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Gauging Liquidity Risk in Emerging Market Bond Index Funds

Author

Listed:
  • Serge Darolles

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

  • Jérémy Dudek
  • Gaëlle Le Fol

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

ETFs and index funds have grown at very rapid rates in recent years. Originally launched totrack some large liquid indices in developed markets, they now also concern less liquid assetclasses such as emerging market bonds. Illiquidity certainly affects the quality of the replication,and in particular, liquidity might increase the tracking error of any index fund, i.e., thedifference between the fund and the benchmark returns. The tracking error is then the firstcharacteristic that investors consider when they select index funds. In this paper, we beginfrom the CDS-bond basis to simulate the tracking error (TE) of a hypothetical well-diversifiedfund investing in the emerging market bond universe. We compute the CDS-bond basis andthe tracking error for 9 emerging market sovereign entities: Brazil, Chile, Hungary, Mexico,Poland, Russia, South Africa, Thailand and Turkey. All of these countries are included inthe MSCI Emerging Market Debt in Local Currency index. Our sample period ranges fromJanuary 1, 2007 to March 26, 2012. Using a Regime Switching for Dynamic Correlations(RSDC) model, we show that the country-by-country tracking error is reduced by the diversificationat the fund level. Moreover, we show that this diversification effect is less effectiveduring crisis periods. This loss of diversification benefits is the main risk of index funds when they are designed to create a liquid exposure to illiquid asset classes

Suggested Citation

  • Serge Darolles & Jérémy Dudek & Gaëlle Le Fol, 2016. "Gauging Liquidity Risk in Emerging Market Bond Index Funds," Post-Print hal-01500712, HAL.
    • Handle: RePEc:hal:journl:hal-01500712
    DOI: 10.15609/annaeconstat2009.123-124.0247
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    Keywords

    Emerging Markets; Sovereign Debt Market; Liquidity Risk Management; Dynamic Correlation; Regime Switching Models Index funds; Bond markets; Liquidity; Liquidity risk; Economic statistics; Correlations; Portfolio diversification; Investment risk; Liquids;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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