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Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency

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  • Carol Alexander

    (ICMA Centre, University of Reading)

  • Anca Dimitriu

    (ICMA Centre, University of Reading)

Abstract

This paper examines the performance of a general dynamic equity indexing strategy based on cointegration, from a market efficiency perspective. A consistent return in excess of the benchmark is demonstrated over different time horizons and in different, real world and simulated stock markets. A measure of stock price dispersion is shown to be a leading indicator for the excess return, and their relationship is modelled as a Markov switching process of two market regimes. We find that the entire 'abnormal return' is associated with the high volatility regime, so the presence of a latent risk factor cannot be ruled out. Moreover, any market inefficiencies identified by the dynamic indexing model are temporary and occur only in special market circumstances. Our results have implications for equity fund managers: we shown how, without any stock selection, solely through smart optimisation and market timing, the benchmark performance can be significantly enhanced.

Suggested Citation

  • Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, University of Reading.
  • Handle: RePEc:rdg:icmadp:icma-dp2003-02
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    Cited by:

    1. Erie Febrian & Aldrin Herwany, 2009. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Economics and Development Studies (WoPEDS) 200911, Department of Economics, Padjadjaran University, revised Sep 2009.
    2. Lior Sidi, 2020. "Improving S&P stock prediction with time series stock similarity," Papers 2002.05784, arXiv.org.
    3. Febrian, Erie & Herwany, Aldrin, 2007. "Co-integration and Causality Among Jakarta Stock Exchange, Singapore Stock Exchange, and Kuala Lumpur Stock Exchange," MPRA Paper 9632, University Library of Munich, Germany.
    4. Herwany, Aldrin & Febrian, Erie, 2008. "Co-integration and Causality Analysis on Developed Asian Markets For Risk Management & Portfolio Selection," MPRA Paper 10259, University Library of Munich, Germany.

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    More about this item

    Keywords

    cointegration; dispersion; efficient market hypothesis equity markets; index tracking; Markov switching;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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