We offer an intuitive and interactive way to engage with State Street Global Markets'® research. With Insights, you can read market commentary from our team of macro strategists and explore the most interesting trends in our daily indicators of investor behavior, risk, inflation and sentiment based on award-winning research.1
In our 2025 market outlook, we identified the pressing questions that would shape global financial markets this year; would investors remain overweight equities, could the US remain exceptional and was there trouble ahead for the US dollar to name a few.
In just three months, the market’s conviction, as captured in concentrated positions in risk and US assets, has quickly evaporated in the face of policy and economic uncertainty. But as we move into the second quarter, we return to our original questions and using State Street’s metrics of investor behavior, assess whether the dramatic market adjustments mark a bottom or are the start of a longer-term adjustment process.
It will take a few months to properly judge whether the tariffs implemented so far are passing through into consumer prices, but with bond markets in such a fragile state, April’s inflation print will be an important check for the growing stagflation narrative.
So far, 10 days into the month, PriceStats shows some firmness in price formation. But price pressures still appear relatively tepid compared to prior shocks and the annual inflation rate is stable for now.
Holdings
The State Street Holdings indicators show that long-term investor allocations to equities have continued their reverse from the post-global financial crisis highs earlier in the year. During March, outflows from equities of 0.75% were offset by inflows into bonds and cash of 0.4% and 0.35%, respectively.
Risk Appetite
The State Street Risk Appetite Index fell to -0.09 in March, as investors continue their retracement from risk assets towards a more cautious and defensive multi-asset stance.
We offer intuitive and interactive ways to engage with State Street Global Markets' research.
Our home section is at the core of Insights and is the starting point for exploring our research. We curate a feed of the most relevant and exciting content that is of greatest interest to you, based on your research preferences, saved views, and our Insights AI engine.
In Research, explore our catalogue of research by filtering on publication type, author, or theme. Once you’re satisfied with your search, sort the results by the latest or most popular research meeting your criteria and subscribe to future publications or authors.
Choose how you want to engage with our indicators. Browse our Indicator section to analyze trends across market segments and through time.
In Research a Trade Idea, look across flagship indicator pairings in investor behavior, risk, inflation and sentiment to get a feel for the investment environment in the market segment of your choosing.
Or, if you’re looking for a more hands-on approach, visit our Signal Studio and craft your own indicator combinations.
Our expansive suite of investment indicators provides investors with an information edge. We provide measures of:
- Investor Behavior
- Risk Regimes
- Media Sentiment
- Consumer Prices
Our team of macro strategists produce regular commentary on equity, fixed income, and currency markets around the world. We offer a differentiated view on global market trends, risk, and opportunities.
Access our white papers and peer-reviewed research articles related to macro / multi-asset investor behavior, hedging, risk regimes, liquidity risk, private assets, portfolio construction, and more.
By Megan Czasonis, Mark Kritzman, and David Turkington
We show that relevance-based prediction offers an elegant solution to the problem of incomplete data, preserving valuable information and enhancing prediction reliability in a way that is not possible using traditional models.
When setting out to form data-driven predictions, it’s common to encounter incomplete information, such as a time series with shorter history lengths or observations with missing data. Traditional methods for addressing this challenge either discard valuable data or manufacture replacements based on limiting assumptions, leading to unreliable results. We propose a novel technique called Relevance-Based Prediction (RBP), which elegantly navigates the pitfalls of missing data by retaining more information and accounting for the relative importance of observations for which only partial data is available. We show that RBP offers an elegant solution to the problem of incomplete data, preserving valuable information and enhancing prediction reliability in a way that is not possible using traditional models.
By Megan Czasonis, Mark Kritzman and David Turkington
We show how our method of relevance-based prediction implements similar logic to a highly complex machine learning model, but relevance is extremely transparent.
What is the best way to form predictions from a data sample? This is a big question, but at its core lies a fundamental tension between explaining the past and anticipating the future. Predictions can fail by paying too little attention to the past (underfitting) or by paying too much attention (overfitting). High-complexity machine learning models address this problem by recombining past information in thousands (or millions) of exotic ways to map out generalized rules for any situation. An alternative method, called relevance-based prediction, considers each situation one at a time, and extracts the past data that is most useful for that task. We show that there is a deep connection between the two approaches, but only relevance maintains the transparency that makes it easy to explain precisely how each past experience informs a prediction.
By Alexander Swade, Matthias X. Hanauer, Harald Lohre, and David Blitz
The authors propose a straightforward yet effective method to identify the factors that capture most of the available "alpha".
Since the introduction of the Capital Asset Pricing Model (CAPM), researchers have been on a quest to find the most important factors, leading to a crowded "factor zoo." Despite the variety of these factors, academic models suggested for years that most of them can be boiled down to just four to six key ones. Recent publications in this area have overcome one key challenge in sorting through this factor zoo: Not only did they reconstruct a majority of factors from the literature and publish them in open-source databases but also addressed the so-called replication crisis in finance with this approach. The authors propose a straightforward yet effective method to identify the factors that capture most of the available "alpha". These findings help investors navigate the complex factor zoo by pinpointing strong alpha contributors and comprehensive models. It also highlights the ongoing need for innovation and adjustments in models.
By Megan Czasonis, Mark Kritzman, and David Turkington
As the race to design sophisticated data analytics continues, we show why relevance-based prediction offers an ideal way to measure the importance of an input variable to a prediction.
T-statistics act as a hallmark for rigor by pinpointing the effect of a single variable and distinguishing signal from noise. However, they have significant limitations: (1) t-stats do not capture ‘shared’ information, (2) t-stats are not prediction-specific, and (3) t-stats only consider linear relationships. In a recent paper, we introduce an alternative method, called Relevance-Based Importance (RBI), which measures the importance of every variable to the reliability of every individual prediction. RBI recognizes that it is almost never the case that a variable is always important, or that it is never important. Rather, it's more likely that variables are sometimes important, depending on the circumstance. We show that RBI brings the virtues of t-statistics but also adapts to each unique situation, making it robust to complexities where t-stats fall short.
By Megan Czasonis, Huili Song, and David Turkington
We show that LLMs can effectively extrapolate from disparate domains of knowledge to reason through economic relationships, and that this may have advantages over narrower statistical models.
