Hedge ratios in south african stock index futures

Stavros Degiannakis, Christos Floros

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This article examines hedging in South African stock index futures market. The hedge ratios are estimated by six econometric techniques: the standard OLS regression, simple and vector error correction models, the ECM with generalised autoregressive heteroskedasticity (GARCH), as well as time-varying CCC-ARCH and Diag-BEKK ARCH models. The empirical results show that the ECM-GARCH model (capturing volatility clustering) provides best hedging ratios, while CCC-ARCH is superior to OLS, ECM and VECM. We conclude that there is not a unique model specification for measuring hedge ratios. For each market (emerging and mature), a model's comparative analysis must be conducted in order to extract the best performing model.

    Original languageEnglish
    Pages (from-to)285-304
    Number of pages20
    JournalJournal of Emerging Market Finance
    Volume9
    Issue number3
    DOIs
    Publication statusPublished - Dec 2010

    Keywords

    • ECM
    • futures
    • GARCH
    • hedge ratio
    • Hedging
    • OLS
    • SAFEX
    • VECM

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