scholarly journals INVESTIGATING THE IMPACT OF HEDGE HORIZON UPON HEDGING EFFECTIVENESS: EVIDENCE FROM NATIONAL STOCK EXCHANGE OF INDIA

2019 ◽  
Vol 18 (2) ◽  
pp. 131
Author(s):  
MANDEEP KAUR ◽  
KAPIL GUPTA
Keyword(s):  
Variance Reduction ◽  
Direct Relationship ◽  
Stock Exchange ◽  
Futures Market ◽  
Futures Contracts ◽  
Risk Averse ◽  
Risk Return ◽  
Hedging Effectiveness ◽  
The Impact ◽  
Reduction Approach

Present study attempts to investigate the impact of hedge horizon upon hedging effectiveness in Indian equity futures market by comparing hedging performance of near, next and far month futures contracts of NIFTY50 index and its 17 composite stocks. Hedging effectiveness has been measured using two approaches, namely, Variance Reduction approach and Risk-Return approach. The study finds that near month futures contracts are most effective when hedge effectiveness is measured using variance reduction approach, whereas, on the other hand, far month futures contracts are found to be most effective using risk-return approach. These results imply that for highly risk-averse investors (concerned with only minimization of risk), near month futures contracts enable effective hedging, whereas for less risk-averse investors (concerned with risk as well as return), far month futures contracts offer superior hedge effectiveness. The study also finds that coefficient of correlation between spot and futures returns is a significant factor affecting variance reduction of returns and bears direct relationship with it.

scholarly journals Impact Of Financial Crisis On Hedging Effectiveness Of Futures Contracts: Evidence From The National Stock Exchange Of India

2015 ◽  
Vol 10 (2) ◽  
pp. 69-88 ◽  
Author(s):  
Kapil Gupta ◽  
Mandeep Kaur
Keyword(s):  
Financial Crisis ◽  
Stock Exchange ◽  
Moving Average ◽  
Futures Contracts ◽  
Conditional Heteroskedasticity ◽  
Vector Autoregressive ◽  
Hedging Effectiveness ◽  
Autoregressive Conditional Heteroskedasticity ◽  
The 2008 Financial Crisis ◽  
The Impact

Abstract The present study examines the impact of the 2008 financial crisis on the hedging effectiveness of three index futures contracts traded on the National Stock Exchange of India for near, next and far month contracts over the sample period of January 2000 – June 2014. The hedge ratios were calculated using eight methods; Naive hedging, Ederington’s Model, Autoregressive Integrated Moving Average, Vector Autoregressive, Vector Error Correction Methodology, Generalized Autoregressive Conditional Heteroskedasticity, Exponential Generalized Autoregressive Conditional Heteroscedasticity and Threshold Generalized Autoregressive Conditional Heteroskedasticity. The study finds an improvement in hedging effectiveness during the post-crisis period, which implies that during the high-volatility period hedging effectiveness also improves. It was also found that near month futures contracts are a more effective tool for hedging as compared to next and far month contracts, which imply that liquidity is a more important determinant of hedging effectiveness than hedge horizons. The study also finds that a time-invariant hedge ratio is more efficient than time-variant hedging. Therefore, knowledge of sophisticated econometrical tools does not help to improve hedge effectiveness.

Optimal Hedge Ratio and Hedging Effectiveness in Stock Futures Market: Evidence from National Stock Exchange, India

2019 ◽  
Vol 118 (3) ◽  
pp. 137-152
Author(s):  
A. Shanthi ◽  
R. Thamilselvan
Keyword(s):  
Banking Sector ◽  
Stock Exchange ◽  
Research Work ◽  
Futures Market ◽  
Least Square ◽  
Time Varying ◽  
Hedge Ratio ◽  
Hedging Effectiveness ◽  
Out Of Sample ◽  
Optimal Hedge

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

Examining the Hedging Effectiveness of Futures Contracts over Pre and Post Financial Crisis Period: Evidence from National Stock Exchange of India

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Kapil Gupta ◽  
Mandeep Kaur
Keyword(s):  
Financial Crisis ◽  
Stock Exchange ◽  
Futures Contracts ◽  
Price Risk ◽  
Hedge Ratio ◽  
Crisis Period ◽  
Hedging Effectiveness ◽  
Hedge Ratios ◽  
Time Invariant

Present study examines the efficiency of futures contracts in hedging unwanted price risk over highly volatile period i.e. June 2000 - December 2007 and January 2008 – June 2014, pre and post-financial crisis period, by using S&PC NXNIFTY, CNXIT and BANKNIFTY for near month futures contracts. The hedge ratios have been estimated by using five methods namely Ederingtons Model, ARMA-OLS, GARCH (p,q), EGARCH (p,q) and TGARCH (p,q). The study finds that hedging effectiveness increased during post crisis period for S&PC NXNIFTY and BANKNIFTY. However, for CNXIT hedging effectiveness was better during pre-crisis period than post crisis. The study also finds that time-invariant hedge ratio is more efficient than time-variant hedge ratio.

scholarly journals Heterogeneity of Cash Markets at Physical Delivery Points and the Hedging Effectiveness of Agricultural Commodity Futures in India – Lessons for Contract Optimization.