Fundamentally, large language models (LLMs) and numerical models both learn patterns in training data. However, while traditional models rely on narrowly curated datasets, LLMs can extrapolate patterns across disparate domains of knowledge. In new research, we explore whether this ability is valuable for predicting economic outcomes. First, we ask LLMs to infer economic growth based on hypothetical conditions of other economic variables. We then use our Model Fingerprint framework to interpret how they use linear, nonlinear, and conditional logic to understand economic linkages. We find that their reasoning is intuitive, and it differs meaningfully from the reasoning of statistical models. We also compare the accuracy of the models’ reasoning using historical data and find that the LLMs infer growth outcomes more reliably than the statistical models. These results suggest that LLMs can effectively reason through economic relationships and that cross-domain extrapolation may add value above explicit statistical analysis.
By William Kinlaw, Mark Kritzman, and David Turkington
Conventional statistics hide important realities that investors need to know.
The correlation coefficient often fails to capture what really matters to investors. There are two reasons for this. First, investors often measure correlations using monthly data and assume that they also hold over one-year, five-year or ten-year periods. Unfortunately, in the real world, they often don’t. The second reason has to do with a fundamental misconception about diversification. The fact is, investors don’t always want it. Sure, they want it on the downside, in order to offset the poor performance of one or more assets. But on the upside they prefer all assets to rise in unison, which is the opposite of diversification. Put differently, they’d be happy to place their eggs, conveniently, in a single basket provided nobody steals it. Our research shows that correlations can vary through time based on a range of conditions including the level of interest rates, the degree of turbulence in financial markets, and the performance of major equity markets. Overall, our findings challenge the notion that returns evolve as a simple “random walk,” a critical pre-condition without which we must interpret the correlation coefficient distrustfully. To address these issues, we introduce the notion of co-occurrence and offer a new perspective on how investors should diversify portfolios.
By Megan Czasonis, Mark Kritzman, and David Turkington
We propose a new currency hedging technique called full-scale hedging, which accounts for the complexities of diversification.
Diversification is nuanced and summary statistics, such as correlation, fail to capture complexities that lie below the surface. For investors, these complexities matter—accounting for them can make the difference between an effective, or ineffective, hedging strategy. In the case of currencies, investors often determine risk-minimizing hedge ratios based on the portfolio’s betas to those currencies or with mean-variance optimization. In both cases, the optimal solution depends crucially on the correlation between the currencies and assets in the portfolio. But correlation is an unreliable estimate of the diversification investors actually care about: the co-occurrences of the cumulative returns of the portfolio and currencies over the investment horizon. We propose a new currency hedging technique called full-scale hedging, which addresses these challenges by considering the full distribution of co-occurrences between currencies and the portfolio.
By Alexander Cheema-Fox and Robin Greenwood
Using a uniquely deep proprietary dataset, we detail how global investors across regions and asset classes hedge their currency risk, stick to their hedges, and adjust their hedging targets over time.
Currency risk is a key component of global investor returns, but different categories of investor approach these exposures differently. Using State Street’s proprietary custodial data, we have a uniquely precise view into how investors actually choose to hedge and how that varies over time, by asset class, and across different investor domiciles. We introduce a new quantity, the “dynamic hedge ratio,” to capture how investors adjust their hedge ratios and rebalance their currency risk over time. We find that US investors hedge less than others, that equity investors hedge less than fixed-income investors, and that investors tend to stick to target hedge ratios. Moreover, we find that average hedge ratios vary through time with currency, equity, and bond factors, yet exhibit a post GFC shift towards higher hedge ratios that cannot be explained by these factors.
2024 State Street Summer Sessions Webinar Series
This summer we reviewed the fundamentals of finance and investing! Even the most sophisticated investors can benefit from an occasional tune-up. For our fourth annual State Street Summer Sessions, our team of academic and industry experts went back to basics, covering the core principles of modern investing.
Connecting theory to practice, our Global Markets research experts and academic partners covered topics such as inflation, liquidity, private markets, and much more.
CPE credit is offered for those who are CFA charterholders. You can earn 1 hour of credit for attending an hour long Summer Session. To qualify, you must attend the webinar in its entirety, answer the three polling questions throughout the webinar, and submit the Credit Request Form. Please reach out to Insights@StateStreet.com to request your form. We will also send out the form after the webinar. You must specify which session you are requesting credit for.
To view our APAC Region Foundations of Investing Seminar Series, click here.
Thursday June 27, 2024
9am EST
Geopolitics and Markets
Daniel Drezner, Tufts University’s Fletcher School of Law and Diplomacy, State Street Associates Academic Partner | Replay Available
The past few years have highlighted a sea change in how governments approach their own economies and the global economy, adding an additional layer of uncertainty to markets. Geopolitical hotspots have the potential to generate significant economic fallouts. The year of elections is only half over, and the biggest votes are coming soon. Political analyst Daniel Drezner dissects the role that politics will be playing in the months to come.
Tuesday, July 9, 2024
11am EST
Generative AI, Climate Solutions and Investment Implications
George Serafeim, Harvard Business School, State Street Associates Academic Partner| Replay Available
Presenting an application of Generative AI to identify climate technologies and innovation and the implications for growth, risk and valuation across different sectors of the economy.
Thursday, July 11, 2024
9am EST
How Central Banking Relates to Markets and Economies
Robin Greenwood, Harvard Business School, State Street Associates Academic Partner| Replay Available
In an increasingly interconnected world, it is impossible to succeed as an investor without a firm grasp on economic fundamentals and policy levers. In this session, Robin Greenwood ꟷ the George Gund Professor of Finance ꟷ will review the fundamental tenets of central banking with a focus on the main questions global investors should be thinking about in 2024.
Tuesday, July 16, 2024
10am EST
The Limits of Diversification
Will Kinlaw, Senior Managing Director, Head of Global Markets Research, State Street Global Markets | Replay Available
To diversify is one of the fundamental tenets of investing. Yet what seems straightforward in theory is complex in practice. Correlations can be asymmetric and unstable through time. Moreover, correlations measured over shorter intervals do not necessarily extrapolate to longer intervals. This presentation will synthesize more than 10 years of published research into these questions, analyze the challenge from a new perspective, and propose actionable solutions to help investors construct more resilient portfolios.
