Ilias Tsiakas
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Ilias Tsiakas & Jiahan Li & Haibin Zhang, 2020.
"Equity Premium Prediction and the State of the Economy,"
Working Paper series
20-16, Rimini Centre for Economic Analysis.
- Tsiakas, Ilias & Li, Jiahan & Zhang, Haibin, 2020. "Equity premium prediction and the state of the economy," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 75-95.
Cited by:
- Dai, Zhifeng & Chang, Xiaoming, 2021. "Forecasting stock market volatility: Can the risk aversion measure exert an important role?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
- Manuela Pedio, 2021. "Option-Implied Network Measures of Tail Contagion and Stock Return Predictability," BAFFI CAREFIN Working Papers 21154, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- Xu, Yongan & Liang, Chao & Wang, Jianqiong, 2023. "Financial stress and returns predictability: Fresh evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
- João F. Caldeira & Rangan Gupta & Hudson S. Torrent, 2020.
"Forecasting U.S. Aggregate Stock Market Excess Return: Do Functional Data Analysis Add Economic Value?,"
Mathematics, MDPI, vol. 8(11), pages 1-16, November.
- Joao F. Caldeira & Rangan Gupta & Hudson S. Torrent, 2020. "Forecasting U.S. Aggregate Stock Market Excess Return: Do Functional Data Analysis Add Economic Value?," Working Papers 202087, University of Pretoria, Department of Economics.
- Ed-Dafali, Slimane & Patel, Ritesh & Iqbal, Najaf, 2023. "A bibliometric review of dividend policy literature," Research in International Business and Finance, Elsevier, vol. 65(C).
- Qicheng Zhao & Zhouwei Wang & Yuping Song, 2024. "Systematic Research on Multi-dimensional and Multiple Correlation Contagion Networks of Extreme Risk in China’s Banking Industry," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1137-1162, August.
- Pardo-Jaramillo, Sergio & Muñoz-Villamizar, Andrés & Gomez-Gonzalez, Jose E., 2023. "Unveiling the influence of COVID-19 on the online retail market: A comprehensive exploration," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
- Alexandridis, Antonios K. & Apergis, Iraklis & Panopoulou, Ekaterini & Voukelatos, Nikolaos, 2023. "Equity premium prediction: The role of information from the options market," Journal of Financial Markets, Elsevier, vol. 64(C).
- Zhao, Albert Bo & Cheng, Tingting, 2022. "Stock return prediction: Stacking a variety of models," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 288-317.
- Xu, Yongan & Liang, Chao & Li, Yan & Huynh, Toan L.D., 2022. "News sentiment and stock return: Evidence from managers’ news coverages," Finance Research Letters, Elsevier, vol. 48(C).
- Jiahan Li & Ilias Tsiakas, 2016.
"Equity Premium Prediction: The Role of Economic and Statistical Constraints,"
Working Paper series
16-25, Rimini Centre for Economic Analysis.
- Li, Jiahan & Tsiakas, Ilias, 2017. "Equity premium prediction: The role of economic and statistical constraints," Journal of Financial Markets, Elsevier, vol. 36(C), pages 56-75.
Cited by:
- Smith, Simon C., 2017. "Equity premium estimates from economic fundamentals under structural breaks," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 49-61.
- Xing, Li-Min & Zhang, Yue-Jun, 2022. "Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?," Energy Economics, Elsevier, vol. 110(C).
- Zhang, Yaojie & Wang, Yudong, 2023. "Forecasting crude oil futures market returns: A principal component analysis combination approach," International Journal of Forecasting, Elsevier, vol. 39(2), pages 659-673.
- Wen, Zhuzhu & Gong, Xu & Ma, Diandian & Xu, Yahua, 2021. "Intraday momentum and return predictability: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 95(C), pages 374-384.
- Madhavi Latha Challa & Venkataramanaiah Malepati & Siva Nageswara Rao Kolusu, 2020. "S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-19, December.
- Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
- Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
- Yin, Anwen, 2020. "Equity premium prediction and optimal portfolio decision with Bagging," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
- Tian, Guangning & Peng, Yuchao & Meng, Yuhao, 2023. "Forecasting crude oil prices in the COVID-19 era: Can machine learn better?," Energy Economics, Elsevier, vol. 125(C).
