Enterprising Investor Podcast Summary
Episode: Clare Flynn Levy: Measuring Decision-Making Skill in Investing
Host: Mike Wahlberg
Guest: Clare Flynn Levy, Founder and CEO of Essentia Analytics
Release Date: November 1, 2024

Introduction

In this episode of Enterprising Investor, the flagship podcast of the CFA Institute, host Mike Wahlberg engages in a profound discussion with Clare Flynn Levy, the founder and CEO of Essentia Analytics. Essentia Analytics specializes in behavioral analytics for professional investors and capital allocators. The focal point of their conversation revolves around Essentia's innovative tool—the Behavioral Alpha Score—and its implications for measuring and enhancing decision-making skills in investment management.

Understanding the Behavioral Alpha Score

Defining Behavioral Alpha

Clare Flynn Levy introduces the Behavioral Alpha Score as a pioneering metric designed to quantify an investor's decision-making prowess. Drawing from her decade-long journey as an active equity fund manager, Clare sought a systematic way to analyze and improve her own investment decisions. This endeavor culminated in the creation of the Behavioral Alpha Score.

"It is a measure of decision making skill. We call it behavioral alpha because in this day and age, alpha is very hard to come by harder than ever... you can generate sustainable alpha by making better decisions than other people make because humans are biased and flawed."
— Clare Flynn Levy [01:17]

The Genesis of Behavioral Alpha

Clare emphasizes that traditional sources of alpha, such as superior information or exceptional intelligence, are no longer reliable or sustainable. Instead, the Behavioral Alpha Score focuses on enhancing decision-making processes to achieve consistent outperformance.

Study Findings: Behavioral Alpha and Performance

Research Objective

Clare and her team conducted a white paper study to investigate whether the Behavioral Alpha Score could predict investment performance better than past performance alone.

Methodology

• Data Analyzed: 123 unique long-only equity portfolios.
• Time Frame: Daily holdings data from 2013 to 2023, encompassing 532 portfolio years.
• Primary Question: Is the Behavioral Alpha Score predictive of future performance?

Key Findings

1. Past Performance Non-Predictive:
   The study confirmed that past performance does not predict future performance. This aligns with traditional financial wisdom and serves as a foundational validation for introducing new predictive metrics.

   "Past performance was not predictive of future performance."
   — Clare Flynn Levy [03:51]

2. Behavioral Alpha Predictive Within the Same Year:
   The Behavioral Alpha Score showed a predictive relationship with performance within the same year. Managers scoring above 50 were more likely to outperform their benchmarks within that year.

   "Managers with scores over 50 were one and a half times as likely to outperform their own benchmark in the subsequent year as managers with score under 50."
   — Clare Flynn Levy [05:00]

Implications

While the score's predictive power within a single year is valuable, Делare highlights the potential for broader applications, suggesting future research could explore longer-term predictability.

Enhancing Traditional Models: Explanatory Power of Behavioral Alpha

Integration with Factor Models

Clare discusses how the Behavioral Alpha Score complements traditional factor models like the Fama-French five-factor and three-factor models. The score adds explanatory value to these established frameworks, providing a more comprehensive understanding of a manager's ability to generate alpha through decision-making.

"What we're saying is this actually can quantify some portion of that alpha piece so you can hone in that much better."
— Clare Flynn Levy [08:10]

Fund Manager Execution

Clare underscores that while stock selection is a critical component, the execution of these selections—how decisions are made and implemented—is equally vital. The Behavioral Alpha Score aims to quantify and improve this execution aspect, often categorized under the elusive "alpha."

Decomposing Investment Decisions

Seven Decision Types

Essentia Analytics breaks down an investment episode into seven distinct decision types to assess decision-making skills thoroughly:

1. Picking Decisions:
   Evaluates the difference between holding a specific stock versus holding the index.

2. Sizing Decisions:
   Assesses how the portfolio weight deviates from an equally weighted benchmark.

3. Entry Timing Decisions:
   Analyzes the timing of initial stock purchases and their efficacy over a one-month window.

4. Scaling In:
   Looks at the speed and efficiency of building a position after an initial entry.

5. Exit Timing:
   Examines when a manager decides to sell a position and the effectiveness of that timing.

6. Scaling Out:
   Evaluates the process and strategy behind reducing a position size.

7. Size Adjusting:
   Involves adding or trimming positions and assessing the value added through these adjustments.

Evaluating Decisions

Each decision type is tested to determine if it adds value compared to a baseline scenario, such as holding an equally weighted portfolio or following an average daily close strategy.

"It's about is this person adding value or destroying value? You know, if you want to look at did they pick the right stocks... is that actually adding value?"
— Clare Flynn Levy [17:00]

Equal Weighting in Scoring

All seven decision types are equally weighted in calculating the Behavioral Alpha Score. This approach ensures a balanced assessment, regardless of a manager's specific strategy or decision-making frequency.

