Indexing and statistical arbitrage

Alexander, Carol and Dimitriu, Anca (2005) Indexing and statistical arbitrage. Journal of Portfolio Management, 31 (2). pp. 50-63. ISSN 0095-4918

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Abstract

There are two basic methodologies for portfolio optimization: tracking error variance (TEV) minimization (the industry standard for indexing), and a cointegration–optimal strategy (advocated by econometricians). Cointegration is a statistical tool that seeks to exploit a long–run equilibrium relationship between a portfolio and a benchmark, ensuring that the two are connected in the long term. For simple index tracking, the additional feature of cointegration is found to provide no clear advantages or disadvantages over TEV. Both models produce optimal portfolios that outperform a price–weighted benchmark during market crashes, assuming a long enough model calibration period. When tracking becomes more difficult, ensuring a cointegration relationship enhances performance. Cointegration–optimal portfolios dominate TEV equivalents for all the statistical arbitrage strategies based on enhanced indexation in all market circumstances.

Item Type: Article
Schools and Departments: School of Business, Management and Economics > Business and Management
Subjects: H Social Sciences > HG Finance
Depositing User: Carol Alexander
Date Deposited: 26 Sep 2012 11:20
Last Modified: 26 Sep 2012 11:20
URI: http://sro.sussex.ac.uk/id/eprint/40602
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