[1] 林伯强, 黄光晓. 能源金融[M]. 2版. 北京:清华大学出版社, 2014. Lin B Q, Huang G X. Energy finance[M]. 2nd ed. Beijing:Tsinghua University Press, 2014.
[2] 陈柳钦. "钦点"能源(一)[M]. 北京:中国金融出版社, 2014. Chen L Q. "Hand-picked" energy (Part one)[M]. Beijing:China Finance Press, 2014.
[3] Hotelling H. The economics of natural resources[J]. Journal of Political Economy, 1931, 39(2):137-175.
[4] Dees S, Karadeloglou P, Kaufmann R K, et al. Modelling the world oil market:Assessment of a quarterly econometric model[J]. Energy Policy, 2007, 35(1):178-191.
[5] Kilian L. Oil price shocks:Causes and consequences[J]. Annual Review of Resource Economic, 2014, 6(1):133-154.
[6] Heath D. Macroeconomic factors in oil futures markets[J]. Management Science, 2019, 65(9):4407-4421.
[7] Fattouh B, Kilian L, Mahadeva L. The role of speculation in oil markets:What have we learned so far?[J]. Energy Journal, 2013, 34(3):7-33.
[8] Hamilton J D. Causes and consequences of the oil shock of 2007-08[J]. Brookings Papers on Economic Activity, 2009(1):215-283.
[9] Kilian L. Not all oil price shocks are alike:Disentangling demand and supply shocks in the crude oil market[J]. American Economic Review, 2009, 99(3):1053-1069.
[10] Kilian L, Murphy D P. The role of inventories and speculative trading in the global market for crude oil[J]. Journal of Applied Econometrics, 2014, 29(3):454-478.
[11] Aastveit K A, Bjørnland H C, Thorsrud L A. What drives oil prices? Emerging versus developed economies[J]. Journal of Applied Econometrics, 2015, 30(7):1013-1028.
[12] 谢楠, 龚旭, 林伯强, 等. 中国石油需求与全球石油库存对国际油价的影响研究[J]. 当代经济科学, 2018, 40(4):27-34+130, 131. Xie N, Gong X, Lin B Q, et al. Impact of China's oil demand and global oil inventory on international oil price[J]. Modern Economic Science, 2018, 40(4):27-34+130, 131.
[13] Baumeister C, Hamilton J D. Structural interpretation of vector autoregressions with incomplete identification:Revisiting the role of oil supply and demand shocks[J]. American Economic Review, 2019, 109(5):1873-1910.
[14] Kaufmann R K, Ullman B. Oil prices, speculation, and fundamentals:Interpreting causal relations among spot and futures prices[J]. Energy Economics, 2009, 31(4):550-558.
[15] Ji Q. System analysis approach for the identification of factors driving crude oil prices[J]. Computers and Industrial Engineering, 2012, 63(3):615-625.
[16] Gong X, Chen L, Lin B. Analyzing dynamic impacts of different oil shocks on oil price[J]. Energy, 2020, 198:117306.
[17] Zhang X, Lai K K, Wang S. Did speculative activities contribute to high crude oil prices during 1993 to 2008?[J]. Journal of Systems Science and Complexity, 2009, 22(4):636-646.
[18] Wen F, Xiao J, Huang C, et al. Interaction between oil and US dollar exchange rate:Nonlinear causality, time-varying influence and structural breaks in volatility[J]. Applied Economics, 2018, 50(3):319-334.
[19] 张程, 范立夫. 大宗商品价格影响与货币政策权衡——基于石油的金融属性视角[J]. 金融研究, 2017(3):72-85. Zhang C, Fan L F. Commodity price influence and monetary policy trade-offs:Based on the financial attribute of oil view[J]. Journal of Financial Research, 2017(3):72-85.
[20] Ji Q, Guo J. Oil price volatility and oil-related events:An internet concern study perspective[J]. Applied Energy, 2015, 137:256-264.
[21] Pavlidis E G, Paya I, Peel D A. Using market expectations to test for speculative bubbles in the crude oil market[J]. Journal of Money Credit & Banking, 2018, 50(5):833-856.