Thursday, July 18, 2024
10am EST
Inflation Explained: Measurement, Causes, and Latest Trends
Alberto Cavallo, Harvard Business School, State Street Associates Academic Partner| Replay Available
The recent trends indicate that the inflation crisis is ending. However, central banks and investors remain vigilant and cautious about the potential future trajectory, reflecting the persistent uncertainties in the economic landscape. In this session, Alberto Cavallo ꟷ the Thomas S. Murphy Professor of Business Administration at Harvard Business School, co-founder of PriceStats, and member of the Technical Advisory Committee of the U.S. Bureau of Labor Statistics (BLS) ꟷ will discuss the fundamentals of how inflation is measured, what drives it, and how to think about the risk to investors in 2025
Tuesday, July 23, 2024
9am EST
Investing in Private Markets
Josh Lerner, Harvard Business School, State Street Associates Academic Partner| Replay Available
Throughout 2023 and the first half of 2024, private equity faced enormous challenges, navigating lower capital inflow, slower exit activity, decreased valuations and higher capital costs. In this lecture, Harvard Business School professor Josh Lerner will discuss the major factors to consider when investing in today's market conditions.
Professor Lerner will provide insight into the drivers of the historic private equity (PE) boom, current trends that are impacting the direction of the market, and secular shifts that will influence the long-term outlook of PE. The content will draw from a combination of academic research, industry data, and expert insights to provide a 360-degree view of the market landscape. From this lecture, investors will gain a foundation for positioning themselves for success amidst present and future market dynamics.
Thursday July 25, 2024
10am EST
Theory and Practice of Sentiment Analysis Using AI
Gideon Ozik, CFA, PhD, MKT MediaStats, State Street Associates Academic Partner | Replay Available
Analysis of textual information pertaining to stocks, bonds, and currencies can provide investors with valuable insights into market trends and investor behaviors, as well as improve their ability to predict future fluctuations of asset prices.
In this session, we will cover various textual analysis methodologies, review advancements in AI and Large Language Models (LLM), and demonstrate practical applications such as prediction of stock returns using LLMs applied to media coverage, short squeezes using social media, treasury yields using media coverage of monetary policy, and introduce analysis of local media to forecast election outcomes.
Tuesday, July 30, 2024
9am EST
Understanding Chinese Policies and Cross Asset Implications
Ben Luk and Yuting Shao, State Street Global Markets Research | Replay Available
China’s increasing importance not only in emerging markets but also globally means investors are closely following every move out of Beijing. Meanwhile, with China’s post-Covid pent-up demand start to run out of steam, continued weak prices and property sector slump underpin concerns on whether China is able to turn the macro economy around. What’s more, the 3rd Plenum and upcoming US general elections add another layer of policy and geopolitical uncertainty. In this summer session, Ben Luk and Yuting Shao take a deep dive into China’s macro economy and asset classes to try to understand the dynamics of underlying drivers and implications for emerging markets and broader global economy.
Thursday, August 1, 2024
9am EST
Relevance-Based Prediction: A Transparent and Adaptive Alternative to Machine learning
Mark Kritzman, Founding Partner, State Street Associates, State Street Global Markets Founding Partner, CEO, Windham Capital Management, LLC, Chairman, Windham’s Investment Committee | Replay Available
Relevance-based prediction is a model-free approach to prediction that forms predictions as relevance-weighted averages of observed outcomes. The relevance weights are composed of similarity and informativeness, which are both measured as Mahalanobis distances. This prediction method deals with complexities that are beyond the reach of conventional prediction techniques such as linear regression analysis, and it does so in a way that is more transparent, more adaptive, and more theoretically justified than widely used machine learning algorithms.
Tuesday August 6, 2024
9am EST
Quant Strategies and Backtests: Building Blocks and Best Practices
Andrew Li and Alex Cheema-Fox, State Street Associates| Replay Available
We explore the philosophy, mechanisms, and logistics of quantitative strategies and backtesting. This includes how and why to formulate a backtest, modes of testing (e.g. cross-sectional relative value vs market timing), signal construction (simple linear vs machine learning), data wrangling considerations (e.g. ensuring data are point-in-time), and performance evaluation (e.g. risk-adjusted returns, turnover). Illustrative examples from various asset classes are presented.
Thursday, August 8, 2024
9am EST
Addressing Portfolio Risk and Regimes
Meg Czasonis, State Street Associates | Replay Available
Investing always entails risk, and it must be managed. But risk is a multidimensional concept which makes it challenging to measure, and even more challenging to control. In this presentation, Megan Czasonis, head of Portfolio Management Research at State Street Associates, will discuss the benefits and limitations to a range of statistical risk measures—from conventional notions of volatility and value-at-risk to more intricate measurement of losses—as well as conducing regime-specific stress tests and managing portfolio risk.
Tuesday August 13, 2024
10am EST
Machine Learning Interpretation and Model Fingerprint
David Turkington and Huili Song, State Street Associates| Replay Available
Machine learning brings exciting opportunities to investing by utilizing advanced models capable of processing complex nonlinearity and interaction patterns that are powerful for statistical predictions. However, applying machine learning to investing also faces challenges that differ from other disciplines where machine learning has excelled. The primary challenge is the black box problem – the lack of trust and transparency in understanding the models. In this summer session, we will discuss both the opportunities and challenges of applying machine learning to investing, and presenting our solutions that help human users comprehend how a machine learning model arrives at a prediction.
Tuesday, August 20, 2024
11am EST
The Evolution of Crypto Markets
Antoinette Schoar, MIT Sloan School of Management, State Street Associates Academic Partner | Replay Available
Recent developments in the crypto market saw an increasing entry of traditional financial institutions and an expanding role for centralized exchanges. We explore the implications of these trends for systemic risk, data privacy and transparency, as well as consumer financial protection.
Tuesday August 27, 2024
10am EST
Understanding Market Liquidity
Ronnie Sadka, Boston College Carroll School of Management, State Street Associates Academic Partner | Replay Available
Despite having been a key determinant of asset prices for decades, liquidity is still a difficult concept to define and properly understand. In this session, we shall review the theoretical economic underpinnings of market liquidity, and discuss its multi-faceted role in determining market prices and investment strategies. Alternative measures will be introduced as well as practical applications. Further attention will be devoted to the impact of recent market trends, such as retail trading and social media on market liquidity.
Join us for the 2024 State Street Foundations of Investing Seminar Series
This year we reviewed the fundamentals of finance and investing! Even the most sophisticated investors can benefit from an occasional tune-up. For our fourth annual State Street Foundations of Investing Seminar Series, our team of academic and industry experts went back to basics, covering the core principles of modern investing.