Accounting for Liquidity Constraints

Challenges in Scaling Decisions

Clare addresses the potential impact of liquidity constraints on scaling decisions. Larger managers might face challenges in scaling in and out due to the size of their positions and market liquidity.

Empirical Findings

Contrary to common assumptions, the study found that poor exit timing and scaling out were not predominantly caused by liquidity issues. Instead, these pitfalls often stemmed from behavioral biases like loss aversion.

"Portfolio managers with scores under 50, and that maps to loss aversion behavior... that's where you'll get the most."
— Clare Flynn Levy [14:24]

Behavioral Biases Over Liquidity

Clare emphasizes that behavioral factors, such as emotional attachments to stocks or hesitancy to admit errors, play a more significant role in poor decision-making than liquidity constraints.

Applications for Fund Selection

Current Usage Among Allocators

Currently, the Behavioral Alpha Score is primarily utilized by institutional investors managing segregated accounts with access to daily holdings data. These allocators incorporate the score into their manager selection and ongoing monitoring processes.

Path to Mainstream Adoption

Clare reveals Essentia’s ambition to scale the Behavioral Alpha Score across all market segments, including broader audiences lacking access to daily holdings data. Upcoming partnerships aim to integrate monthly holdings data from active ETFs, making the score accessible to a wider range of investors.

"Our goal with this is to make it mainstream and to make the behavioral alpha score something that everybody looks at, just like you look at past performance."
— Clare Flynn Levy [19:36]

Implications for Managers

As data transparency increases, managers must adapt to the enhanced scrutiny of their decision-making processes. A good Behavioral Alpha Score can serve as a testament to a manager’s skill, while a poor score necessitates strategic improvements.

Enhancing Transparency Through Data Availability

Rise of Active ETFs

The proliferation of active ETFs publishing daily holdings significantly improves data accessibility. Essentia can now analyze data from over 200 ETFs, facilitating the Behavioral Alpha Score’s application without relying solely on private data sources.

"If you're the manager, you need to be able to explain yourself one way or the other and brag about yourself if your score is really good."
— Clare Flynn Levy [21:34]

Future Prospects

Clare anticipates that as Behavioral Alpha Scores become more widespread, they will become a standard metric alongside traditional performance indicators, fostering greater transparency and accountability in investment management.

Personal Insights and Closing Thoughts

Clare’s Industry Journey

Clare shares a personal anecdote about her first job in the industry, emphasizing the value of record-keeping and data analysis from the outset of one’s career.

"I wish I had kept better records... capturing more data about what I was thinking and doing."
— Clare Flynn Levy [23:40]

Advice to Aspiring Investors

Her key piece of advice to those entering the investment field is to maintain meticulous records of their investment decisions and thought processes. This practice not only aids personal growth but also provides valuable data for future analysis and improvement.

"Do it in a structured data format that you can then analyze and not letting that data go."
— Clare Flynn Levy [23:40]

Conclusion

Clare Flynn Levy's insights into the Behavioral Alpha Score offer a groundbreaking approach to quantifying and enhancing investment decision-making skills. By systematically analyzing seven critical decision types, Essentia Analytics provides a robust tool for managers and allocators to assess and improve performance beyond traditional metrics. As data transparency increases with the rise of active ETFs, the Behavioral Alpha Score is poised to become an essential component of investment management, fostering a more disciplined and analytically driven industry.

For more information, listeners are encouraged to explore Essentia Analytics' resources, including their white paper "Actions Speak Louder Than Past Performance," available on Essentia’s website and SSRN.

Notable Quotes:

• Clare Flynn Levy [01:17]: "It is a measure of decision making skill. We call it behavioral alpha because in this day and age, alpha is very hard to come by harder than ever..."

• Clare Flynn Levy [03:51]: "Past performance was not predictive of future performance."

• Clare Flynn Levy [08:10]: "What we're saying is this actually can quantify some portion of that alpha piece so you can hone in that much better."

• Clare Flynn Levy [14:24]: "Portfolio managers with scores under 50, and that maps to loss aversion behavior..."

• Clare Flynn Levy [19:36]: "Our goal with this is to make it mainstream and to make the behavioral alpha score something that everybody looks at, just like you look at past performance."

• Clare Flynn Levy [21:34]: "If you're the manager, you need to be able to explain yourself one way or the other and brag about yourself if your score is really good."

• Clare Flynn Levy [23:40]: "I wish I had kept better records... capturing more data about what I was thinking and doing."

This comprehensive summary captures the essence of Clare Flynn Levy’s expertise and the innovative approach Essentia Analytics brings to the investment management industry through the Behavioral Alpha Score.