Aurora Borealis
1 July 1997 Financial Analysts Journal Volume 53, Issue 4

Approximating the Confidence Intervals for Sharpe Style Weights

  1. Angelo Lobosco
  2. Dan DiBartolomeo

Style analysis is a form of constrained regression that uses a weighted combination of market indexes to replicate, as closely as possible, the historical return pattern of an investment portfolio. The resulting coefficients, called Sharpe style weights, are used to form inferences about a portfolio's behavior and composition. This technique has been widely adopted in the investment industry, despite the fact that no explicit confidence interval measures have been available to describe the results. We derive an approximation for the confidence intervals of these weights and, using Monte Carlo simulation, verify its efficacy. The estimation of these confidence intervals can help practitioners assess the statistical significance of their results and aids in determining which indexes to include in the analysis. It may also encourage the use of daily return data to meaningfully reduce the size of the confidence intervals.

Read the Complete Article in Financial Analysts Journal Financial Analysts Journal CFA Institute Member Content

We’re using cookies, but you can turn them off in Privacy Settings.  Otherwise, you are agreeing to our use of cookies.  Accepting cookies does not mean that we are collecting personal data. Learn more in our Privacy Policy.