- Xianfeng Hao & Yudong Wang, 2023. "Forecasting the stock risk premium: A new statistical constraint," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1805-1822, November.
- Yanhui Chen & Ailing Feng & Shun Chen & Jackson Jinhong Mi, 2024. "Forecasting the containerized freight index with AIS data: A novel information combination method based on gray incidence analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 802-815, April.
- Ma, Feng & Lu, Xinjie & Liu, Jia & Huang, Dengshi, 2022. "Macroeconomic attention and stock market return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
- Wang, Yunqi & Zhou, Ti, 2023. "Out-of-sample equity premium prediction: The role of option-implied constraints," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 199-226.
- Wang, Yudong & Liu, Li & Ma, Feng & Diao, Xundi, 2018. "Momentum of return predictability," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 141-156.
- Zhang, Yaojie & Wei, Yu & Zhang, Yi & Jin, Daxiang, 2019. "Forecasting oil price volatility: Forecast combination versus shrinkage method," Energy Economics, Elsevier, vol. 80(C), pages 423-433.
- Kartikay Gupta & Niladri Chatterjee, 2021. "Stocks Recommendation from Large Datasets Using Important Company and Economic Indicators," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 667-689, December.
- Dai, Zhifeng & Zhu, Huan, 2021. "Indicator selection and stock return predictability," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Lin, Qi & Lin, Xi, 2021. "Are the profitability and investment factors valid ICAPM risk factors? Pre-1963 evidence," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
- Procasky, William J. & Yin, Anwen, 2023. "The impact of COVID-19 on the relative market efficiency and forecasting ability of credit derivative and equity markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Dai, Zhifeng & Zhou, Huiting & Kang, Jie & Wen, Fenghua, 2021. "The skewness of oil price returns and equity premium predictability," Energy Economics, Elsevier, vol. 94(C).
- Anwen Yin, 2022. "Does the kitchen‐sink model work forecasting the equity premium?," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 223-247, March.
- He, Mengxi & Zhang, Yaojie, 2022. "Climate policy uncertainty and the stock return predictability of the oil industry," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
- Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil market volatility: A comprehensive look at uncertainty variables," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1022-1041.
- Yi, Yongsheng & He, Mengxi & Zhang, Yaojie, 2022. "Out-of-sample prediction of Bitcoin realized volatility: Do other cryptocurrencies help?," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
- Yaojie Zhang & Yudong Wang & Feng Ma & Yu Wei, 2022. "To jump or not to jump: momentum of jumps in crude oil price volatility prediction," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-31, December.
- Yu, Jing-Rung & Paul Chiou, Wan-Jiun & Lee, Wen-Yi & Lin, Shun-Ji, 2020. "Portfolio models with return forecasting and transaction costs," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 118-130.
- Qianjie Geng & Xianfeng Hao & Yudong Wang, 2024. "Forecasting the volatility of crude oil futures: A time‐dependent weighted least squares with regularization constraint," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 309-325, March.
- Qi Lin, 2020. "Idiosyncratic momentum and the cross‐section of stock returns: Further evidence," European Financial Management, European Financial Management Association, vol. 26(3), pages 579-627, June.
- Shamsi Zamenjani, Azam, 2021. "Do financial variables help predict the conditional distribution of the market portfolio?," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 327-345.
- Yaojie Zhang & Yudong Wang & Feng Ma, 2021. "Forecasting US stock market volatility: How to use international volatility information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 733-768, August.
- Anibal Emiliano Da Silva Neto & Jesús Gonzalo & Jean‐Yves Pitarakis, 2021.
"Uncovering Regimes in Out of Sample Forecast Errors from Predictive Regressions,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 713-741, June.
- Pitarakis, Jean-Yves, 2020. "Uncovering regimes in out of sample forecast errors from predictive regressions," UC3M Working papers. Economics 31555, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Zhifeng Dai & Tingyu Li & Mi Yang, 2022. "Forecasting stock return volatility: The role of shrinkage approaches in a data‐rich environment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 980-996, August.