[22] Nick S, Thoenes S. What drives natural gas prices?-A structural VAR approach[J]. Energy Economics, 2014, 45:517-527.
[23] Ji Q, Zhang H Y, Geng J B. What drives natural gas prices in the United States?-A directed acyclic graph approach[J]. Energy Economics, 2018, 69:79-88.
[24] Hailemariam A, Smyth R. What drives volatility in natural gas prices?[J]. Energy Economics, 2019, 80:731-742.
[25] Ketterer J C. The impact of wind power generation on the electricity price in Germany[J]. Energy Economics, 2014, 44:270-280.
[26] 牟敦果, 王沛英. 中国能源价格内生性研究及货币政策选择分析[J]. 金融研究, 2017(11):81-95. Mou D G, Wang P Y. Study of endogenous energy prices and monetary policy choice in China[J]. Journal of Financial Research, 2017(11):81-95.
[27] Mosquera-López S, Nursimulu A. Drivers of electricity price dynamics:Comparative analysis of spot and futures markets[J]. Energy Policy, 2019, 126:76-87.
[28] Baumeister C, Kilian L. Forecasting the real price of oil in a changing world:A forecast combination approach[J]. Journal of Business & Economic Statistics, 2015, 33(3):338-351.
[29] Baumeister C, Korobilis D, Lee T K. Energy markets and global economic conditions[R]. NBER Working Paper No. 27001, 2020.
[30] 范贻昌, 刘波. 多维自回归模型在天然气价格预测中的应用[J]. 系统工程理论与实践, 1999, 19(11):92-96. Fan Y C, Liu B. The application of vector autoregression model on price forecasting of natural gas[J]. Systems Engineering-Theory & Practice, 1999, 19(11):92-96.
[31] Chen Y C, Rogoff K S, Rossi B. Can exchange rates forecast commodity prices?[J]. The Quarterly Journal of Economics, 2010, 125(3):1145-1194.
[32] Ziel F, Weron R. Day-ahead electricity price forecasting with high-dimensional structures:Univariate vs. multivariate modeling frameworks[J]. Energy Economics, 2018, 70:396-420.
[33] Fan X, Wang L, Li S. Predicting chaotic coal prices using a multi-layer perceptron network model[J]. Resources Policy, 2016, 50:86-92.
[34] Uniejewski B, Marcjasz G, Weron R. Understanding intraday electricity markets:Variable selection and very short-term price forecasting using LASSO[J]. International Journal of Forecasting, 2019, 35:1533-1547.
[35] 梁强, 范英, 魏一鸣. 基于PMRS的期货加权油价多步预测方法[J]. 管理科学学报, 2008, 11(6):84-90.Liang Q, Fan Y, Wei Y M. Futures-weighted oil price multi-step prediction approach on PMRS[J]. Journal of Management Sciences in China, 2008, 11(6):84-90.
[36] Sadorsky P. Modeling and forecasting petroleum futures volatility[J]. Energy Economics, 2006, 28:467-488.
[37] Kang S H, Yoon S M. Modeling and forecasting the volatility of petroleum futures prices[J]. Energy Economics, 2013, 36:354-362.
[38] Zhang Y J, Yao T, He L Y, et al. Volatility forecasting of crude oil market:Can the regime switching GARCH model beat the single-regime GARCH models?[J]. International Review of Economics & Finance, 2019, 59:302-317.
[39] Sadorsky P, McKenzie M D. Power transformation models and volatility forecasting[J]. Journal of Forecasting, 2008, 27(7):587-606.
[40] 尚永庆, 王震, 陈冬月. Hull-White模型和二叉树模型在预测油价及油价波动风险上的应用[J]. 系统工程理论与实践, 2012, 32(9):1996-2002.Shang Y Q, Wang Z, Chen D Y. Forecasting the fluctuation of oil price based on Hull-White model and binary tree model[J]. Systems Engineering-Theory & Practice, 2012, 32(9):1996-2002.
[41] Baum C F, Zerilli P. Jumps and stochastic volatility in crude oil futures prices using conditional moments of integrated volatility[J]. Energy Economics, 2016, 53:175-181.
