Lesson 8.3: Manager Evaluation and Selection

Introduction

In this lesson, we will explore the critical components of evaluating investment managers. The objectives are to understand how to distinguish skill from luck in performance, assess the appropriateness of benchmarks, and conduct qualitative and operational due diligence. We will delve into how to evaluate a manager's track record for evidence of skill and the importance of investment style in manager evaluation.

Objectives:

• Evaluate investment managers and distinguish skill from luck.
• Analyze style and benchmark appropriateness.
• Conduct qualitative and operational due diligence.
• Evaluate a manager's track record for evidence of skill.
• Assess benchmark appropriateness and investment style.

Evaluating Investment Managers

Evaluating an investment manager involves assessing their performance over time and determining whether the results are attributable to skill or simply luck. This can be done using various performance metrics and tools.

Understanding Skill vs. Luck

The key challenge in evaluating investment managers is distinguishing whether their performance is due to their skill in making investment decisions or if it is a result of chance. Understanding the concepts of risk and return is fundamental here. An investment manager may achieve high returns, but we must analyze whether these returns are consistent over time and across different market conditions.

Example:

Consider two managers, A and B. Manager A has a great track record over five years, achieving an annualized return of 15%. Manager B has a lower annualized return of 12%, but their performance has remained consistent across different economic cycles. To determine which manager has demonstrated skill, we would analyze performance during different market conditions, use various statistical tools such as the Sharpe ratio, which is defined as:

$$\text{Sharpe Ratio} = \frac{R_p - R_f}{\sigma_p}$$

where:

• $R_p$ is the return of the portfolio,
• $R_f$ is the risk-free rate,
• $\sigma_p$ is the standard deviation of the portfolio's excess return.

A higher Sharpe ratio indicates a better risk-adjusted return. Hence, a consistently high Sharpe ratio is often indicative of skill.

Performance Attribution

Performance attribution provides a framework to analyze the sources of portfolio returns. This process determines how much of a manager's performance can be attributed to market movements versus the skill of the manager in making individual investment decisions.

Types of Attribution

1. Allocation Effect: Measures the impact of the manager's decision to allocate capital among different asset classes (e.g., equities vs. bonds).
2. Selection Effect: Measures the effectiveness of selecting specific securities within each asset class.

Example:

Assume a simple portfolio consisting of investments in stocks and bonds. If the market for stocks rises by 10% and the manager's stock selections outperform the market by 5%, the selection effect contributes positively, while a poor allocation might indicate that the overall mix of assets did not capitalize on the market's performance.

Style Analysis and Benchmark Appropriateness

Style analysis is crucial for determining whether a manager's investment choices align with their stated investment style. Investment styles can include growth, value, or blend. An appropriate benchmark is fundamental as it serves as a point of comparison for the manager's performance.

Tools for Style Analysis

One popular method for analyzing style is regression analysis. By regressing the returns of the investment manager against the returns of different style indices, we can identify the manager’s true investment style.

Example:

If a manager's portfolio returns are regressed against indices such as the Russell 1000 Growth and the Russell 1000 Value, we can find the weights of influence each index has on the manager's performance. If the manager has a strong positive coefficient with the growth index and a negative one with the value index, we can conclude that their style is growth-oriented.

Qualitative and Operational Due Diligence

While quantitative measures are vital, qualitative assessment should not be overlooked. Qualitative due diligence examines aspects such as the manager's investment philosophy, organizational structure, and the team’s experience and stability. Operational due diligence includes assessing back-office functions, compliance, and risk management practices.

Importance of Due Diligence

Conducting comprehensive due diligence helps investors understand whether a manager has the resources and processes to execute their strategies effectively over time. Skilled managers might have an exceptional performance record, but inefficiencies in operations can lead to failure in delivering those results in the long run.

Conclusion

In this lesson, we have examined the critical elements in evaluating investment managers and distinguishing skill from luck. We discussed performance attribution, style analysis, the appropriateness of benchmarks, and the importance of qualitative and operational due diligence. As students applies these skills, they will better navigate the complexities of manager evaluation in financial markets.

Study Notes

• Skill should be distinguished from luck in performance evaluations.
• Performance attribution can reveal the sources of return: allocation vs. selection effects.
• Style analysis uses regression models to determine a manager's investment style.
• Appropriate benchmarks are essential for fair performance comparisons.
• Conducting qualitative and operational due diligence is necessary for thorough manager assessments.