- Li Liu & Zhiyuan Pan & Yudong Wang, 2022. "Shrinking return forecasts," The Financial Review, Eastern Finance Association, vol. 57(3), pages 641-661, August.
- Liu, Guangqiang & Guo, Xiaozhu, 2022. "Forecasting stock market volatility using commodity futures volatility information," Resources Policy, Elsevier, vol. 75(C).
- Lu, Xinjie & Ma, Feng & Wang, Jiqian & Zhu, Bo, 2021. "Oil shocks and stock market volatility: New evidence," Energy Economics, Elsevier, vol. 103(C).
- Souropanis, Ioannis & Vivian, Andrew, 2023. "Forecasting realized volatility with wavelet decomposition," Journal of Empirical Finance, Elsevier, vol. 74(C).
- Alexandridis, Antonios K. & Apergis, Iraklis & Panopoulou, Ekaterini & Voukelatos, Nikolaos, 2023. "Equity premium prediction: The role of information from the options market," Journal of Financial Markets, Elsevier, vol. 64(C).
- Anwen Yin, 2019. "Equity Premium Prediction with Structural Breaks: A Two-Stage Forecast Combination Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(12), pages 1-50, December.
- Arnaud Dufays & Zhuo Li & Jeroen V.K. Rombouts & Yong Song, 2021. "Sparse change‐point VAR models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 703-727, September.
- Jiqian Wang & Feng Ma & Elie Bouri & Yangli Guo, 2023. "Which factors drive Bitcoin volatility: Macroeconomic, technical, or both?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 970-988, July.
- Wang, Yudong & Hao, Xianfeng & Wu, Chongfeng, 2021. "Forecasting stock returns: A time-dependent weighted least squares approach," Journal of Financial Markets, Elsevier, vol. 53(C).
- Khan, Faridoon & Muhammadullah, Sara & Sharif, Arshian & Lee, Chien-Chiang, 2024. "The role of green energy stock market in forecasting China's crude oil market: An application of IIS approach and sparse regression models," Energy Economics, Elsevier, vol. 130(C).
- Kartikay Gupta & Niladri Chatterjee, 2019. "Top performing stocks recommendation strategy for portfolio," Papers 1901.11013, arXiv.org, revised Aug 2019.
- Ilias Tsiakas & Jiahan Li & Haibin Zhang, 2020.
"Equity Premium Prediction and the State of the Economy,"
Working Paper series
20-16, Rimini Centre for Economic Analysis.
- Tsiakas, Ilias & Li, Jiahan & Zhang, Haibin, 2020. "Equity premium prediction and the state of the economy," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 75-95.
- Anwen Yin, 2024. "Predictive model averaging with parameter instability and heteroskedasticity," Bulletin of Economic Research, Wiley Blackwell, vol. 76(2), pages 418-442, April.
- Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
- Yin, Anwen, 2019. "Out-of-sample equity premium prediction in the presence of structural breaks," International Review of Financial Analysis, Elsevier, vol. 65(C).
- Zhang, Yaojie & Wei, Yu & Ma, Feng & Yi, Yongsheng, 2019. "Economic constraints and stock return predictability: A new approach," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 1-9.
- Dai, Zhifeng & Kang, Jie & Wen, Fenghua, 2021. "Predicting stock returns: A risk measurement perspective," International Review of Financial Analysis, Elsevier, vol. 74(C).
- William J. Procasky & Anwen Yin, 2022. "Forecasting high‐yield equity and CDS index returns: Does observed cross‐market informational flow have predictive power?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1466-1490, August.
- A. Marcel Oestreich & Ilias Tsiakas, 2015.
"Carbon Emissions and Stock Returns: Evidence from the EU Emissions Trading Scheme,"
Working Paper series
15-18, Rimini Centre for Economic Analysis.
- Oestreich, A. Marcel & Tsiakas, Ilias, 2015. "Carbon emissions and stock returns: Evidence from the EU Emissions Trading Scheme," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 294-308.
