Abstract
This article provides an assessment of the comparative effectiveness of four econometric methods in estimating the optimal hedge ratio in an emerging equity market, particularly the South African equity and futures markets. The article bases the effectiveness of hedging on volatility reduction and minimization of the coefficient of variation of hedged returns as well as risk-aversion-based utility maximization. The empirical analysis shows that the vector error-correction method and multivariate generalized autoregressive conditional heteroscedasticity methods are most effective over relatively long horizon, weekly and monthly hedging periods.
Original language | English |
---|---|
Pages (from-to) | 3999-4018 |
Number of pages | 20 |
Journal | Applied Economics |
Volume | 48 |
Issue number | 42 |
DOIs | |
Publication status | Published - 7 Sept 2016 |
Keywords
- Emerging markets
- Generalized Autoregressive Conditional Heteroscedasticity (GARCH)
- South Africa
- index futures hedging
- optimal hedge ratio
- vector autoregression
- vector error-correction
ASJC Scopus subject areas
- Economics and Econometrics