2020 ◽  
Vol 9 (SI) ◽  
pp. 79-89
Author(s):  
Sanjay Mansabdar ◽  
Hussain C Yaganti
Keyword(s):  
Contract Design ◽  
Commodity Futures ◽  
Futures Contracts ◽  
Agricultural Commodity ◽  
Futures Contract ◽  
Hedging Effectiveness ◽  
Several Variables ◽  
Agricultural Futures ◽  
Delivery Options ◽  
The Impact

Agricultural commodity futures in India are settled by physical delivery and the seller can choose the location of delivery from a list described in the contract specifications. Cash markets at these locations represent the deliverable basket for the futures contract and are the underlying assets for the delivery options granted to the seller by virtue of contract design.  These cash markets are generally heterogenous. This paper studies the impact of heterogeneity of the underlying cash markets in different locations on the hedging effectiveness of the associated futures contract. The hedging effectiveness of cottonseed oilcake and soybean futures is regressed against several variables that represent heterogeneity of the underlying cash markets using ridge regression. We find that in general, the greater the heterogeneity, the poorer the hedging effectiveness of the contract. This paper is unique in that it provides a framework for guidance for contract designers at exchanges and regulators who will find this research useful in optimizing delivery specifications for agricultural futures contracts.  This is especially important given the declining volumes in Indian agricultural commodity futures.

scholarly journals Stochastic Dominance Analysis of Futures and Option Strategies for Hedging Feeder Cattle

1998 ◽  
Vol 27 (2) ◽  
pp. 270-280 ◽  
Author(s):  
R. Wes Harrison
Keyword(s):  
United States ◽  
Stochastic Dominance ◽  
The United States ◽  
Futures Contracts ◽  
Risk Averse ◽  
Feeder Cattle ◽  
Futures Contract ◽  
Risk Return ◽  
Put Option ◽  
Option Strategies

Stochastic simulation and generalized stochastic dominance are used to compare the risk-return properties of the Chicago Mercantile Exchange feeder cattle futures contract with those of the feeder cattle put option contract. Cash marketing, futures, and option strategies are analyzed for four backgrounding systems common to the mid-south region of the United States. The results show that at-the-money put option strategies dominate corresponding futures contract strategies according to generalized stochastic dominance. This implies that at-the-money put option contracts are superior to feeder cattle futures contracts for risk-averse backgrounders in the mid-south region of the United States.

Cross-Sectional Relationship Between Beta and Realized Returns in Emerging Markets

2019 ◽  
Vol 65 (2) ◽  
pp. 115-137
Author(s):  
Mohammad A. Khataybeh ◽  
Mohamad Abdulaziz ◽  
Zyad Marashdeh
Keyword(s):  
Emerging Markets ◽  
Stock Exchange ◽  
Expected Returns ◽  
Cross Sectional ◽  
Risk Return ◽  
Conditional Risk ◽  
Bull Markets ◽  
Amman Stock Exchange ◽  
Market Premium ◽  
The Impact

Abstract This paper examines the conditional risk-return relationship caused by the impact of using realized returns as a proxy for expected returns, which requires a separation of negative and positive market premiums. Following the methodology of Pettengill et al. (1995), we test the cross sectional relationship between beta and realized returns on the Amman Stock Exchange (ASE) for ten beta sorted portfolio over the period of January 1993 to December 2016. The empirical results suggest that the traditional two-pass approach produces an insignificant relationship between beta and realized returns in most of the sample period. However, when adjusting for negative market premiums, the results show a significant and consistent relationship for all the testing periods and samples. However, a guaranteed reward for holding extra risk occurred only in the period 2001 –2008, which suggests an assurance of positive risk-return tradeoff during bull markets. JEL Classifications: G11, G12, G15, C21 Asset Pricing, Emerging Markets, Conditional Relationship, Beta, Market Premium

scholarly journals The Volatility–Variability Hypotheses Testing and Hedging Effectiveness of Precious Metals for the Indonesian and Malaysian Capital Markets

