Join us for the 2024 State Street Summer Sessions Webinar Series
Time to review the fundamentals of finance and investing! Even the most sophisticated investors can benefit from an occasional tune up. Join us for our 4th annual State Street Summer Sessions, where our team of academic and industry experts will go back to basics and cover the core principles of modern investing. Connecting theory to practice, our presenters will cover topics including inflation, liquidity, and private markets into context. We have plenty of new sessions this year, in addition to the most popular sessions from last year. You can register for specific seminars or join us for them all. So close your email, silence your phone, and prepare some good questions. We’ll see you there!
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|REGISTER NOW
The past few years have highlighted asea 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|REGISTER NOW
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|REGISTER NOW
Details forthcoming.
Tuesday, July 16, 2024
10am EST
The Limits of Diversification
Will Kinlaw, Senior Managing Director, Head of Global Markets Research, State Street Global Markets |REGISTER NOW
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
Defining and Measuring Inflation
Alberto Cavallo, Harvard Business School, State Street Associates Academic Partner|REGISTER NOW
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 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 2024.
Tuesday, July 23, 2024
9am EST
Investing in Private Markets
Josh Lerner, Harvard Business School, State Street Associates Academic Partner|REGISTER NOW
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 |REGISTER NOW
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.
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 |REGISTER NOW
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|REGISTER NOW
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 |REGISTER 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 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|REGISTER NOW
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 |REGISTER NOW
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 |REGISTER NOW
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-facetedrole 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.
TBD
Understanding Chinese Policies and Cross Asset Implications
Ben Luk and Yuting Shao, State Street Global Markets Research|REGISTRATION COMING SOON
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.