Connecting theory to practice, our Global Markets research experts and academic partners covered topics such as inflation, liquidity, private markets, and much more.
To view our NA/EMEA Summer Sessions, click here.
Thursday, July 18, 2024
9am HK
The Limits of Diversification
Will Kinlaw, Senior Managing Director, Head of Global Markets Research, State Street Global Markets | Replay Available
To diversify is one of the fundamental tenets of investing. Yet what seems straightforward in theory is complex in practice. Correlations can be asymmetric and unstable through time. Moreover, correlations measured over shorter intervals do not necessarily extrapolate to longer intervals. This presentation will synthesize more than 10 years of published research into these questions, analyze the challenge from a new perspective, and propose actionable solutions to help investors construct more resilient portfolios.
Thursday, August 1, 2024
9am HK
Understanding Chinese Policies and Cross Asset Implications
Ben Luk and Yuting Shao, State Street Global Markets Research | Replay Available
China’s increasing importance not only in emerging markets but also globally means investors are closely following every move out of Beijing. Meanwhile, with China’s post-Covid pent-up demand start to run out of steam, continued weak prices and property sector slump underpin concerns on whether China is able to turn the macro economy around. What’s more, the 3rd Plenum and upcoming US general elections add another layer of policy and geopolitical uncertainty. In this summer session, Ben Luk and Yuting Shao take a deep dive into China’s macro economy and asset classes to try to understand the dynamics of underlying drivers and implications for emerging markets and broader global economy.
Thursday, August 8, 2024
9am HK
Quant Strategies and Backtests: Building Blocks and Best Practices
Andrew Li and Alex Cheema-Fox, State Street Associates| Replay Available
We explore the philosophy, mechanisms, and logistics of quantitative strategies and backtesting. This includes how and why to formulate a backtest, modes of testing (e.g. cross-sectional relative value vs market timing), signal construction (simple linear vs machine learning), data wrangling considerations (e.g. ensuring data are point-in-time), and performance evaluation (e.g. risk-adjusted returns, turnover). Illustrative examples from various asset classes are presented.
Thursday, August 15, 2024
9am HK
Machine Learning Interpretation and Model Fingerprint
David Turkington and Huili Song, State Street Associates| Replay Available
Machine learning brings exciting opportunities to investing by utilizing advanced models capable of processing complex nonlinearity and interaction patterns that are powerful for statistical predictions. However, applying machine learning to investing also faces challenges that differ from other disciplines where machine learning has excelled. The primary challenge is the black box problem – the lack of trust and transparency in understanding the models. In this summer session, we will discuss both the opportunities and challenges of applying machine learning to investing, and presenting our solutions that help human users comprehend how a machine learning model arrives at a prediction.
Thursday, August 22, 2024
9am HK
Geopolitics and Markets
Daniel Drezner, Tufts University’s Fletcher School of Law and Diplomacy, State Street Associates Academic Partner | Replay Available
The past few years have highlighted a sea change in how governments approach their own economies and the global economy, adding an additional layer of uncertainty to markets. Geopolitical hotspots have the potential to generate significant economic fallouts. The year of elections is only half over, and the biggest votes are coming soon. Political analyst Daniel Drezner dissects the role that politics will be playing in the months to come.
Thursday, August 29, 2024
9am HK
Theory and Practice of Sentiment Analysis Using AI
Gideon Ozik, CFA, PhD, MKT MediaStats, State Street Associates Academic Partner | Replay Available
Analysis of textual information pertaining to stocks, bonds, and currencies can provide investors with valuable insights into market trends and investor behaviors, as well as improve their ability to predict future fluctuations of asset prices.
In this session, we will cover various textual analysis methodologies, review advancements in AI and Large Language Models (LLM), and demonstrate practical applications such as prediction of stock returns using LLMs applied to media coverage, short squeezes using social media, treasury yields using media coverage of monetary policy, and introduce analysis of local media to forecast election outcomes.
State Street Global Markets’ Machine Learning Stock Selection Model uses a data-driven approach and machine learning techniques to predict sector-relative performance of U.S. large cap stocks. Our model:
• Incorporates State Street’s proprietary indicators of media sentiment and behavioral trends
• Uses our Model Fingerprint framework to offer insights into the key drivers of stock returns
• Shows strong efficacy in predicting sector-relative stocks returns in an out-of-sample backtest
The model’s predictions are updated monthly and are available on Insights (click here to learn more). Please note that the Machine Learning Stock Selection Model is currently available for U.S.-based clients.
By Mark Kritzman, Huili Song, and David Turkington.
We show how warping time renders stock price bubbles comparable, revealing common patterns that investors can use to detect new bubbles and time exposure to their rise and fall.
Can history offer a guide to understanding future stock-price bubbles? The answer is yes, but we have to learn how to bend time. Thankfully, a method called dynamic time warping offers the solution. Previous bubbles occur at different paces: some rise fast and others slowly, some crash after weeks while others persist for years. By stretching and shrinking the timeline of thousands of bubble events, we systematically place them side by side and find more commonalities in their attributes' patterns than a calendar view suggests. We then use various attributes collectively to assess the likelihood of a developing bubble and identify its lifecycle stage, from inception to peak to conclusion. A simple trading rule seeking to invest in bubble run-ups and post-crash over reactions, while avoiding the peak, generates compelling performance in out-of-sample backtests.
2023 State Street Foundations of Investing Seminar Series
This year we reviewed the fundamentals of finance and investing! Even the most sophisticated investors can benefit from an occasional tune-up. For our third annual State Street Foundations of Investing Seminar Series, our team of academic and industry experts went back to basics, covering the core principles of modern investing.
Connecting theory to practice, our Global Markets research experts and academic partners covered topics such as inflation, liquidity, private markets, and much more. Check back here for the replay videos when they become available.
Thursday, June 29th 2023 at 9:00am HKT
How Carbon Emissions Connect to Investing
George Serafeim, Harvard Business School (bio) | REPLAY AVAILABLE
Presenting a framework on how carbon emissions link to growth, risk, and valuation across different sectors of the economy.
