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 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

scholarly journals HOW EFFECTIVE IS FUTURES AS AN INSTRUMENT OF HEDGING AGAINST PRICE RISK? -A STUDY BASED ON SPOT AND FUTURE PRICES OF GOLD

2016 ◽  
Vol 4 (9) ◽  
pp. 143-150
Author(s):  
Shafeeque Muhammad ◽  
Thomachan
Keyword(s):  
Spot Market ◽  
Futures Market ◽  
Price Risk ◽  
Time Varying ◽  
Risk Hedging ◽  
Hedging Effectiveness ◽  
Cash Market ◽  
Hedge Ratios ◽  
Opposite Position

This paper examines the role of commodity futures market as an instrument of hedging against price risk. Hedging is the practice of offsetting the price risk in a cash market by taking an opposite position in the futures market. By taking a position in the futures market, which is opposite to the position held in the spot market, the producer can offset the losses in the latter with the gains in the former. Both static and time varying hedge ratios have been calculated using VECM-MGARCH model. Variance of return from hedge portfolio has been found to be low. Further hedging effectiveness has been observed to be around 12%.

One-Factor and Two-Factor Dynamic Hedging of Futures Contracts with Different Maturities for Emissions Allowances

2013 ◽  
Vol 380-384 ◽  
pp. 4529-4536
Author(s):  
Chang Kai ◽  
Zhen Yu
Keyword(s):  
Risk Reduction ◽  
Market Price ◽  
Futures Contracts ◽  
Effectiveness Evaluation ◽  
Time Varying ◽  
Slight Effect ◽  
Hedging Effectiveness ◽  
Hedge Ratios ◽  
Hedging Policy ◽  
Speed Change

Unexpected market information have a different speed change to market price of futures contracts with different maturities, and the paper estimates one-factor and two-factor dynamics hedge ratios and hedging effectiveness evaluation. One-factor and two-factor hedge ratios of futures contracts with different maturities for emissions allowances have time-varying trends. Compared with one-factor hedging, with an increase of span period, market participations can achieve a slight effect on risk reduction of portfolio revenues of futures contracts with different maturities by using two-factor hedge ratios, and especially two-factor hedging policy exhibits better hedging effectiveness for longer-term span period of futures contracts with different maturities for emissions allowances.

Risk Management with KOSDAQ50 Index Futures Markets

2003 ◽  
Vol 11 (2) ◽  
pp. 51-79
Author(s):  
Gyu Hyeon Mun ◽  
Jeong Hyo Hong
Keyword(s):  
Garch Model ◽  
Minimum Variance ◽  
Price Risk ◽  
Risk Minimization ◽  
Index Futures ◽  
Hedging Strategies ◽  
Hedging Effectiveness ◽  
Hedge Ratios ◽  
Sample Data ◽  
Hedging Performance

This paper studies hedging strategies that use the KOSDAQ50 index futures to hedge the price risk of the KOSDAQ50 index spot portfolio. This study uses the minimum variance hedge model and bivariate ECT-GARCH (1,1) model as hedging models, and analyzes their hedging performances. The sample period covers from January 31, 2001 to December 31, 2002. The most important findings may be summarized as follows. First, both the risk-minimization and GARCH model exhibit hedge ratios that are substantially lower than one. Hedge ratios of the risk-minimization tend to be higher than those of GARCH model. Second, for the in-sample data, hedging effectiveness of GARCH model is higher than that of the risk-minimization, while for the out-of-sample data, hedging effectiveness of the risk-minimization with constant hedge ratios is not far behind the GARCH model in its hedging performance. Third, the hedging performance of KOSDAQ50 index futures is lower than that of KOSPI200 index futures, but higher than that of KTB futures. In conclusion, in the KOSDAQ50 index market, investors are encouraged to use the simple risk-minimization model to hedge the price risk of KOSDAQ50 spot portfolios.

scholarly journals Hedging Effectiveness of Commodity Futures Contracts to Minimize Price Risk: Empirical Evidence from the Italian Field Crop Sector

Risks ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 213
Author(s):  
Carlotta Penone ◽  
Elisa Giampietri ◽  
Samuele Trestini
Keyword(s):  
Financial Markets ◽  
Futures Markets ◽  
Futures Contracts ◽  
Price Risk ◽  
Field Crop ◽  
Exchange Market ◽  
Income Risk ◽  
The North ◽  
Hedging Effectiveness ◽  
American Counterpart

Over the last years, farmers have been increasingly exposed to income risk due to the volatility of the commodities prices. Among others, hedging in futures markets (i.e., financial markets) represents an available strategy for producers to cope with income risks at farm level. To better understand the advantages of such promising tools, this paper aims at analyzing the hedging effectiveness for soybean, corn and milling wheat producers in Italy. Following the literature, three different methodologies (i.e., naïve, OLS, GARCH) are applied for the estimation of the hedge portfolio, then compared to an unhedged portfolio for assessing the income risk reduction. Findings confirm the hedging effectiveness of futures contracts for all the considered commodities, showing also that this effect increases with longer hedge horizons, and also showing better performances for the European exchange market (i.e., Euronext), compared to the North American counterpart.