2017 ◽  
Vol 19 (2) ◽  
pp. 167 ◽  
Author(s):  
Robiyanto Robiyanto ◽  
Sugeng Wahyudi ◽  
Irene Rini Demi Pangestuti
Keyword(s):  
Stock Exchange ◽  
Precious Metals ◽  
The Other ◽  
Futures Contracts ◽  
Investment Risk ◽  
Hypotheses Testing ◽  
Kuala Lumpur ◽  
Market Risks ◽  
Hedging Effectiveness ◽  
Almost All

This study evaluates the use of futures contracts for precious metals to hedge against stock market risks and their hedging effectiveness on the Indonesian Stock Exchange (IDX) and the Kuala Lumpur Stock Exchange (KLSE). This study found that gold was the most effective hedging instrument, since it produced the highest hedging effectiveness both on the IDX and the KLSE among the other precious metals. None of the hedged portfolios had a higher Sharpe’s ratio than the unhedged one on the IDX; however, all the hedged portfolios on the KLSE had a higher Sharpe’s ratio than the unhedged ones. Almost all the hedged portfolios could produce a higher Treynor’s ratio than the unhedged portfolios, both on the IDX and the KLSE. In general, this study concluded that studying some precious metals could reduce the investment risk, which was shown through the variance produced by the smaller portfolios, while gold can improve the risk-adjusted performance.

Macroeconomic Sensitivity, Risk-Return Trade-Off and Volatility Dynamics Evidence From Developed and Developing Markets

2019 ◽  
Vol 6 (1) ◽  
pp. 1-16
Author(s):  
Faisal Khan ◽  
Hashim Khan ◽  
Saif Ur-Rehman Khan ◽  
Muhammad Jumaa ◽  
Sharif Ullah Jan
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Stock Exchange ◽  
Three Dimensions ◽  
Leverage Effect ◽  
Return Volatility ◽  
Macroeconomic Factors ◽  
Stock Return Volatility ◽  
Risk Return ◽  
The Impact

This study aims to examine the impact of macroeconomic factors on the stock return volatility along with the pricing of risk, and asymmetry and leverage effect on a comparative basis for the USA and UAE markets. Further, these three dimensions are also investigated with regard to various firm's features (such as firm's size and age). The daily data for the period 4th January 2010 to 29th December 2017 of firm stock returns from the New York Stock Exchange (NYSE), the Abu Dhabi Securities Exchange (ADSE), and the Dubai Financial Market (DFM) is considered and three time-series models were applied. The results from GARCH (1. 1) indicated that all the economic factors have significant impact on the stock return volatility in both the markets. Similarly, the study also found evidence of asymmetry & leverage effect using EGARCH in the NYSE (for all firms) and the UAE (partially). Finally, for a majority of the firms, a positive risk-return relationship is found in the UAE and a negative risk-return relationship is found in the NYSE using GARCH-in the mean. Interestingly, these results in context of both markets were different with respect to various firm features such as firm size and age. In light of these results, it is concluded that both the markets have different dynamics with regard to all three dimensions. Hence, the investors have a clear opportunity to diversify their risk and investments across developed and emerging markets.

HEDGING EFFECTIVENESS OF CROSS-LISTED NIFTY INDEX FUTURES

2019 ◽  
Vol 19 (02) ◽  
pp. 1950011
Author(s):  
K. KIRAN KUMAR ◽  
SHREYA BOSE
Keyword(s):  
Variance Reduction ◽  
Stock Exchange ◽  
Conditional Correlation ◽  
Index Futures ◽  
Hedging Strategies ◽  
Hedging Effectiveness ◽  
Maximum Variance ◽  
Daily Data ◽  
Hedge Ratios ◽  
Autoregressive Conditional Heteroscedasticity

This paper investigates the hedging effectiveness of cross-listed Nifty Index futures and compares the performance of constant and dynamic optimal hedging strategies. We use daily data of Nifty index traded on the National Stock Exchange (NSE), India and cross-listed Nifty futures traded on the Singapore Stock Exchange (SGX) for a period of six years from July 15, 2010 to July 15, 2016. Various competing forms of Multivariate Generalised Autoregressive Conditional Heteroscedasticity (MGARCH) models, such as Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation (DCC), have been employed to capture the time-varying volatility. The results clearly depict that dynamic hedge ratios outperform traditional constant hedge ratios with the DCC–GARCH model being the most efficient with maximum variance reduction from the unhedged portfolio.

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