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Enhanced indexing using weighted conditional value at risk

  • Ruchika SehgalEmail author
  • Aparna Mehra
Original Research
  • 76 Downloads

Abstract

We propose an enhanced indexing portfolio optimization model that not only seeks to maximize the excess returns over and above the benchmark index but simultaneously control the risk by introducing a constraint on the weighted conditional value at risk (WCVaR) of the portfolio. The constraint in the proposed model can be seen as hedging the risk described by WCVaR of the portfolio. To carry out a comparative analysis of the proposed model, we also suggest an enhanced indexing CVaR model. We analyze the performance of the proposed model at various risk levels on eight publicly available financial data sets from Beasley OR library, and S&P 500, S&P BSE 500, NASDAQ composite, FTSE 100 index, and their constituents, for average returns, Sharpe ratio, and upside potential ratio. Empirical analysis exhibits superior performance of the portfolios from the proposed WCVaR model over the respective benchmark indices and additionally the optimal portfolios obtained from various other enhanced indexing models that exist in the literature. Furthermore, we present evidence of better performance of WCVaR model over the CVaR model for long-term investment horizons.

Keywords

Enhanced indexing Conditional value at risk Weighted conditional value at risk Gini mean difference Sharpe ratio Upside potential ratio 

Notes

Acknowledgements

The authors are profoundly thankful to the Editor-in-Chief and the esteemed referees for their valuable comments and suggestions.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of MathematicsIndian Institute of Technology DelhiHauz Khas, New DelhiIndia

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