Which of the following best describes factor analysis (FA)?

• A. A technique to measure asset returns over time
• B. A statistical method for identifying factors and their coefficients
• C. A predictive model for stock price movements
• D. A method for portfolio diversification

Answer: (B)

Factor analysis is best described as a statistical method for identifying factors and their coefficients. This technique is widely used in finance and investment analysis to uncover the underlying relationships within observed variables. In the context of finance, it involves assessing how various factors influence the returns of an asset or a portfolio. The objective of factor analysis is to reduce the number of variables and identify common underlying factors that explain the patterns observed in asset behavior.

By identifying these factors and determining their coefficients, analysts can better understand how certain economic indicators or market shifts might impact investment returns. This method can reveal both systematic and unsystematic risk factors, which can then be used for better risk management and investment decisions. Understanding these relationships is crucial for developing models that can efficiently explain and predict returns based on those identified factors.

The other options describe different concepts that do not capture the essence of factor analysis as distinctly. For instance, measuring asset returns over time relates more to performance measurement than identifying underlying factors. Similarly, while predictive models for stock price movements may utilize insights from factor analysis, they do not specifically describe the process of identifying factors. Lastly, portfolio diversification pertains to risk reduction through holding a variety of investments, rather than the methodical identification of factors influencing returns.