Thursday, July 13th 2023 at 9:00am HKT
The Prospects For and Implications of Chinese Financial Liberalization
Dwyfor Evans and Yuting Shao (bio), State Street Macro Strategy | REPLAY AVAILABLE
Currency control has been a hallmark of Chinese economic policy. However, as economic development matures, the need to foster internal capital markets, policy orthodoxy and, ultimately, liberalize the capital account amid the broader prospects for renminbi internationalization becomes more pressing. We take a close look at monetary policy and interest rate liberalization over the years, including the growth of the offshore market that has enabled China to experiment with reforms. Its commitment and timing around further liberalization remains a matter of conjecture, beyond the limited scope of ‘Connect’ programs tied to Hong Kong. As China’s economic and political influence expands, how will Chinese authorities balance their competing priorities, such as: gaining access to international markets, implementing monetary policy reforms and maintaining institutional stability? Meanwhile, how should institutional investors position themselves in Chinese asset markets and navigate through the economic and financial risks that ensue?
Thursday, July 20th 2023 at 9:00am HKT
Relevance-Based Prediction
Mark Kritzman, MIT Sloan School of Management (bio) | REPLAY AVAILABLE
This presentation describes a new mathematical system for predicting future outcomes based on a statistical concept called relevance, which gives a mathematically precise and theoretically justified measure of the importance of an observation to a prediction. It also describes fit, which measures a specific prediction’s reliability, thereby offering guidance about how committed one should be to its predictions. And it shows how fit identifies the uniquely optimal combination of observations and predictive variables for each individual prediction task. This new relevance-based prediction system addresses complexities that are beyond the capacity of conventional prediction models, but in a way that is more transparent, more flexible, and less arbitrary than widely used machine learning algorithms.
Thursday, July 27th 2023 at 9:00am HKT
Narrative Economics in Practice
Gideon Ozik, MKT MediaStats (bio) | REPLAY AVAILABLE
Empirical measures of narratives can help investors quantify attention to stories and in turn, enhance portfolio returns. The summer session will discuss how media-derived measures of narratives can explain market-wide moves and how investors may use such measures to assess portfolio exposures to (otherwise) intangible risks.
We will examine specific applications of narrative economics to improve portfolio and risk management processes using a variety of narratives including inflation, escalation of nuclear tensions and civil unrest. We will then discuss how narrative-conscious strategies may improve stress scenario analysis and asset allocation. Finally, we will review methods by which investors may gain or hedge financial exposure to emerging themes by constructing portfolios of narrative-sensitive assets.
Thursday, August 3rd 2023 at 9:00am HKT
An Overview of Private Markets Investing
Josh Lerner, Harvard Business School (bio) | REPLAY AVAILABLE
After a historic boom leading into 2022, the private market now sits at an inflection point. Uncertainty is high, making investors' job of navigating the current private market landscape difficult. In this lecture, Harvard Business School professor Josh Lerner will discuss the major factors to consider when investing in today's market conditions. Professor Lerner will give insight on the drivers of the historic private equity (PE) boom, current trends that are impacting the direction of the market, and secular shifts that will influence the long-term outlook of PE. The content will draw from a combination of academic research, industry data, and expert insights to provide a 360-degree view of the market landscape. From this lecture, investors will develop a backdrop for positioning themselves for success amidst present and future market dynamics.
Thursday, August 10th 2023 at 9:00am HKT
Defining and Measuring Inflation
Alberto Cavallo, Harvard Business School (bio) | REPLAY AVAILABLE
As the global economy reemerges from the global COVID-19 pandemic and central banks raise interest rates to contain prices, inflation risk looms large in the minds of investors. In this session, Alberto Cavallo — the Edgerley Family Professor at Harvard Business School, co-founder of PriceStats, and member of the Technical Advisory Committee of the U.S. Bureau of Labor Statistics (BLS) — will discuss the fundamentals of how inflation is measured, what drives it, and how to think about the risk to investors in 2023.
Thursday, August 17th 2023 at 9:00am HKT
How Behavioral Biases Impact Markets
Alex Cheema-Fox, State Street Associates (bio) | REPLAY AVAILABLE
Sophisticated investors have long recognized that market participants are not always 100 percent rational and that behavioral biases and trends can influence markets. It is essential that investors learn to recognize these patterns — both in themselves and the markets at large — as well as how to measure and account for them when managing portfolios. In this session, Alex Cheema-Fox, Head of Investor Behavior Research at State Street Associates — reviews key principles of behavioral finance with a practical focus on implications for investment management.
Thursday, August 24th 2023 at 9:00am HKT
Central Banking Strategies and Challenges
Robin Greenwood, Harvard Business School (bio) | REPLAY AVAILABLE
In an increasingly interconnected world, it is impossible to succeed as an investor without a firm grasp on economic fundamentals and policy levers. In this session, Robin Greenwood — the George Gund Professor of Finance — will review the fundamental tenets of central banking with a focus on the main questions global investors should be thinking about in 2023.
Thursday, August 31st 2023 at 9:00am HKT
Currency Hedging and Currency Factors
David Turkington and Megan Czasonis, State Street Associates (bio) | REPLAY AVAILABLE
When investors seek returns in foreign markets, they inevitably gain exposure to currency risk. Efficiently managing this risk and turning it into an opportunity to enhance performance requires a well-defined currency process. In this presentation, Megan Czasonis (Head of Portfolio Management Research at State Street Associates) and David Turkington (Head of State Street Associates) will discuss how to approach currency hedging, first from the perspective of managing risk, and second from the perspective of generating active returns. In doing so, they’ll discuss how to balance the risk and diversification properties of foreign currencies, show how factors — both traditional and new — can explain currency moves, and identify which factors have worked well lately and which have broken down.
2023 State Street Summer Sessions Webinar Series
This summer we reviewed the fundamentals of finance and investing! Even the most sophisticated investors can benefit from an occasional tune-up. For our third annual State Street Summer Sessions, our team of academic and industry experts went back to basics, covering the core principles of modern investing.
Connecting theory to practice, our Global Markets research experts and academic partners covered topics such as inflation, liquidity, private markets, and much more. Replay videos are starting to get added, so check back here for updates!
CPE credit is offered for those who are CFA charterholders. You can earn 1 hour of credit for attending an hour long Summer Session. To qualify, you must attend the webinar in its entirety, answer the three polling questions throughout the webinar, and submit the Credit Request Form. Please reach out to Insights@StateStreet.com to request your form. We will also send out the form after the webinar. You must specify which session you are requesting credit for.
To view our APAC Region Foundations of Investing Seminar Series, click here.
