Short-run deviations and optimal hedge ratio: evidence from stock futures

2003 ◽  
Vol 13 (2) ◽  
pp. 171-192 ◽  
Author(s):  
Taufiq Choudhry
Keyword(s):  
2012 ◽  
Vol 07 (02) ◽  
pp. 1250008 ◽  
Author(s):  
DONALD LIEN ◽  
KESHAB SHRESTHA

In this paper, we analytically derive the adjustments needed for the conventional hedge ratio due to the presence of short-run and long-run dynamics. We also analytically show the performance impact of these dynamics. We apply the method discussed in the paper to eight different stock index futures contracts from seven different countries. It is found that the short-run dynamics has no effect whereas the long-run dynamics may produce significant effects on the optimal hedge ratio and the hedging performance.


2019 ◽  
Vol 118 (3) ◽  
pp. 137-152
Author(s):  
A. Shanthi ◽  
R. Thamilselvan

The major objective of the study is to examine the performance of optimal hedge ratio and hedging effectiveness in stock futures market in National Stock Exchange, India by estimating the following econometric models like Ordinary Least Square (OLS), Vector Error Correction Model (VECM) and time varying Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH) model by evaluating in sample observation and out of sample observations for the period spanning from 1st January 2011 till 31st March 2018 by accommodating sixteen stock futures retrieved through www.nseindia.com by considering banking sector of Indian economy. The findings of the study indicate both the in sample and out of sample hedging performances suggest the various strategies obtained through the time varying optimal hedge ratio, which minimizes the conditional variance performs better than the employed alterative models for most of the underlying stock futures contracts in select banking sectors in India. Moreover, the study also envisage about the model selection criteria is most important for appropriate hedge ratio through risk averse investors. Finally, the research work is also in line with the previous attempts Myers (1991), Baillie and Myers (1991) and Park and Switzer (1995a, 1995b) made in the US markets


Author(s):  
Michal Černý ◽  
Jan Pelikán

Companies producing, processing and consuming commodities in the production process often hedge their commodity expositions using derivative strategies based on different, highly correlated underlying commodities. Once the open position in a commodity is hedged using a derivative position with another underlying commodity, the appropriate hedge ratio must be determined in order the hedge relationship be as effective as possible. However, it is questionable whether the hedge ratio determined at the inception of the risk management strategy remains stable over the whole period for which the hedging strategy exists. Usually it is assumed that in the short run, the relationship (say, correlation) between the two commodities remains stable, while in the long run it may vary. We propose a method, based on statistical theory of stability, for on-line detection whether market movements of prices of the commodities involved in the hedge relationship indicate that the hedge ratio may have been subject to a recent change. The change in the hedge ratio decreases the effectiveness of the original hedge relationship and creates a new open position. The method proposed should inform the risk manager that it could be reasonable to adjust the derivative strategy in a way reflecting the market conditions after the change in the hedge ratio.


2008 ◽  
Vol 1 (1) ◽  
pp. 41-76 ◽  
Author(s):  
Michaël Dewally ◽  
Luke Marriott
Keyword(s):  

2008 ◽  
Vol 59 (1) ◽  
Author(s):  
Udo Broll ◽  
Jack E. Wahl

SummaryThe aim of this study is to analyze the importance of the elasticity of risk aversion with regard to an increase in exchange rate risk for exports and hedging in an international firm. Mean-variance preferences allow for an immediate study of the entailed substitution and income effect. These effects may cancel out, that is to say, the optimal hedge ratio remains unchanged although the exchange rate risk increases. The elasticity of risk aversion provides an unambiguous answer to the question how to measure such risk effect.


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