[42] Haugom E, Langeland H, Molnár P, et al. Forecasting volatility of the U.S. oil market[J]. Journal of Banking & Finance, 2014, 47:1-14.
[43] Sévi B. Forecasting the volatility of crude oil futures using intraday data[J]. European Journal of Operational Research, 2014, 235(3):643-659.
[44] Wen F, Gong X, Cai S. Forecasting the volatility of crude oil futures using HAR-type models with structural breaks[J]. Energy Economics, 2016, 59:400-413.
[45] Gong X, Lin B. The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market[J]. Energy Economics, 2018, 74:370-386.
[46] 龚旭, 林伯强. 跳跃风险, 结构突变与原油期货价格波动预测[J]. 中国管理科学, 2018, 26(11):11-21.Gong X, Lin B Q. Jump risk, structural breaks and forecasting crude oil futures volatility[J]. Chinese Journal of Management Science, 2018, 26(11):11-21.
[47] Ma F, Liao Y, Zhang Y, et al. Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks[J]. Journal of Empirical Finance, 2019, 52:40-55.
[48] Uritskaya O Y, Uritsky V M. Predictability of price movements in deregulated electricity markets[J]. Energy Economics, 2015, 49:72-81.
[49] Ciarreta A, Muniain P, Zarraga A. Modeling and forecasting realized volatility in German-Austrian continuous intraday electricity prices[J]. Journal of Forecasting, 2017, 36(6):680-690.
[50] Baruník J, Křehlík T. Combining high frequency data with non-linear models for forecasting energy market volatility[J]. Expert Systems with Applications, 2016, 55:222-242.
[51] Cortazar G, Millard C, Ortega H, et al. Commodity price forecasts, futures prices, and pricing models[J]. Management Science, 2019, 65(9):4141-4155.
[52] 马超群, 赵新伟. 亚太LNG市场双挂钩远期合约定价研究[J]. 系统工程理论与实践, 2018, 38(6):1371-1386.Ma C Q, Zhao X W. Study on Asia-Pacific LNG forward pricing based on crude oil and natural gas prices[J]. Systems Engineering-Theory & Practice, 2018, 38(6):1371-1386.
[53] Bejbl J, Bemš J, Králík T, et al. New approach to brown coal pricing using internal rate of return methodology[J]. Applied Energy, 2014, 133:289-297.
[54] Trolle A B, Schwartz E S. Unspanned stochastic volatility and the pricing of commodity derivatives[J]. Review of Financial Studies, 2009, 22(11):4423-4461.
[55] Khalfaoui R, Boutahar M, Boubaker H. Analyzing volatility spillovers and hedging between oil and stock markets:Evidence from wavelet analysis[J]. Energy Economics, 2015, 49:540-549.
[56] Boubaker H, Raza S A. A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets[J]. Energy Economics, 2017, 64:105-117.
[57] Ghoddusi H, Emamzadehfard S. Optimal hedging in the US natural gas market:The effect of maturity and cointegration[J]. Energy Economics, 2017, 63:92-105.
[58] Füss R, Mahringer S, Prokopczuk M. Electricity derivatives pricing with forward-looking information[J]. Journal of Economic Dynamics and Control, 2015, 58:34-57.
[59] 谭忠富, 蒲雷, 吴静, 等. 基于负荷率差别定价的分时输配电价优化模型[J]. 系统工程理论与实践, 2019, 39(11):2945-2952.Tan Z F, Pu L, Wu J, et al. Time-of-use transmission and distribution price optimization model based on differential loading rate[J]. Systems Engineering-Theory & Practice, 2019, 39(11):2945-2952.
[60] Adelman D, Uçkun C. Dynamic electricity pricing to smart homes[J]. Operations Research, 2019, 67(6):1520-1542.
[61] Tegnér M, Ernstsen R R, Skajaa A, et al. Risk-minimisation in electricity markets:Fixed price, unknown consumption[J]. Energy Economics, 2017, 68:423-439.
[62] Diebold F X, Yilmaz K. Better to give than to receive:Predictive directional measurement of volatility spillovers[J]. International Journal of Forecasting, 2012, 28(1):57-66.