scholarly journals Working Capital Management and Firm Performance

2018 ◽  
Vol 2 (2) ◽  
pp. 37-50
Author(s):  
Sunday Simon ◽  
Norfaiezah Sawandi ◽  
Mohamad Ali Abdul-Hamid
Keyword(s):  
Firm Performance ◽  
Financial Crisis ◽  
Stock Exchange ◽  
Explanatory Power ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Crisis Period ◽  
Listed Firms ◽  
Significant Difference

This study examines the relationship between working capital management (WCM) and firm performance during and after the financial crisis of 2007-2008 in Nigeria. During the crisis, lending conditions were deeply affected, and financing operations became challenging for firms. Although research findings on the causes and effects of the crisis on the economy are known, what remains unknown is whether the financial crisis had a significant impact on WCM performance. This knowledge is essential for developing resilience to withstand a possible crisis in the future because vulnerability remains high as a result of the deepened integration of many economies. Thus, this study addresses this issue using a sample of 675 firm-year observations from listed firms on the Nigerian stock exchange for the period from 2007 to 2015. The differences between the two periods, the crisis period and then after the crisis period, is operationalised through two analyses. First, OLS regression analysis was conducted to determine the explanatory powers of WCM for the two periods via their R2s. Second, a test of difference using the Cramer Z-statistic for the two periods was conducted. The findings indicate that WCM variables have more explanatory power (R2) in the period after the crisis than during the crisis. Also, the results revealed that the Z-scores are significant, implying that a significant difference existed between the two periods. This means that WCM was affected during the financial crisis and led to low profitability, whereas, during the after-crisis period, WCM associates with higher profitability.

scholarly journals The Integrated Measuring of Working Capital Management Efficiency on Financial Performance in Indonesia Stock Exchange

2015 ◽  
Vol 7 (3) ◽  
pp. 26-33
Author(s):  
Petrus Emanuel De ◽  
Rina Indiastuti . ◽  
Erie Febrian .
Keyword(s):  
Financial Crisis ◽  
Financial Performance ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Chief Financial Officers ◽  
Working Capital ◽  
Data Set ◽  
Crisis Period ◽  
Cash Conversion Cycle ◽  
The Global Financial Crisis

The purpose of this study is to determine the differences effect of working capital efficiency on financial performance during periods of crisis. The measurement is made during the crisis compared to the entire period of observation by using cash conversion cycle (CCC) and working capital policy (both investment policy and financing policy) on the profitability (by return on assets) and market value (by Tobin’s Q). Using all annual financial data of 104 manufacturing firms listed in Indonesia Stock Exchange (IDX) over the period 2005-2013. These periods include the global financial crisis. The panel data set was developed for nine years, which produced 936 firms-years observations. This study uses multivariate regression models with hierarchical regression analysis approach. This approach uses the global financial crisis period as a dummy variable. The results showed that there were differences in the effect of the cash conversion cycle (and its components) and working capital policy on profitability during the crisis period compared to the whole period. In contrast, no differences effect the cash conversion cycle (and its components) and working capital policy on the value of the company in the crisis period compared to the whole period. The manufacturing industries do not apply the efficiency in the management of working capital. The global financial crisis tends the companies to change their working capital policy more efficiently. The researcher can extend this study by doing a qualitative research how to chief financial officers invest and finance day-by-day operation.

scholarly journals Hedging effectiveness for international index futures markets

2018 ◽  
Vol 32 (1) ◽  
pp. 149-159
Author(s):  
Alexandros Koulis ◽  
George Kaimakamis ◽  
Christina Beneki
Keyword(s):  
Futures Markets ◽  
Futures Contracts ◽  
Index Futures ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Hedging Effectiveness ◽  
Hedge Ratios ◽  
The Usa ◽  
Conventional Models ◽  
Market Indexes

Abstract This paper investigates the hedging effectiveness of the International Index Futures Markets using daily settlement prices for the period 4 January 2010 to 31 December 2015. Standard OLS regressions, Error Correction Model (ECM), as well as Autoregressive Distributed Lag (ARDL) cointegration model are employed to estimate corresponding hedge ratios that can be employed in risk management. The analyzed sample consists of daily closing market rates of the stock market indexes of the USA and the European futures contracts. The findings indicate that the time varying hedge ratios, if estimated through the ARDL model, are more efficient than the fixed hedge ratios in terms of minimizing the risk. Additionally, there is evidence that the comparative advantage of advanced econometric approaches compared to conventional models is enhanced further for capital markets within peripheral EU countries

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