Abstract

Based on the work of Brandt, Santa-Clara and Valkanov (2009), we formulate an index tracking and enhanced indexation model using a parametric approach. The portfolio weights are modeled as functions of assets characteristics and similarity measures of the assets with the index to track. This approach permits to handle non-linear and non-convex objectives functions that are common in index tracking and enhanced indexation. An empirical implementation and analysis of the characteristics are presented for the S&P500 index.

Highlights

  • Index tracking is a type of passive management strategy which consists of designing a portfolio to replicate the behavior of a broad market index

  • We propose a parametric approach for index tracking and enhanced indexation based on the work of Brandt, Santa-Clara, and Valkanov (2009)

  • Even though there are multiple approaches for rebalancing a tracking portfolio, we only describe two general cases which can be handled by the parametric approach

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Summary

Introduction

Index tracking is a type of passive management strategy which consists of designing a portfolio (tracking portfolio or index fund) to replicate the behavior of a broad market index. The objective in the enhanced indexation problem is to maximize alpha while the beta of the portfolio remains close to one, or to maximize excess return (over the index) by keeping the tracking error bounded to some quantity. Our objective function decomposes (approximately) the variance of the tracking error or the portfolio beta into the correlation coefficient of the portfolio and the index and the ratio of their standard deviations. We can analyze how these strategies change according to the importance given to the tracking or enhanced components of the objective These features give the investor more information about the portfolio holdings than typical approaches in the literature. We implement the parametric approach to build a tracking or enhanced tracking portfolio for the S&P500 index, using as characteristics market capitalization, alpha and beta of the individual stocks.

Literature review
The enhanced indexation problem
Parametric approach for enhanced indexation
Upper and lower bounds on portfolio weights
Transaction costs and turnover
Selection of appropriate characteristics
Objective
Optimizing with three characteristics
Transaction costs
Conclusions and final remarks
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