[63] 魏巍贤, 林伯强. 国内外石油价格波动性及其互动关系[J]. 经济研究, 2007(12):130-141. Wei W X, Lin B Q. International and domestic and foreign oil price volatilities and its interrelationship[J]. Economic Research Journal, 2007(12):130-141.
[64] Hamao Y, Masulis R W, Ng V. Correlations in price changes and volatility across international stock markets[J]. Review of Financial Studies, 1990, 3(2):281-307.
[65] 余炜彬, 范英, 魏一鸣. 基于极值理论的原油市场价格风险VaR的研究[J]. 系统工程理论与实践, 2007, 27(8):14-22.Yu W B, Fan Y, Wei Y M. Price risk in crude oil markets:A VaR approach of EVT[J]. Systems Engineering-Theory & Practice, 2007, 27(8):14-22.
[66] Liu T, Gong X. Analyzing time-varying volatility spillovers between the crude oil markets using a new method[J]. Energy Economics, 2020, 87:104711.
[67] Geng J B, Ji Q, Fan Y. The relationship between regional natural gas markets and crude oil markets from a multi-scale nonlinear Granger causality perspective[J]. Energy Economics, 2017, 67:98-110.
[68] Xue Y, Huang Y. Study on the price co-movement among the Asia Pacific, European and Chinese coal markets-Based on the empirical analysis of MS-VEC model[J]. Applied Economics, 2017, 49(7):693-701.
[69] Batten J A, Brzeszczynski J, Ciner C, et al. Price and volatility spillovers across the international steam coal market[J]. Energy Economics, 2019, 77:119-138.
[70] Ciarreta A, Zarraga A. Analysis of mean and volatility price transmissions in the MIBEL and EPEX electricity spot markets[J]. Energy Journal, 2015, 36(4):41-60.
[71] 马超群, 佘升翔, 陈彦玲, 等. 中国上海燃料油期货市场信息溢出研究[J]. 管理科学学报, 2009(3):96-105.Ma C Q, She S X, Chen Y L, et al. Information spillovers towards fuel-oil futures market in Shanghai[J]. Journal of Management Sciences in China, 2009(3):96-105.
[72] Ramberg D J, Parsons J E. The weak tie between natural gas and oil prices[J]. Energy Journal, 2012, 33(2):13-35.
[73] Bunn D, Chevallier J, Le Pen Y, et al. Fundamental and financial influences on the co-movement of oil and gas prices[J]. Energy Journal, 2017, 38(2):201-228.
[74] Trujillo-Barrera A, Mallory M, Garcia P. Volatility spillovers in US crude oil, ethanol, and corn futures markets[J]. Journal of Agricultural and Resource Economics, 2012, 37(2):247-262.
[75] Nazlioglu S, Erdem C, Soytas U. Volatility spillover between oil and agricultural commodity markets[J]. Energy Economics, 2013, 36:658-665.
[76] Mensi W, Tiwari A, Bouri E, et al. The dependence structure across oil, wheat, and corn:A wavelet-based copula approach using implied volatility indexes[J]. Energy Economics, 2017, 66:122-139.
[77] Reboredo J C, Ugolini A. The impact of downward/upward oil price movements on metal prices[J]. Resources Policy, 2016, 49:129-141.
[78] Ji Q, Fan Y. How does oil price volatility affect non-energy commodity markets?[J]. Applied Energy, 2012, 89(1):273-280.
[79] Kang S H, McIver R, Yoon S M. Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets[J]. Energy Economics, 2017, 62:19-32.
[80] 张跃军, 魏一鸣. 化石能源市场对国际碳市场的动态影响实证研究[J]. 管理评论, 2010(6):34-41.Zhang Y J, Wei Y M. Interpreting the complex impact of fossil fuel markets on the EU ETS futures markets:An empirical evidence[J]. Management Review, 2010(6):34-41.
[81] Zhang Y, Sun Y. The dynamic volatility spillover between European carbon trading market and fossil energy market[J]. Journal of Cleaner Production, 2016, 112:2654-2663.