Cited by:
- Afees A. Salisu & Ahamuefula E. Ogbonna & Elie Bouri & Rangan Gupta, 2024. "Climate Risks and Prediction of Sectoral REITs Volatility: International Evidence," Working Papers 202434, University of Pretoria, Department of Economics.
- Yongrok Choi & Hyoung Seok Lee, 2016. "Are Emissions Trading Policies Sustainable? A Study of the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 8(11), pages 1-13, October.
- Koch, Nicolas & Basse Mama, Houdou, 2019. "Does the EU Emissions Trading System induce investment leakage? Evidence from German multinational firms," Energy Economics, Elsevier, vol. 81(C), pages 479-492.
- Ricardo Gimeno & Clara I. González, 2022. "The role of a green factor in stock prices. When Fama & French go green," Working Papers 2207, Banco de España.
- Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2024. "Credit default swaps and corporate carbon emissions in Japan," Energy Economics, Elsevier, vol. 133(C).
- Weiguang Chen & Qing Guo, 2017. "Assessing the Effect of Carbon Tariffs on International Trade and Emission Reduction of China’s Industrial Products under the Background of Global Climate Governance," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
- Fang, Sheng & Lu, Xinsheng & Li, Jianfeng & Qu, Ling, 2018. "Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 551-566.
- Linghong Zhang & Bowen Xue & Xiyu Liu, 2018. "Carbon Emission Reduction with Regard to Retailer’s Fairness Concern and Subsidies," Sustainability, MDPI, vol. 10(4), pages 1-28, April.
- Sakariyahu, Rilwan & Lawal, Rodiat & Kwansa, Nana Abena & Ahmed, Ammar & Adamolekun, Gbenga, 2023. "Emissions trading scheme participation and firms’ cash holdings," Finance Research Letters, Elsevier, vol. 58(PC).
- Lado-Sestayo, Rubén & De Llano-Paz, Fernando & Vivel-Búa, Milagros & Martínez-Salgueiro, Andrea, 2023. "Commodity exposure in the eurozone: How EU energy security is conditioned by the Euro," Energy, Elsevier, vol. 277(C).
- Pilar Gargallo & Luis Lample & Jesús A. Miguel & Manuel Salvador, 2021. "Co-Movements between Eu Ets and the Energy Markets: A Var-Dcc-Garch Approach," Mathematics, MDPI, vol. 9(15), pages 1-36, July.
- Yoshihiro Hamaguchi, 2022. "Effect of environmental tax evasion on pollution havens within the EU’s dual regulation system," SN Business & Economics, Springer, vol. 2(12), pages 1-25, December.
- Yinpeng Zhang & Zhixin Liu & Yingying Xu, 2018. "Carbon price volatility: The case of China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
- Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
- Xi Jin & Bin Zou & Chan Wang & Kaifeng Rao & Xiaowen Tang, 2019. "Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
- Laurent Millischer & Tatiana Evdokimova & Oscar Fernandez, 2022.
"The Carrot and the Stock: In Search of Stock-Market Incentives for Decarbonization,"
IMF Working Papers
2022/231, International Monetary Fund.
- Millischer, Laurent & Evdokimova, Tatiana & Fernandez, Oscar, 2023. "The carrot and the stock: In search of stock-market incentives for decarbonization," Energy Economics, Elsevier, vol. 120(C).
- Minggang Wang & Chenyu Hua & Hua Xu, 2022. "Dynamic Linkages among Carbon, Energy and Financial Markets: Multiplex Recurrence Network Approach," Mathematics, MDPI, vol. 10(11), pages 1-23, May.
- Suryadeepto Nag & Siddhartha P. Chakrabarty & Sankarshan Basu, 2021. "Single Event Transition Risk: A Measure for Long Term Carbon Exposure," Papers 2107.06518, arXiv.org, revised May 2022.
- Niu, Xiaoyan & Zhang, Yuwen & Li, Baoqi & Chen, Zhenling & Ni, Guohua & Lyu, Ning, 2024. "How does carbon emission trading scheme affect enterprise market value? A roadmap towards natural resources sustainability," Resources Policy, Elsevier, vol. 88(C).