Thursday June 15, 2023
11 a.m. EST
How Carbon Emissions Connect to Investing
George Serafeim, Harvard Business School (bio) | REPLAY AVAILABLE
Presenting a framework on how carbon emissions link to growth, risk, and valuation across different sectors of the economy.
Tuesday June 20, 2023
9 a.m. EST
Understanding Market Liquidity
Ronnie Sadka, Boston College Carroll School of Management (bio) | REPLAY AVAILABLE
Despite having been a key determinant of asset prices for decades, liquidity is still a difficult concept to define and properly understand. In this session, we shall review the theoretical economic underpinnings of market liquidity, and discuss its multi-faceted role in determining market prices and investment strategies. Alternative measures will be introduced as well as practical applications. Further attention will be devoted to the impact of recent market trends, such as retail trading and social media on market liquidity.
Thursday June 22, 2023
10 a.m. EST
How Behavioral Biases Impact Markets
Alex Cheema-Fox, State Street Associates (bio) | REPLAY AVAILABLE
Sophisticated investors have long recognized that market participants are not always 100 percent rational and that behavioral biases and trends can influence markets. It is essential that investors learn to recognize these patterns — both in themselves and the markets at large — as well as how to measure and account for them when managing portfolios. In this session, Alex Cheema-Fox, Head of Investor Behavior Research at State Street Associates — reviews key principles of behavioral finance with a practical focus on implications for investment management.
Thursday June 29, 2023
9 a.m. EST
An Overview of Private Markets Investing
Josh Lerner, Harvard Business School (bio) | REPLAY AVAILABLE
After a historic boom leading into 2022, the private market now sits at an inflection point. Uncertainty is high, making investors' job of navigating the current private market landscape difficult. In this lecture, Harvard Business School professor Josh Lerner will discuss the major factors to consider when investing in today's market conditions. Professor Lerner will give insight on the drivers of the historic private equity (PE) boom, current trends that are impacting the direction of the market, and secular shifts that will influence the long-term outlook of PE. The content will draw from a combination of academic research, industry data, and expert insights to provide a 360-degree view of the market landscape. From this lecture, investors will develop a backdrop for positioning themselves for success amidst present and future market dynamics.
Tuesday July 11, 2023
11 a.m. EST
The Limits of Diversification
Will Kinlaw, State Street Associates (bio) | REPLAY AVAILABLE
To diversify is one of the fundamental tenets of investing. Yet what seems straightforward in theory is complex in practice. Correlations can be asymmetric and unstable through time. Moreover, correlations measured over shorter intervals do not necessarily extrapolate to longer intervals. This presentation will synthesize more than 10 years of published research into these questions, analyze the challenge from a new perspective, and propose actionable solutions to help investors construct more resilient portfolios.
Thursday July 13, 2023
9 a.m. EST
The Prospects For and Implications of Chinese Financial Liberalization
Dwyfor Evans and Yuting Shao (bio), State Street Macro Strategy | REPLAY AVAILABLE
Currency control has been a hallmark of Chinese economic policy. However, as economic development matures, the need to foster internal capital markets, policy orthodoxy and, ultimately, liberalize the capital account amid the broader prospects for renminbi internationalization becomes more pressing. We take a close look at monetary policy and interest rate liberalization over the years, including the growth of the offshore market that has enabled China to experiment with reforms. Its commitment and timing around further liberalization remains a matter of conjecture, beyond the limited scope of ‘Connect’ programs tied to Hong Kong. As China’s economic and political influence expands, how will Chinese authorities balance their competing priorities, such as: gaining access to international markets, implementing monetary policy reforms and maintaining institutional stability? Meanwhile, how should institutional investors position themselves in Chinese asset markets and navigate through the economic and financial risks that ensue?
Tuesday July 18, 2023
9 a.m. EST
Introduction to Exchange Rates, Overshoots in Theory and in Practice
Michael Metcalfe, State Street Macro Strategy (bio) | REPLAY AVAILABLE
Exchange rates are fundamentally crucial for inflation, growth and international portfolios, as well as the cost of your summer vacation. Yet even though they are one of the deepest and most liquid financial markets, they remain one of the hardest to value and (sometimes) to understand. While theory suggests that exchange rates should calibrate around interest rate differentials or equalizing the prices of internationally tradeable goods or a broader set of equilibriums that produce internal and external balances in an economy. In practice, exchange rates are able to deviate substantially from such theoretical constructs as they jump between different macro drivers. With reference to ongoing correction of the US dollar’s overshoot that is being seen in 2023, we offer a guide as to how currency investment processes aim to cope with such an unruly asset class.
Thursday July 20, 2023
10 a.m. EST
Relevance-Based Prediction
Mark Kritzman, MIT Sloan School of Management (bio) | REPLAY AVAILABLE
This presentation describes a new mathematical system for predicting future outcomes based on a statistical concept called relevance, which gives a mathematically precise and theoretically justified measure of the importance of an observation to a prediction. It also describes fit, which measures a specific prediction’s reliability, thereby offering guidance about how committed one should be to its predictions. And it shows how fit identifies the uniquely optimal combination of observations and predictive variables for each individual prediction task. This new relevance-based prediction system addresses complexities that are beyond the capacity of conventional prediction models, but in a way that is more transparent, more flexible, and less arbitrary than widely used machine learning algorithms.
Tuesday July 25, 2023
11 a.m. EST
Introduction to FX Options
Tim Graf, State Street Macro Strategy (bio) | REPLAY AVAILABLE
Derivative markets are one of the many drivers of spot markets for foreign currencies, but their effects are often underappreciated. In this session, Tim Graf provides a brief overview of FX option basics and focus on how flows related to option hedging can drive currency movements.
Thursday July 27, 2023
9 a.m. EST
Narrative Economics in Practice
Gideon Ozik, MKT MediaStats (bio) | REPLAY AVAILABLE
Empirical measures of narratives can help investors quantify attention to stories and in turn, enhance portfolio returns. The summer session will discuss how media-derived measures of narratives can explain market-wide moves and how investors may use such measures to assess portfolio exposures to (otherwise) intangible risks.
We will examine specific applications of narrative economics to improve portfolio and risk management processes using a variety of narratives including inflation, escalation of nuclear tensions and civil unrest. We will then discuss how narrative-conscious strategies may improve stress scenario analysis and asset allocation. Finally, we will review methods by which investors may gain or hedge financial exposure to emerging themes by constructing portfolios of narrative-sensitive assets.