[82] Green R, Larsson K, Lunina V, et al. Cross-commodity news transmission and volatility spillovers in the German energy markets[J]. Journal of Banking & Finance, 2018, 95:231-243.
[83] Kilian L, Park C. The impact of oil price shocks on the US stock market[J]. International Economic Review, 2009, 50(4):1267-1287.
[84] Degiannakis S, Filis G, Arora V. Oil prices and stock markets:A review of the theory and empirical evidence[J]. Energy Journal, 2018, 39(5):85-130.
[85] 金洪飞, 金荦. 国际石油价格对中国股票市场的影响——基于行业数据的经验分析[J]. 金融研究, 2010(2):177-191. Jin H F, Jin L. The impact of international oil prices on China's stock market-An empirical analysis based on industry data[J]. Journal of Financial Research, 2010(2):177-191.
[86] 郭国峰, 郑召锋. 国际能源价格波动对中国股市的影响——基于计量模型的实证检验[J]. 中国工业经济, 2011(6):26-35. Guo G F, Zheng S F. Effect of China's stock market to the volatility of international energy-Based on empirical econometric model[J]. China Industrial Economics, 2011(6):26-35.
[87] Du L, He Y. Extreme risk spillovers between crude oil and stock markets[J]. Energy Economics, 2015, 51:455-465.
[88] Mensi W, Hammoudeh S, Shahzad S J H, et al. Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method[J]. Journal of Banking & Finance, 2017, 75:258-279.
[89] Al-Yahyaee K H, Mensi W, Sensoy A, et al. Energy, precious metals, and GCC stock markets:Is there any risk spillover?[J]. Pacific-Basin Finance Journal, 2019, 56:45-70.
[90] 朱小能, 袁经发. 去伪存真:油价趋势与股票市场——来自"一带一路" 35国的经验证据[J]. 金融研究, 2019(9):131-150.Zhu X N, Yuan J F. Oil price trends and the stock market:Empirical evidence from 35 countries along "the Belt and Road"[J]. Journal of Financial Research, 2019(9):131-150.
[91] 谢飞, 韩立岩. 对冲基金与国际资产价格的波动性传递[J]. 管理科学学报, 2010(11):94-103.Xie F, Han L Y. Volatility transfer among hedge funds and international asset prices[J]. Journal of Management Sciences in China, 2010(11):94-103.
[92] 姬强, 刘炳越, 范英. 国际油气价格与汇率动态相依关系研究:基于一种新的时变最优copula模型[J]. 中国管理科学, 2016, 24(10):1-9.Ji Q, Liu B Y, Fan Y. Dynamic dependence between international oil, natural gas and exchange market based on a new time-varying optimal copula model[J]. Chinese Journal of Management Science, 2016, 24(10):1-9.
[93] Yang Z, Zhou Y. Quantitative easing and volatility spillovers across countries and asset classes[J]. Management Science, 2017, 63(2):333-354.
[94] Ji Q, Bouri E, Roubaud D, et al. Information interdependence among energy, cryptocurrency and major commodity markets[J]. Energy Economics, 2019, 81:10420-1055.
[95] Enzensberger N, Fichtner W, Rentz O. Financing renewable energy projects via closed-end funds-A German case study[J]. Renewable Energy, 2003, 28(13):2023-2036.
[96] Tang A, Chiara N, Taylor J E. Financing renewable energy infrastructure:Formulation, pricing and impact of a carbon revenue bond[J]. Energy Policy, 2012, 45:691-703.
[97] Ng T H, Tao J Y. Bond financing for renewable energy in Asia[J]. Energy Policy, 2016, 95:509-517.
[98] Zhang M M, Zhou P, Zhou D Q. A real options model for renewable energy investment with application to solar photovoltaic power generation in China[J]. Energy Economics, 2016, 59:213-226.
[99] Kök G, Shang K, Yücel S. Impact of electricity pricing policies on renewable energy investments and carbon emissions[J]. Management Science, 2018, 64(1):131-148.
[100] Ragosa G, Warren P. Unpacking the determinants of cross-border private investment in renewable energy in developing countries[J]. Journal of Cleaner Production, 2019, 235:854-865.
