Research on optimization of hedging ratio of thermal coal futures in thermal power enterprises based on Delphi method

Springer Science and Business Media LLC - Tập 11 Số 2 - Trang 443-470 - 2020
Yunna Wu1,2, Lingyun Liu1,2,3, Jianli Zhou1,2, Chenghao Wu1,2, Chuanbo Xu1,2
1Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing, China
2School of Economics and Management, North China Electric Power University, Beijing, China
3Shanghai Shang Zeng Energy Technology Co., Ltd, Shanghai, China

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Tài liệu tham khảo

Lien, D., Kwak, S.: Provisional liquidation of futures hedge programs. Energy Econ. 28(2), 266–273 (2006)

Fine, J., Busch, C., Garderet, R.: The upside hedge value of California’s global warming policy given uncertain future oil prices. Energy Policy 44, 46–51 (2012)

Chen, S.G., Gu, X.: Research on overconfidence influence of stock index futures hedge. In: International Conference on Management Science & Engineering 2014, pp. 1295–1300

Hsu, C.M.: Forecasting stock/futures prices by using neural networks with feature selection. In: Information Technology and Artificial Intelligence Conference 2011, pp. 1–7

Rohlfs, W., Madlener, R.: Valuation of CCS-ready coal-fired power plants: a multi-dimensional real options approach. Energy Syst. 2(3–4), 243–261 (2011)

Lingyun, L., Xiaohu, Z.: Mutation risk of coal-fired double factors and futures and spot hedge strategy in coal-fired power enterprises. Coal Econ. Res. 35(3), 57–61 (2015)

Shang, Y.: US Coal Futures’ References to Chinese Coal Financial Innovation. In: International Conference on Information Management, Innovation Management and Industrial Engineering 2009, pp. 172–175

Shi, J., Xu, T.: Price and volatility dynamics between securitized real estate spot and futures markets. Econ. Model. 35(5), 582–592 (2013)

Huanwen, N.T.: Study of the relations between the fluctuations of interest rate, wage, the prices of products and the variation of technical coefficient matrix. Syst. Eng. Theory Pract. 4 (1988). http://en.cnki.com.cn/Article_en/CJFDTOTAL-XTLL804.004.htm . Accessed 01 Jan 2019

Lee, C.L., Stevenson, S., Lee, M.L.: Futures trading, spot price volatility and market efficiency: evidence from european real estate securities futures. J. Real Estate Financ. Econ. 48(2), 299–322 (2014)

Martínez, B., Torró, H.: Hedging spark spread risk with futures. Energy Policy 113, 731–746 (2018)

Rosyid, F.A., Adachi, T.: Optimization on long term supply allocation of Indonesian coal to domestic market. Energy Syst. 9(2), 1–30 (2017)

Song, M.L., Song, H., Zhao, J.J., Wang, J.L.: Power supply, coal price, and economic growth in China. Energy Syst. 8(4), 1–20 (2017)

Guo, X., Wei, Y., Yuan, J.: Will the steam coal price rebound under the new economy normalcy in China? Energies 9(9), 751 (2016)

Burrows, M.: Decentralised energy futures: the changing emissions reduction landscape. Procedia Cirp 29, 138–143 (2015)

Connor, L.H.: Energy futures, state planning policies and coal mine contests in rural New South Wales. Energy Policy 99, 233–241 (2016)

Shang, Y., Lu, X.: Feasibility Analysis to Establish Coking Coal Futures in China from US Experience. In: International Conference on Industrial Engineering and Engineering Management, 2009. IE&EM 2009, pp. 1978–1982

Talinli, I., Topuz, E., Akbay, M.U.: Comparative analysis for energy production processes (EPPs): sustainable energy futures for Turkey. Energy Policy 38(8), 4479–4488 (2010)

Tse, Y.: Price discovery and volatility spillovers in the DJIA index and futures markets. J. Futures Mark. 19(8), 911–930 (1999)