Tuesday August 8, 2023
9 a.m. EST
DeFi: Important Lessons and the Path Ahead
Antoinette Schoar, MIT Sloan School of Management (bio) | REPLAY AVAILABLE
The fast-growing decentralized finance (DeFi) system aims to build a new financial architecture that does not rely on traditional intermediaries and reduces rents in the financial sector, but recent events have shown that it also generates formidable challenges for market participants and regulators. This talk discusses the mechanics behind DeFi and lays out potential risks and benefits of this new architecture using forensic analysis from the Terra Luna crash.
Thursday August 10, 2023
10 a.m. EST
Defining and Measuring Inflation
Alberto Cavallo, Harvard Business School (bio) | REPLAY AVAILABLE
As the global economy reemerges from the global COVID-19 pandemic and central banks raise interest rates to contain prices, inflation risk looms large in the minds of investors. In this session, Alberto Cavallo — the Edgerley Family Professor at Harvard Business School, co-founder of PriceStats, and member of the Technical Advisory Committee of the U.S. Bureau of Labor Statistics (BLS) — will discuss the fundamentals of how inflation is measured, what drives it, and how to think about the risk to investors in 2023.
Tuesday August 15, 2023
9 a.m. EST
Interpretable Machine Learning for Investing
Andrew Li, State Street Associates (bio) | REPLAY AVAILABLE
Machine learning brings exciting opportunities to investing as advanced models that process complex nonlinearity and interaction patterns are powerful for statistical predictions. Machine learning for investing also faces challenges that differ from other disciplines where machine learning has excelled. The most challenging aspect is the black box problem — the lack of trust and transparency in understanding the models. In this summer session we will discuss both the opportunities and challenges when it comes to applying machine learning to investing, and our solution that allows human users to understand how a machine learning model arrives at a prediction.
Tuesday August 22, 2023
11 a.m. EST
Currency Hedging and Currency Factors
David Turkington and Megan Czasonis, State Street Associates (bio) | REPLAY AVAILABLE
When investors seek returns in foreign markets, they inevitably gain exposure to currency risk. Efficiently managing this risk and turning it into an opportunity to enhance performance requires a well-defined currency process. In this presentation, Megan Czasonis (Head of Portfolio Management Research at State Street Associates) and David Turkington (Head of State Street Associates) will discuss how to approach currency hedging, first from the perspective of managing risk, and second from the perspective of generating active returns. In doing so, they’ll discuss how to balance the risk and diversification properties of foreign currencies, show how factors — both traditional and new — can explain currency moves, and identify which factors have worked well lately and which have broken down.
Thursday, August 24, 2023
11 a.m. EST
Central Banking Strategies and Challenges
Robin Greenwood, Harvard Business School (bio) | REPLAY AVAILABLE
In an increasingly interconnected world, it is impossible to succeed as an investor without a firm grasp on economic fundamentals and policy levers. In this session, Robin Greenwood — the George Gund Professor of Finance — will review the fundamental tenets of central banking with a focus on the main questions global investors should be thinking about in 2023.
Time to review the fundamentals of finance and investing! Even the most sophisticated investors can benefit from an occasional tune up. Watch replays from the 2022 State Street Summer Sessions webinar series, where our team of academic and industry experts went back to basics and covered the core principles of modern investing. Connecting theory to practice, our presenters put trends like inflation, cryptocurrencies and ESG investing into context.
How Media Narratives Drive Markets
Ronnie Sadka, Boston College Carroll School of Management | WATCH NOW
Investors' trading activity can be driven by their awareness of relevant narratives discussed in the marketplace. Quantifying such narratives can assist in understanding market price dynamics. In this session, Ronnie Sadka - the senior associate dean for faculty, chairperson and professor of Finance, and the Haub Family Professor at the Carroll School of Management, Boston College - reviewed the basics of behavioral finance and explained how investors should think about these principles in the modern era with a focus on the link between viral narratives and asset prices.
Introduction to Central Banking
Robin Greenwood, Harvard Business School | WATCH NOW
In an increasingly interconnected world, it is impossible to succeed as an investor without a firm grasp on economic fundamentals and policy levers. In this session, Robin Greenwood - the George Gund Professor of Finance - reviewed the fundamental tenets of central banking with a focus on the main questions global investors should be thinking about in 2022.
Introduction to FX Options
Tim Graf, State Street Macro Strategy | WATCH NOW
Derivative markets are one of the many drivers of spot markets for foreign currencies, but their effects are often underappreciated. In this session, Tim Graf provided a brief overview of FX option basics and focus on how flows related to option hedging can drive currency movements.
ESG Fundamentals
George Serafeim, Harvard Business School | WATCH NOW
While ESG investing has grown significantly in recent years, several phenomena raise questions about our ability to define the field of ESG investing. Difficulty to estimate its market size, derive consistent ratings of ESG performance, frequent accusations of ‘cheap talk’ by managers, and recent regulatory actions in both EU and US are signs of the challenge to define the field. In this session, George Serafeim - the Charles M. Williams Professor of Business Administration at Harvard Business School and academic partner at State Street Associates presented a conceptual framework clarifying the meaning of ESG investing by defining its objective, which sets a clear expectation about the outcomes from its application and its key characteristics. As a result, the framework enables investors to have a set of common premises as a basis for discussion, ask the right questions, and limit areas of judgement and unwanted discretion. For asset owners, the framework provides a guide for the evaluation and selection of asset managers and what outcomes to expect from the different approaches to ESG investing. For asset managers, the framework provides clarity about the actions needed to establish credibility in the market and how to create a shared understanding inside the organization about what the organization is trying to achieve.
Portfolio Construction: The Building Blocks of Optimal Diversification
Mark Kritzman, MIT Sloan School of Management and Will Kinlaw, State Street Associates | WATCH NOW
Most investors recognize the importance of portfolio diversification, but few are certain how to achieve it. Some academics and practitioners advocate simple heuristics, such as spreading bets equally, or in proportion to risk. But such basic approaches may leave money on the table. In this session, Mark Kritzman (State Street Associates Founding Partner and CEO of Windham Capital Management) and Will Kinlaw (head of Global Markets Research at State Street) – both coauthors of the book “Asset Allocation: From Theory to Practice and Beyond” – explored the tools and techniques necessary to implement more sophisticated diversification, quantified the benefits from these approaches, and discussed common pitfalls and guidance for achieving the most useful results.