- Yang, Ming-Yuan & Chen, Zhanghangjian & Liang, Zongzheng & Li, Sai-Ping, 2023. "Dynamic and asymmetric connectedness in the global “Carbon-Energy-Stock” system under shocks from exogenous events," Journal of Commodity Markets, Elsevier, vol. 32(C).
- Homroy, Swarnodeep, 2023. "GHG emissions and firm performance: The role of CEO gender socialization," Journal of Banking & Finance, Elsevier, vol. 148(C).
- Gazi Salah Uddin & Jose Areola Hernandez & Syed Jawad Hussain Shahzad & Axel Hedström, 2018.
"Multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets,"
Post-Print
hal-01996386, HAL.
- Uddin, Gazi Salah & Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Hedström, Axel, 2018. "Multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets," Energy Economics, Elsevier, vol. 71(C), pages 35-46.
- Zhang, Dongyang & Kong, Qunxi & Wang, Yizhi & Vigne, Samuel A., 2023. "Exquisite workmanship through net-zero emissions? The effects of carbon emission trading policy on firms' export product quality," Energy Economics, Elsevier, vol. 123(C).
- Pawel Witkowski & Adam Adamczyk & Slawomir Franek, 2021. "Does Carbon Risk Matter? Evidence of Carbon Premium in EU Energy-Intensive Companies," Energies, MDPI, vol. 14(7), pages 1-18, March.
- Christos Karydas & Anastasios Xepapadeas, 2019. "Climate change risks: pricing and portfolio allocation," CER-ETH Economics working paper series 19/327, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
- Tan, Ruipeng & Cai, Qijun & Pan, Lulu, 2024. "Faking for fortune: Emissions trading schemes and corporate greenwashing in China," Energy Economics, Elsevier, vol. 130(C).
- Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila, 2024. "Has the EU Emissions Trading System Worked Properly?," Energies, MDPI, vol. 17(15), pages 1-15, July.
- Yu, Pei & Hao, Ruixue & Sun, Yongping, 2023. "How do the designs of emission trading system affect the value of covered firms—A quasi-natural experiment based on China," Energy Economics, Elsevier, vol. 126(C).
- Reboredo, Juan C. & Ugolini, Andrea, 2022. "Climate transition risk, profitability and stock prices," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Zhu, Bo & Zhao, Yue, 2022. "Carbon risk and the cost of bank loans: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
- Liu, Yong-Jun & Yang, Guo-Sen & Zhang, Wei-Guo, 2024. "A novel regret-rejoice cross-efficiency approach for energy stock portfolio optimization," Omega, Elsevier, vol. 126(C).
- Fuquan Zhao & Feiqi Liu & Han Hao & Zongwei Liu, 2020. "Carbon Emission Reduction Strategy for Energy Users in China," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
- Zhang, Xuehui & Tan, Jianhua & Chan, Kam C., 2021. "Environmental law enforcement as external monitoring: Evidence from the impact of an environmental inspection program on firm-level stock price crash risk," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 21-31.
- Wen, Fenghua & Wang, Kangsheng & Zeng, Aiqing, 2024. "Return spillover across the carbon market and financial markets: A quantile-based approach," Research in International Business and Finance, Elsevier, vol. 69(C).
- Ding, Xin & Li, Jingshan & Song, Tiantian & Ding, Chenyang & Tan, Wenhao, 2023. "Does carbon emission of firms aggravate the risk of financial distress? Evidence from China," Finance Research Letters, Elsevier, vol. 56(C).
- Wen-Hsien Tsai, 2018. "Carbon Taxes and Carbon Right Costs Analysis for the Tire Industry," Energies, MDPI, vol. 11(8), pages 1-22, August.
- Yue Dai & Nan Li & Rongrong Gu & Xiaodong Zhu, 2018. "Can China’s Carbon Emissions Trading Rights Mechanism Transform its Manufacturing Industry? Based on the Perspective of Enterprise Behavior," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
- Fortune Ganda, 2018. "The influence of carbon emissions disclosure on company financial value in an emerging economy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(4), pages 1723-1738, August.
