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Dynamic hedge ratio for stock index futures: application of threshold VECM

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  • Ming-Yuan Leon Li

Abstract

This study represents one of the first papers in stock-index-futures arbitrage literature to investigate the effects of arbitrage threshold on stock index futures hedging effectiveness by using threshold vector error correction model (hereafter threshold VECM). Moreover, in contrast to prior studies focusing on examining case studies involving mature stock markets, this study not only adopts US S&P 500 stock market as the sample but also adds an analysis of one emerging stock market, Hungarian BSI and examines the differences between them. Finally, this investigation employs a rolling estimation process to examine the impact of arbitrage threshold behaviours on the setting of futures hedging ratio. The empirical findings of this study are consistent with the following notions. First, arbitrage behaviour reduces co-movement between futures and spot markets and increases the volatility of both futures and spot markets. Second, this article denotes the outer regime of futures-spot market for the case of Hungarian BSI (US S&P 500) as a crisis (an unusual) condition. Moreover, arbitrage threshold behaviours make remarkable (unremarkable) shift on optimal hedge ratio between two different market regimes for the case of Hungarian BSI (US S&P 500). Finally, the framework involving regime-varying hedge ratio designed in this study provides a more efficient futures hedge ratio design for Hungarian BSI stock market, but not for US S&P 500 stock market.

Suggested Citation

  • Ming-Yuan Leon Li, 2010. "Dynamic hedge ratio for stock index futures: application of threshold VECM," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1403-1417.
  • Handle: RePEc:taf:applec:v:42:y:2010:i:11:p:1403-1417
    DOI: 10.1080/00036840701721380
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    Cited by:

    1. Nick, Sebastian, 2013. "Price Formation and Intertemporal Arbitrage within a Low-Liquidity Framework: Empirical Evidence from European Natural Gas Markets," EWI Working Papers 2013-14, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Ming-Yuan Leon Li & Chun-Nan Chen, 2010. "Examining the interrelation dynamics between option and stock markets using the Markov-switching vector error correction model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(7), pages 1173-1191.
    3. Sebastian Nick, 2016. "The Informational Efficiency of European Natural Gas Hubs: Price Formation and Intertemporal Arbitrage," The Energy Journal, , vol. 37(2), pages 1-30, April.
    4. Ming-Yuan Leon Li & Shang-En Shine Yu, 2011. "Do large firms overly use stock-based incentive compensation?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1591-1606, July.

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