[101] Zeng S, Jiang C, Ma C, et al. Investment efficiency of the new energy industry in China[J]. Energy Economics, 2018, 70:536-544.
[102] 李力, 朱磊, 范英. 可再生能源配额机制下电力投资最优序贯决策模型[J]. 管理评论, 2019(9):37-46.Li L, Zhu L, Fan Y. Optimum sequential investments model on renewable energy power investments under renewable portfolio standards[J]. Management Review, 2019(9):37-46.
[103] Berrada A, Loudiyi K, Zorkani I. Profitability, risk, and financial modeling of energy storage in residential and large scale applications[J]. Energy, 2017, 119:94-109.
[104] Miller L, Carriveau R. A review of energy storage financing-Learning from and partnering with the renewable energy industry[J]. Journal of Energy Storage, 2018, 19:311-319.
[105] 黄超, 达庆利. 电价不确定环境下发电商的最优投资时机及其概率分析[J]. 系统工程理论与实践, 2007, 27(6):107-112.Huang C, Da Q L. The optimal timing and probability studying of generation firm investment under power price uncertainty[J]. Systems Engineering-Theory & Practice, 2007, 27(6):107-112.
[106] Barroco J, Herrera M. Clearing barriers to project finance for renewable energy in developing countries:A philippines case study[J]. Energy Policy, 2019, 135:111008.
[107] 王素凤, 杨善林, 彭张林. 面向多重不确定性的发电商碳减排投资研究[J]. 管理科学学报, 2016, 19(2):31-41.Wang S F, Yang S L, Peng Z L. Research on the power producer's carbon abatement investment in view of multiple uncertainties[J]. Journal of Management Sciences in China, 2016, 19(2):31-41.
[108] 王怀芳, 袁国良. 要约收购下的股东权益保护——中国石化要约收购下属子公司案例研究[J]. 管理世界, 2007(2):120-128+133.Wang H F, Yuan G L. The protection of shareholders' rights and interests under the tender offer-A case study of Sinopec's tender offer of subsidiary companies[J]. Management World, 2007(2):120-128+133.
[109] Wan K M, Wong K F. Economic impact of political barriers to cross-border acquisitions:An empirical study of CNOOC's unsuccessful takeover of Unoca[J]. Journal of Corporate Finance, 2009, 15:447-468.
[110] Bakke T E, Mahmudi H, Fernando C S, et al. The causal effect of option pay on corporate risk management[J]. Journal of Financial Economics, 2016, 120:623-643.
[111] Atanasova C, Schwartz E S. Stranded fossil fuel reserves and firm value[R]. NBER Working Paper No. 26497, 2019.
[112] Gilje E P, Taillard J P. Does hedging affect firm value? Evidence from a natural experiment[J]. Review of Financial Studies, 2017, 30(12):4083-4132.
[113] Gilje E P, Taillard J P. Do Private firms invest differently than public firms? Taking cues from the natural gas industry[J]. Journal of Finance, 2016, 71(4):1733-1778.
[114] Gilje E P, Loutskina E, Murphy D. Drilling and debt[J] Journal of Finance, 2020, 75(3):1287-1325.
[115] Doshi H, Kumar P, Yerramilli V. Uncertainty, capital investment, and risk management[J]. Management Science, 2018, 64(12):5769-5786.
[116] David A. Exploration activity, long-run decisions, and the risk premium in energy futures[J]. Review of Financial Studies, 2019, 32(4):1536-1572.
[117] Michalak A, Nawrocki T L. Comparative analysis of the cost of equity of hard coal mining enterprises an international perspective[J]. Gospodarka Surowcami Mineralnymi-Mineral Resources Management, 2015, 31:49-71.
[118] Jonek-Kowalska I. How do turbulent sectoral conditions sector influence the value of coal mining enterprises? Perspectives from the Central-Eastern Europe coal mining industry[J]. Resources Policy, 2018, 55:103-112.
[119] Thiam D R. An energy pricing scheme for the diffusion of decentralized renewable technology investment in developing countries[J]. Energy Policy, 2011, 39:4284-4297.