Introduction to Investor Behavior
Alex Cheema-Fox, State Street Associates | WATCH NOW
Sophisticated investors have long recognized that market participants are not always 100 percent rational and that behavioral biases and trends can influence markets. It is essential that investors learn to recognize these patterns - both in themselves and the markets at large - as well as how to measure and account for them when managing portfolios. In this session, Alex Cheema-Fox Head of Flow and Positioning Research at State Street Associates - reviewed key principles of behavioral finance with a practical focus on implications for investment management.
Statistical Prediction: Empirical Methods Grounded in Theory
Mark Kritzman, MIT Sloan School of Management and David Turkington, State Street Associates | WATCH NOW
Classical statistics originated centuries ago, mainly for purposes of gambling and astronomical navigation. Today we are challenged to predict outcomes of more complex systems, such as social behavior. Machine learning can aid in these tasks, but suffers from many challenges of its own. In this session, Mark Kritzman (State Street Associates Founding Partner and CEO of Windham Capital Management) and David Turkington (head of State Street Associates) – both coauthors of a new book “Prediction Revisited: The Importance of Observation” – revealed the building blocks of data-driven prediction from a fresh perspective whereby data represents “experiences” rather than variables, starting with the information theory foundation for linear regression and building to more sophisticated nonlinear and conditional enhancements to predictive modeling.
Measuring and Managing Portfolio Risk
Megan Czasonis, State Street Associates | WATCH NOW
Investing always entails risk, and it must be managed. But risk is a multidimensional concept which makes it challenging to measure, and even more challenging to control. In this session, Megan Czasonis – co-author of “Prediction Revisited: The Importance of Observation” and head of Portfolio Management Research at State Street Associates, discussed the benefits and limitations to a wide range of statistical risk measures, from conventional notions of volatility and value-at-risk to the more intricate measurement of losses that may occur for different time scales and path dependencies. Further extensions include risk attribution for multiple assets in a portfolio and conducting regime-specific stress tests.
Introduction to Private Markets
Josh Lerner, Harvard Business School | WATCH NOW
Private markets have grown dramatically in recent years as investors have sought the higher returns and diversification these assets can introduce to portfolios. These potential benefits also come with a range of complexities. In this course, Josh Lerner - the Jacob H. Schiff Professor of Investment Banking at Harvard Business School, where he established and teaches doctoral courses on entrepreneurship, teaches in the Owners-Presidents-Managers Program, and leads executive courses on private equity - reviewed the core attributes of private markets and what investors need to know today. Josh is an academic partner at State Street Associates, as well as the author of multiple books including “Patient Capital” and “The Money of Invention”.
Making Sense of Machine Learning
Andrew Yimou Li, State Street Associates | WATCH NOW
Machine learning presents some tough questions when applied to investing. What do you do when a model, which has always worked well in the past, all of a sudden predicts something that seems crazy, but you don’t know why? Is it insane… or genius? And how would you explain your decision to your own clients or investors? Machines have a lot to say, if we can figure out how to listen. Andrew Li, Quantitative Researcher at State Street Associates, discussed key principles of machine learning, model interpretability frameworks, and how machines and humans can help each other improve.
Introduction to Blockchain and Cryptocurrencies
Antoinette Schoar, MIT Sloan School of Management | WATCH NOW
As the financial sector adjusts to the far-reaching implications of the blockchain revolution and debates the long-term viability of cryptocurrencies, investors need to understand the fundamental concepts that underpin digital assets. In this session, Antoinette Schoar - the Stewart C. Meyers-Horn Family Professor of Finance at the MIT Sloan School of Management - covered the basics of blockchain, cryptocurrencies, and digital assets with a focus on how they could change financial markets and the risks and limitations that investors need to understand.
Introduction to Inflation
Alberto Cavallo, Harvard Business School | WATCH NOW
As the global economy re-emerges from the global Covid-19 pandemic and central banks around the world continue to hold interest rates near historic lows, inflation risk looms large in the minds of investors. In this session, Alberto Cavallo - the Edgerley Family Associate Professor at Harvard Business School, co-founder of PriceStats, and member of the Technical Advisory Committee of the U.S. Bureau of Labor Statistics (BLS) - discussed the fundamentals of how inflation is measured, what drives it, and how to think about the risk to investors in 2022.
Introduction to exchange rates, overshoots in theory and in practice
Michael Metcalfe, State Street Macro Strategy | WATCH NOW
Exchange rates are fundamentally crucial for inflation, growth and international portfolios, as well as the cost of your summer vacation. Yet even though they are one of the deepest and most liquid financial markets, they remain one of the hardest to value and (sometimes) to understand. While theory suggests that exchange rates should calibrate around interest rate differentials or equalizing the prices of internationally tradeable goods or a broader set of equilibriums that produce internal and external balances in an economy. In practice, exchange rates are able to deviate substantially from such theoretical constructs as they jump between different macro drivers. With reference to the US dollar overshoot that is currently underway in 2022, we offer a guide as to how currency investment processes aim to cope with such an unruly asset class.
Pushing the Informational Edge: Accessing Alternative Data
Gideon Ozik, MKT MediaStats and Rajeev Bhargava, State Street Associates | WATCH NOW
In an increasingly challenging environment of alpha capture, investors are looking beyond traditional data sources as a means to achieve a competitive edge. Digitization and advancements of technology have enabled the collection of previously unmeasurable information, leading to a proliferation of available data sources pertaining to the macro economy and individual firms. While the increased availability of data affords considerable opportunity for economists, investors, and traders it also comes with complexities that need to be understood and addressed. In this session, Rajeev Bhargava, Head of Investment Indicator Research at State Street Associates and Gideon Ozik, founding partner at MKT Mediastats provided an overview of the various sources of alternative data currently available, reviewing the benefits, current academic research, as well as some of the inherent challenges these sources of information yield.
Our goal is to bridge the worlds of financial theory and practice with innovative research for asset managers and owners. We focus on two fundamental drivers of performance to help State Street's clients exceed their performance goals and manage risk.
Our extensive indicator suites provide investors with powerful and practical market intelligence.
We partner with renowned academics to develop impactful new ideas for portfolio construction, risk management, and investment strategies.