- Isabel Garcia-Herrero & Maria Margallo & Jara Laso & Raquel Onandía & Angel Irabien & Ruben Aldaco, 2017. "Measuring the Vulnerability of an Energy Intensive Sector to the EU ETS under a Life Cycle Approach: The Case of the Chlor-Alkali Industry," Sustainability, MDPI, vol. 9(5), pages 1-23, May.
- Xu, Lin & Wu, Chenyang & Qin, Quande & Lin, Xiaoying, 2022. "Spillover effects and nonlinear correlations between carbon emissions and stock markets: An empirical analysis of China's carbon-intensive industries," Energy Economics, Elsevier, vol. 111(C).
- Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
- Rong Guan & Haitao Zheng & Jie Hu & Qi Fang & Ruoen Ren, 2017. "The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
- Razzaq, Asif & Sharif, Arshian & An, Hui & Aloui, Chaker, 2022. "Testing the directional predictability between carbon trading and sectoral stocks in China: New insights using cross-quantilogram and rolling window causality approaches," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
- Yinpeng Zhang & Zhixin Liu & Xueying Yu, 2017. "The Diversification Benefits of Including Carbon Assets in Financial Portfolios," Sustainability, MDPI, vol. 9(3), pages 1-13, March.
- Miaomiao Niu & Xianchun Tan & Jianxin Guo & Guohao Li & Chen Huang, 2021. "Driving Factors and Growth Potential of Provincial Carbon Productivity in China," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
- Chu, Baoju & Dong, Yizhe & Liu, Yaorong & Ma, Diandian & Wang, Tianju, 2024. "Does China's emission trading scheme affect corporate financial performance: Evidence from a quasi-natural experiment," Economic Modelling, Elsevier, vol. 132(C).
- Wenwen Zhang & Shichun Xu & Zhengxia He & Basil Sharp & Bin Zhao & Shuxiao Wang, 2019. "Impacts of U.S. Carbon Tariffs on China’s Foreign Trade and Social Welfare," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
- Thomas Cauthorn & Christian Klein & Leonard Remme & Bernhard Zwergel, 2023. "Portfolio benefits of taxonomy orientated and renewable European electric utilities," Journal of Asset Management, Palgrave Macmillan, vol. 24(7), pages 558-571, December.
- Theodoros Syriopoulos & Efthymios Roumpis & Michael Tsatsaronis, 2023. "Hedging Strategies in Carbon Emission Price Dynamics: Implications for Shipping Markets," Energies, MDPI, vol. 16(17), pages 1-27, September.
- Drudi, Francesco & Moench, Emanuel & Holthausen, Cornelia & Weber, Pierre-François & Ferrucci, Gianluigi & Setzer, Ralph & Adao, Bernardino & Dées, Stéphane & Alogoskoufis, Spyros & Téllez, Mar Delgad, 2021. "Climate change and monetary policy in the euro area," Occasional Paper Series 271, European Central Bank.
- Feng Feng & Linlin Peng, 2019. "Is There Any Difference in the Effect of Different R and D Sources on Carbon Intensity in China?," Sustainability, MDPI, vol. 11(6), pages 1-12, March.
- Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2022. "Carbon credit futures as an emerging asset: Hedging, diversification and downside risks," Energy Economics, Elsevier, vol. 113(C).
- Vlad-Cosmin Bulai & Alexandra Horobet & Oana Cristina Popovici & Lucian Belascu & Sofia Adriana Dumitrescu, 2021. "A VaR-Based Methodology for Assessing Carbon Price Risk across European Union Economic Sectors," Energies, MDPI, vol. 14(24), pages 1-21, December.
- Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
- Li, Changsheng & Qi, Yaping & Liu, Shaohui & Wang, Xu, 2022. "Do carbon ETS pilots improve cities' green total factor productivity? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 108(C).
- Shihong Zeng & Yan Xu & Liming Wang & Jiuying Chen & Qirong Li, 2016. "Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020," Energies, MDPI, vol. 9(5), pages 1-18, May.
