Post by Sapphire Capital on Aug 21, 2008 23:10:26 GMT 4
Hedging Effectiveness of Constant and Time Varying Hedge Ratio in Indian Stock and Commodity Futures Markets
Brajesh Kumar
IIM Ahmedabad
Priyanka Singh
IIM Ahmedabad
Ajay Pandey
IIM Ahmedabad
August 6, 2008
Abstract:
This paper examines hedging effectiveness of futures contract on a financial asset and commodities in Indian markets. In an emerging market context like India, the growth of capital and commodity futures market would depend on effectiveness of derivatives in managing risk. For managing risk, understanding optimal hedge ratio is critical for devising effective hedging strategy. We estimate dynamic and constant hedge ratio for S&P CNX Nifty index futures, Gold futures and Soybean futures. Various models (OLS, VAR, and VECM) are used to estimate constant hedge ratio. To estimate dynamic hedge ratios, we use VAR-MGARCH. We compare in-sample and out-of-sample performance of these models in reducing portfolio risk. It is found that in most of the cases, VAR-MGARCH model estimates of time varying hedge ratio provide highest variance reduction as compared to hedges based on constant hedge ratio. Our results are consistent with findings of Myers (1991), Baillie and Myers (1991), Park and Switzer (1995a,b), Lypny and Powella (1998), Kavussanos and Nomikos (2000), Yang (2001), and Floros and Vougas (2006).
papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1209842_code793726.pdf?abstractid=1206555&mirid=4
Brajesh Kumar
IIM Ahmedabad
Priyanka Singh
IIM Ahmedabad
Ajay Pandey
IIM Ahmedabad
August 6, 2008
Abstract:
This paper examines hedging effectiveness of futures contract on a financial asset and commodities in Indian markets. In an emerging market context like India, the growth of capital and commodity futures market would depend on effectiveness of derivatives in managing risk. For managing risk, understanding optimal hedge ratio is critical for devising effective hedging strategy. We estimate dynamic and constant hedge ratio for S&P CNX Nifty index futures, Gold futures and Soybean futures. Various models (OLS, VAR, and VECM) are used to estimate constant hedge ratio. To estimate dynamic hedge ratios, we use VAR-MGARCH. We compare in-sample and out-of-sample performance of these models in reducing portfolio risk. It is found that in most of the cases, VAR-MGARCH model estimates of time varying hedge ratio provide highest variance reduction as compared to hedges based on constant hedge ratio. Our results are consistent with findings of Myers (1991), Baillie and Myers (1991), Park and Switzer (1995a,b), Lypny and Powella (1998), Kavussanos and Nomikos (2000), Yang (2001), and Floros and Vougas (2006).
papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1209842_code793726.pdf?abstractid=1206555&mirid=4