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What Is Attribution Analysis?


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    Highlights

  • Attribution analysis identifies sources of excess returns by evaluating a manager's investment picks, asset allocation, and market timing
  • Returns-based style analysis, introduced by Bill Sharpe, helps determine appropriate benchmarks by charting a fund's returns
  • The method measures alpha by subtracting contributions from sector selection and timing to isolate stock-picking skill
  • Market timing is often seen as less significant due to its randomness and difficulty in quantification
Table of Contents

What Is Attribution Analysis?

Let me explain what attribution analysis is—it's a way to evaluate a portfolio's performance by looking at the manager's investment choices, style, and market timing. You might hear it called return or performance attribution, and it pinpoints where excess returns come from compared to benchmarks. This approach is essential for portfolio managers and investors like you to understand how effective their strategies really are.

In essence, attribution analysis breaks down a fund manager's performance by analyzing their investment choices, asset allocation, and market timing against benchmarks. It focuses on three main factors: the specific investments chosen, the asset allocation strategies, and the timing of decisions and trades. Identifying asset classes and allocating portfolio weights are key to setting up benchmarks for measuring performance. Returns-based style analysis, which Bill Sharpe introduced, evaluates a portfolio's returns to find the most relevant benchmarks. Remember, market timing is often viewed as less critical than asset selection and investment style, due to its challenges in measurement and potential randomness.

Understanding the Mechanics of Attribution Analysis

Attribution analysis zeroes in on three factors: the manager's investment picks and asset allocation, their investment style, and the market timing of their decisions and trades. It starts by identifying the asset class where a fund manager invests. An asset class describes the type of investments, and it can get specific, like a geographical market or industry sector—think European fixed-income debt or U.S. technology equities.

Next, consider the allocation— that's the percentage of the portfolio weighted to specific segments, sectors, or industries. Specifying these asset types helps you identify a general benchmark, often a market index of similar assets, for performance comparison.

Fast Fact

Market indexes can be broad, like the S&P 500 or Nasdaq Composite covering a range of stocks, or specific, focusing on areas like real estate investment trusts or corporate high-yield bonds.

Dissecting Investment Styles in Attribution Analysis

The next step is determining the manager's investment style, which provides a benchmark to gauge their performance, just like asset class identification. One method looks at the nature of the holdings—if they're equities, are they large-cap or small-cap? Value-oriented or growth-oriented?

The second type is returns-based style analysis (RBSA), introduced by American economist Bill Sharpe in 1988. It charts a fund's returns and finds an index with a comparable performance history. Sharpe refined this with quadratic optimization, allowing assignment of a blend of indices that correlate most closely to the manager's returns.

Unveiling Alpha: Measuring Excess Returns

Once you identify this blend, you can create a customized benchmark to evaluate the manager's performance, highlighting the excess returns, or alpha, achieved over the benchmarks. The next part explains that alpha—is it from stock picks, sector selection, or market timing? To find the alpha from stock picks, subtract the portions attributable to sector and timing. You do this by developing customized benchmarks based on the manager's sector blend and trade timing. If the fund's alpha is 13%, you can assign parts of that to sector selection and timing, leaving the rest as stock selection alpha.

Assessing Market Timing: Its Role in Attribution Analysis

While some managers stick to buy-and-hold, most trade frequently, making regular buy and sell decisions. Segmenting returns by activity shows if those decisions helped or hurt compared to a passive approach. Market timing is a key factor in attribution analysis, but its importance is debated.

This is the hardest part to quantify. To measure it, compare the manager's returns against benchmarks that reflect market upturns and downturns. Ideally, the fund rises in bull markets and falls less in bear markets. Even so, some performance from timing is random or luck, so analysts generally give less weight to market timing than to asset selection and investment style.

The Bottom Line

Attribution analysis is a crucial tool for investors and portfolio managers like you. It provides a detailed evaluation of a fund manager's performance, assessing investment style, asset allocation, and market timing. By understanding these, you can better gauge a manager's ability to generate alpha over benchmarks. Asset selection and style are key, while market timing is tougher to quantify. Overall, this analysis helps you make more informed decisions.

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