Johnson, L.L.: The theory of hedging and speculation in commodity futures. Rev. Econ. Stud. 27(3), 139–151 (1960)

Howard, C.T., D'Antonio, L.J.: A risk-return measure of hedging effectiveness. J. Financ Quant. Anal. 19(1), 101–112 (1984)

Cecchetti, S.G., Cumby, R.E., Figlewski, S.: Estimation of the optimal futures hedge. Rev. Econ. Stat. 70, 623–630 (1988)

Chou, W., Denis, K.F., Lee, C.F.: Hedging with the Nikkei index futures: The convential model versus the error correction model. Q. Rev. Econ. Financ 36(4), 495–505 (1996)

Ghosh, A.: Hedging with stock index futures: Estimation and forecasting with error correction model. J. Futures Mark. 13(7), 743–752 (1993)

Park, H.Y., Bera, A.K.: Interest‐rate volatility, basis risk and heteroscedasticity in hedging mortgages. Real Estate Econ. 15(2), 79–97 (1987)

Hull, R.M.: Leverage ratios, industry norms, and stock price reaction: An empirical investigation of stock-for-debt transactions. Financ Manage. 28(2), 32–45 (1999)

Gengpu, Z: Research of Thermal Coal Futures Pricing model and Optimal Hedging Ratio Model. China University of Mining and Technology, Beijing (2016). http://kns.cnki.net/kns/brief/default_result.aspx . Accessed 01 Jan 2019

Qingfu, L: Research on the Volatility and Price Manipulation in Chinese Futures Market. Southeast University (2005). http://kns.cnki.net/kns/brief/default_result.aspx . Accessed 01 Jan 2019

Shuran, Z., Dandan, D.: Futures dynamic VaR hedging based on ECM model. Stat. Decis. 13, 150–154 (2013)

Jun, S.: Pricing, Behavior Patterns and Institutions of the Futures Markets: Pricing, Behavior Patterns and Institutions of the Futures Markets. Fudan University Press, Shanghai (2012)

Wang, G.J., Xie, C., He, L.Y., Chen, S.: Detrended minimum-variance hedge ratio: a new method for hedge ratio at different time scales. Phys. A Stat. Mech. Appl. 405(C), 70–79 (2014)

Dolatabadi, S., Narayan, P.K., Nielsen, M.Ø., Xu, K.: Economic significance of commodity return forecasts from the fractionally cointegrated VAR model. J. Futures Mark. 38(2), 219–242 (2018)

Steurer, J.: The Delphi method: an efficient procedure to generate knowledge. Skelet. Radiol. 40(8), 959–961 (2011)

Orsi, F., Geneletti, D., Newton, A.C.: Towards a common set of criteria and indicators to identify forest restoration priorities: an expert panel-based approach. Ecol. Ind. 11(2), 337–347 (2011)

Rowe, G., Wright, G.: The Delphi technique: past, present, and future prospects—introduction to the special issue. Technol. Forecast. Soc. Change 78(9), 1487–1490 (2011)

Diamond, I.R., Grant, R.C., Feldman, B.M., Pencharz, P.B., Ling, S.C., Moore, A.M., Wales, P.W.: Defining consensus: a systematic review recommends methodologic criteria for reporting of Delphi studies. J. Clin. Epidemiol. 67(4), 401–409 (2014)

Gracht, H.A.V.D.: Consensus measurement in Delphi studies: review and implications for future quality assurance. Technol. Forecast. Soc. Change 79(8), 1525–1536 (2012)

Linde, E.V.D., Duin, P.V.D.: The Delphi method as early warning: linking global societal trends to future radicalization and terrorism in The Netherlands. Technol. Forecast. Soc. Change 78(9), 1557–1564 (2011)

Ray, P.K., Sahu, S.: Productivity management in India: a Delphi study. Int. J. Oper. Prod. Manag. 10(10), 25–51 (1990)