IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login

Citations for " Some Recent Developments in Futures Hedging"

by Lien, Donald & Tse, Y K

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. David Shaffer & Andrea DeMaskey, 2005. "Currency Hedging Using the Mean-Gini Framework," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 125-137, September.
  2. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
  3. Cotter, John & Hanly, James, 2005. "Re-evaluating Hedging Performance," MPRA Paper 3523, University Library of Munich, Germany.
  4. Beatriz Martínez & Hipòlit Torró, 2015. "European Natural Gas Seasonal Effects on Futures Hedging," Working Papers 2015.10, Fondazione Eni Enrico Mattei.
  5. Adam-Müller, Axel F.A. & Nolte, Ingmar, 2011. "Cross hedging under multiplicative basis risk," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2956-2964, November.
  6. Moawia Alghalith & Ricardo Lalloob, 2012. "A General Empirical Model of Hedging," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 5(1), pages 1-19, December.
  7. Hou, Yang & Li, Steven, 2013. "Hedging performance of Chinese stock index futures: An empirical analysis using wavelet analysis and flexible bivariate GARCH approaches," Pacific-Basin Finance Journal, Elsevier, vol. 24(C), pages 109-131.
  8. Lien, Donald & Yang, Li, 2008. "Asymmetric effect of basis on dynamic futures hedging: Empirical evidence from commodity markets," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 187-198, February.
  9. Lin, Xiaoqiang & Chen, Qiang & Tang, Zhenpeng, 2014. "Dynamic hedging strategy in incomplete market: Evidence from Shanghai fuel oil futures market," Economic Modelling, Elsevier, vol. 40(C), pages 81-90.
  10. Anton Bekkerman, 2011. "Time-varying hedge ratios in linked agricultural markets," Agricultural Finance Review, Emerald Group Publishing, vol. 71(2), pages 179-200, July.
  11. Buhl, Hans Ulrich & Strauß, Sofie & Wiesent, Julia, 2011. "The impact of commodity price risk management on the profits of a company," Resources Policy, Elsevier, vol. 36(4), pages 346-353.
  12. Revoredo-Giha, Cesar & Zuppiroli, Marco, 2012. "Effectiveness of hedging within the high price volatility context," Working Papers 142546, Scottish Agricultural College, Land Economy Research Group.
  13. Revoredo-Giha, Cesar & Zuppiroli, Marco, 0. "Commodity futures markets: are they an effective price risk management tool for the European wheat supply chain?," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), issue 3.
  14. Mara Madaleno & Carlos Pinho, 2010. "Hedging Performance and Multiscale Relationships in the German Electricity Spot and Futures Markets," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 3(1), pages 26-62, December.
  15. Antonakakis, Nikolaos & Kizys, Renatas & Floros, Christos, 2014. "Dynamic Spillover Effects in Futures Markets," MPRA Paper 53876, University Library of Munich, Germany.
  16. Bokusheva, Raushan & Breustedt, Gunnar & Heidelbach, Olaf, 2006. "Measurement and Comparison of Risk Reduction by Means of Farm Yield, Area Yield, and Weather Index Crop Insurance Schemes - The Case of Kazakhstani Wheat Farms," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25523, International Association of Agricultural Economists.
  17. Alizadeh, Amir H. & Nomikos, Nikos K. & Pouliasis, Panos K., 2008. "A Markov regime switching approach for hedging energy commodities," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1970-1983, September.
  18. Coakley, Jerry & Dollery, Jian & Kellard, Neil, 2008. "The role of long memory in hedging effectiveness," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3075-3082, February.
  19. Cotter, John & Hanly, James, 2007. "Hedging Effectiveness under Conditions of Asymmetry," MPRA Paper 3501, University Library of Munich, Germany.
  20. Chang, C. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  21. John Cotter & Jim Hanly, 2014. "Performance of Utility Based Hedges," Working Papers 201404, Geary Institute, University College Dublin.
  22. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
  23. Lien, Donald & Kwak, Soojong, 2006. "Provisional liquidation of futures hedge programs," Energy Economics, Elsevier, vol. 28(2), pages 266-273, March.
  24. Amine Lahiani & Khaled Guesmi, 2014. "Commodity Price Correlation and Time varying Hedge Ratios," Working Papers 2014-142, Department of Research, Ipag Business School.
  25. Dungey, Mardi & Hvozdyk, Lyudmyla, 2012. "Cojumping: Evidence from the US Treasury bond and futures markets," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1563-1575.
  26. Bin Chen & Yongmiao Hong, 2013. "A Unified Approach to Validating Univariate and Multivariate Conditional Distribution Models in Time Series," Papers 2013-10-14, Working Paper.
  27. Matteo Manera & Elisa Scarpa, 2006. "Pricing and Hedging Illiquid Energy Derivatives:an Application to the JCC Index," Working Papers 2006.130, Fondazione Eni Enrico Mattei.
  28. Ederington, Louis H. & Salas, Jesus M., 2008. "Minimum variance hedging when spot price changes are partially predictable," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 654-663, May.
  29. Capitani, Daniel H.D. & Mattos, Fabio, 2012. "Risk measurement in commodities markets: How much price risk do agricultural producers really face?," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124761, Agricultural and Applied Economics Association.
  30. Torro, Hipolit, 2009. "Assessing the influence of spot price predictability on electricity futures hedging," MPRA Paper 18892, University Library of Munich, Germany.
  31. Mattos, Fabio & Garcia, Philip & Nelson, Carl H., 2005. "Relaxing Standard Hedging Assumptions in the Presence of Downside Risk," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19040, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  32. Chris Brooks & Ryan J. Davies & Sang Soo Kim, 2005. "Cross Hedging with Single Stock Futures," ICMA Centre Discussion Papers in Finance icma-dp2004-15, Henley Business School, Reading University.
  33. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
  34. Demirer, Riza & Lien, Donald & Shaffer, David R., 2005. "Comparisons of short and long hedge performance: the case of Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 15(1), pages 51-66, February.
  35. Dark, Jonathan, 2012. "Will tighter futures price limits decrease hedge effectiveness?," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2717-2728.
  36. Ahmed Ghorbel & Abdelwahed Trabelsi, 2012. "Optimal dynamic hedging strategy with futures oil markets via FIEGARCH-EVT copula models," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 4(1), pages 1-28.
  37. Liao Wang & Johannes Wissel, 2013. "Mean-variance hedging with oil futures," Finance and Stochastics, Springer, vol. 17(4), pages 641-683, October.
  38. Dungey, Mardi & Hvozdyk, Lyudmyla, 2010. "Cojumping: Evidence from the US Treasury Bond and Future Markets (Discussion Paper 2010-06)," Working Papers 10450, University of Tasmania, School of Economics and Finance, revised 14 Jul 2010.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.