[120] Shrimali G, Nelson D, Goel S, et al. Renewable deployment in India:Financing costs and implications for policy[J]. Energy Policy, 2013, 62:28-43.
[121] Gupta K. Do economic and societal factors influence the financial performance of alternative energy firms[J]. Energy Economics, 2017, 65:172-182.
[122] 刘正阳, 王金鑫, 乔晗, 等. 商业模式对企业绩效的影响探究——基于新能源上市企业数据[J]. 管理评论, 2019, 31(7):264-273. Liu Z Y, Wang J X, Qiao H, et al. The influence of business model on enterprise performance:Based on the data of listed new energy enterprises[J]. Management Review, 2019, 31(7):264-273.
[123] 马秋君, 彭明雪. 我国电力行业上市公司资本结构特征及优化分析[J]. 经济与管理研究, 2007(10):57-62. Ma Q J, Peng M X. The capital structure characteristics and optimization analysis of listed companies in China's electric power industry[J]. Research on Economics and Management, 2007(10):57-62.
[124] 李永来. 市场化改革与电力行业效率:基于DEA的电力行业上市公司分析[J]. 当代经济科学, 2009(1):65-70+132.Li Y L. Market-oriented reform and electric industry efficiency:Based on the DEA research of listed company[J]. Modern Economic Science, 2009(1):65-70+132.
[125] Reinartz S J, Schmid T. Production flexibility, product markets, and capital structure decisions[J]. Review of Financial Studies, 2016, 29(6):1501-1548.
[126] 郭剑锋, 姬强. 大数据时代的能源金融[J]. 中国科学院院刊, 2014(6):44-45. Guo J F, Ji Q. Energy finance of big data era[J]. Bulletin of Chinese Academy of Sciences, 2014(6):44-45.
[127] Elshendy M, Colladon A F, Battistoni E, et al. Using four different online media sources to forecast the crude oil price[J]. Journal of Information Science, 2018, 44(3):408-421.
[128] Zhao L T, Liu L N, Wang Z J, et al. Forecasting oil price volatility in the era of big data:A text mining for VaR approach[J]. Sustainability, 2019, 11(14):3892.
[129] Li X, Shang W, Wang S. Text-based crude oil price forecasting:A deep learning approach[J]. International Journal of Forecasting, 2019, 35(4):1548-1560.
[130] Moshiri S, Foroutan F. Forecasting nonlinear crude oil futures prices[J]. Energy Journal, 2006, 27(4):81-95.
[131] 王珏, 齐琛, 李明芳. 基于SSA-ELM的大宗商品价格预测研究[J]. 系统工程理论与实践, 2017, 37(8):2004-2014. Wang J, Qi C, Li M F. Prediction of commodity prices based on SSA-ELM[J]. Systems Engineering-Theory & Practice, 2017, 37(8):2004-2014.
[132] Cen Z, Wang J. Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer[J]. Energy, 2019, 169:160-171.
[133] Lago J, De Ridder F, Vrancx P, et al. Forecasting day-ahead electricity prices in Europe:The importance of considering market integration[J]. Applied Energy, 2018, 211:890-903.
[134] Peng L, Liu S, Liu R, et al. Effective long short-term memory with differential evolution algorithm for electricity price prediction[J]. Energy, 2018, 162:1301-1314.
[135] Zhang X, Wang J, Gao Y. A hybrid short-term electricity price forecasting framework:Cuckoo search-based feature selection with singular spectrum analysis and SVM[J]. Energy Economics, 2019, 81:899-913.
[136] Belyi A V. Why is the oil price not about equilibrium?:An economic sociology account of petroleum markets[J]. Energy Policy, 2016, 96:45-49.
[137] Lobova S V, Ragulina J V, Bogoviz A V, et al. Energy security performance:A dataset on the member countries of the Commonwealth of Independent States, 2000-2014[J]. Data in Brief, 2019, 26:104450.
[138] Ji Q, Zhang H Y, Zhang D. The impact of OPEC on East Asian oil import security:A multidimensional analysis[J]. Energy Policy, 2019, 126:99-107.