Time Variable Modeling of The Optimal Hedge Ratio Using Future Contracts: A Combined Approach of Pair-Capula Functions and Wavelet Decomposition

Document Type : Original Article

Authors

1 Ph.D. Student in Financial Engineering, Department of Management, Rasht Branch, Islamic Azad University, Rasht, Iran.

2 ** Associate Prof, Department of Management, University of Guilan, Rasht, Iran

3 Assistant Prof, Department of Management, Rasht Branch, Islamic Azad University, Rasht, Iran.

Abstract

The dependency structure of the futures and spot markets is crucial for achieving the optimal hedge ratio. Accordingly, the use of methods that consider the structural dependence on the decomposed frequencies in the modeling can achieve the optimal hedge ratio. The purpose of the this study is to model the optimal hedge ratio in futures and spot markets of gold coin with respect to structural dependence based on wavelet-Copula as time variables. For this purpose, the data of spot and futures markets of gold coins in Tehran Stock Exchange during March 25, 2014 to September 2, 2018 were used in daily time frame The results of time variability wavelet analysis model, GARCH-Copula model, and Combined Pair-Capula Functions and Wavelet Decomposition showed better performance of the models based on Combined Pair-Capula Functions and Wavelet Decomposition in the medium and long term.

Keywords


1. Alimoradi, M. (2013).Estimation of Constant and Time-varying Optimal Hedge Ratio and Hedging Effectiveness in the Natural gas Futures Market. Journal of Iranian Energy Economics, 2(8), 109-128. (In Persian)
2. Bahrami, J., & Mirzapoor Babajan, A. (2012). Optimal Hedge Ratio for Gold Coin Futures Contracts Traded in Iran Mercantile Exchange (IME). Quarterly Journal of Economic Research and Policies, 20(64), 175-206. (In Persian)
3. Chen, J., Hong, H., & Stein, J. (2001). Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices. Journal of Financial Economics, 61, 345–381.
4. Ebrahimi, M., & Ghanbari, A. (2009). Risk coverage of oil earnings volatility in use of future contracts in Iran. Journal of Economic Research, 9(3), 173-204. (In Persian)
5. Ederington, L. H. (1979). The hedging performance of the new futures markets. The Journal of Finance, 34(1), 157–170.
6. Eskandari, H., Anvary Rostamy, A., & Husseinzadeh Kashan, A. (2016). Risk hedging by use of Hybrid future contracts index (Case: Iran financial market). Financial Engineering and Portfolio Management, 28, 55-72. (In Persian)
7. Farzinvash, A., Farman ara, O., & Mohammadi, S. (2013). Estimating the Optimum Risk Coverage Ratio at Different Scales: A Wavelet Analysis Approach. Journal of Economic Strategy, 2(6), 7-40, (In Persian)
8. Hammoudeh, S., Yuan, Y., McAleer, M., & Thompson, M. (2010). Preciousmetal-exchange rate volatility transmission and hedging strategies. InternationalReview of Economics$ Finance, 19(4), 633-647.
9. Jalali Naeeni, S. A. R., & Kazemi manesh, M. (2012). Investigating Changes in the Optimal Risk Coverage Ratio in the Oil Market. Quarterly Energy Economics Review, 1, 3-27. (In Persian)
10. Johnson, L. L. (1960). The theory of hedging and speculation in commodity futures. Review of Economic Studies, 27, 139–151.
11. Keshavarz Haddad, GH., & Heyrani, M. (2004). Estimation of Value at Risk in the Presence of Dependence Structure in Financial Returns: A Copula Based Approach. Journal of Economic Research, 49(4), 869-902. (In Persian)
12. Lali sarabi, A., & Mesbahi Moghadam, GH. (2011). Speculative futures trading and its compliance with Islamic standards. Shahid Beheshti University Journal of Financial Management Perspective, 4, 115-128. (In Persian)
13. Mallat, S. G. (1989). A Theory for Multiresolution Signal Decomposition: The Wavelet Representation, IEEE Transaction on Pattern Analysis and Machine Intelligence, 11(7), 674-693.
14. Örnberg, Juha Kotkatvuori(2016) Dynamic conditional copula correlation and optimal hedge ratios with currency futures. International Review of Financial Analysis, 47, 60–69.
15. Rostami, A., Zomorodian, G., & Alimohammadi, M. (2017). Feasibility of Currency hedging for exporter and importer companies by using the Iran Mercantile Exchange Coin futures contract. Investment knowledge, 6(23), 85-104. (In Persian)
16. Sajad , R., & Torosian, A. (2014). Exchange Rate Optimal Hedge Ratio by Gold Futures in Iran.Investment knowledge, 3(12), 1-24, (In Persian).
17. Shariat panahi, M., Mohammad zadegan, H., & Shahini, S. (2013). The Relationship between the Time and Maturity of Gold Coin Futures on the Iranian Stock Exchange. Shahid Beheshti University Journal of Financial Management Perspective, 9, 53-66, (In Persian).
18. Sklar, M. (1959). Fonctions de répartition à n dimensions et leurs marges. Université Paris, 8, 229-231.
19. Sukcharoen, K., Leatham, D. J., (2017). Hedging downside risk of oil refineries: A vine copula approach. Energy Economics, 66, 493–507.
20. Taheri Bazkhaneh, S., Ehsani, M. A., & Gilak Hakim Abadi, M. T. (2019). The Investigating of the Dynamic Relationship between Financial Cycles with Business Cycles and the Inflation Gap in Iran: An Application of Wavelet Transform. Economic Growth and Development Research, 9(33), 121-140. (In Persian)
21. Tehrani, R., & Seyed Khosroshahi, A. (2017). Fluctuation transfer and the interaction of gold, currency and stock markets. Shahid Beheshti University Journal of Financial Management Perspective, 18, 9-31. (In Persian)