BENCHMARK EXPOSURE AND TRACKING ERROR MINIMIZATION

Expected portfolio return maximization under the mean-variance framework or other risk measure minimization are examples of active investment strategies, that is, strategies that identify a universe of attractive investments, and ignore inferior investments opportunities. A different approach, referred to as a passive investment strategy, argues that in the absence of any superior forecasting ability, investors might as well resign themselves to the fact that they cannot beat the market. From a theoretical perspective, the analytics of portfolio theory tell them to hold a broadly diversified portfolio anyway. Many mutual funds are managed relative to a particular benchmark or stock universe, such as the S&P 500 or the Russell 1000. The portfolio allocation models are then formulated in such a way that the tracking error relative to the benchmark is kept small.

Standard Definition of Tracking Error

To incorporate a passive investment strategy, we can change the objective function of the portfolio allocation problem so that instead of minimizing a portfolio risk measure, we minimize the tracking error with respect to a benchmark that represents the market, such as the Russell 3000, or the S&P 500. Such strategies are often referred to as indexing. The tracking error can be defined in different ways. However, practitioners typically mean a specific definition: the variance (or standard deviation) of the difference between the portfolio ...

Get Equity Valuation and Portfolio Management now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.