- Yan, Kai & Zhang, Wei & Shen, Dehua, 2020. "Stylized facts of the carbon emission market in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
- Aharon, David Y. & Baig, Ahmed S. & Jacoby, Gady & Wu, Zhenyu, 2024. "Greenhouse gas emissions and the stability of equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
- Yinpeng Liu & Xiangyun Gao & Jianfeng Guo, 2018. "Network Features of the EU Carbon Trade System: An Evolutionary Perspective," Energies, MDPI, vol. 11(6), pages 1-16, June.
- Yanhong Feng & Shuanglian Chen & Pierre Failler, 2020. "Productivity Effect Evaluation on Market-Type Environmental Regulation: A Case Study of SO 2 Emission Trading Pilot in China," IJERPH, MDPI, vol. 17(21), pages 1-27, October.
- Faccini, Renato & Matin, Rastin & Skiadopoulos, George, 2023. "Dissecting climate risks: Are they reflected in stock prices?," Journal of Banking & Finance, Elsevier, vol. 155(C).
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CAMA Working Papers
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84140, London School of Economics and Political Science, LSE Library.
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- Mueller, Philippe & Stathopoulos, Andreas & Vedolin, Andrea, 2013. "International correlation risk," LSE Research Online Documents on Economics 43087, London School of Economics and Political Science, LSE Library.
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- Bruno Thiago Tomio, 2019. "Carry trade in developing and developed countries : a Granger-causality analysis with the Toda-Yamamo to approach," Post-Print halshs-03131073, HAL.
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- Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2020.
"A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage,"
Economic Modelling, Elsevier, vol. 85(C), pages 57-73.
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"Carry trades and commodity risk factors,"
Journal of International Money and Finance, Elsevier, vol. 96(C), pages 121-129.
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- Bruno Thiago Tomio, 2020. "Carry trade in developing and developed countries: A Granger causality analysis with the Toda-Yamamoto appr," Economics Bulletin, AccessEcon, vol. 40(3), pages 2154-2164.
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"Retaining Alpha: The Effect of Trade Size and Rebalancing Frequency on FX Strategy Returns,"
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- Emilio Colombo & Gianfranco Forte & Roberto Rossignoli, 2017.
"Carry trade returns with Support Vector Machines,"
DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo
dis1705, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
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"The pricing of unexpected volatility in the currency market,"
The European Journal of Finance, Taylor & Francis Journals, vol. 29(17), pages 2032-2046, November.
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"Attention to the Tail(s): Global Financial Conditions and Exchange Rate Risks,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(3), pages 487-519, September.
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Cambridge Working Papers in Economics
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"Equity Premium Prediction: The Role of Economic and Statistical Constraints,"
Working Paper series
16-25, Rimini Centre for Economic Analysis.
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"Model instability in predictive exchange rate regressions,"
Department of Economics Working Paper Series
276, WU Vienna University of Economics and Business.
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- Niko Hauzenberger & Florian Huber, 2018. "Model instability in predictive exchange rate regressions," Papers 1811.08818, arXiv.org, revised Dec 2018.
- Niko Hauzenberger & Florian Huber, 2020. "Model instability in predictive exchange rate regressions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 168-186, March.
- Hauzenberger, Niko & Huber, Florian, 2018. "Model instability in predictive exchange rate regressions," Working Papers in Economics 2018-8, University of Salzburg.
- Emilio Colombo & Matteo Pelagatti, 2019.
"Statistical Learning and Exchange Rate Forecasting,"
DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo
dis1901, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
- Colombo, Emilio & Pelagatti, Matteo, 2020. "Statistical learning and exchange rate forecasting," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1260-1289.
- Tsiakas, Ilias & Zhang, Haibin, 2021. "Economic fundamentals and the long-run correlation between exchange rates and commodities," Global Finance Journal, Elsevier, vol. 49(C).
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- Faias, José Afonso, 2023. "Predicting the equity risk premium using the smooth cross-sectional tail risk: The importance of correlation," Journal of Financial Markets, Elsevier, vol. 63(C).
- Zhang, Yaojie & Wang, Yudong, 2023. "Forecasting crude oil futures market returns: A principal component analysis combination approach," International Journal of Forecasting, Elsevier, vol. 39(2), pages 659-673.
- Joscha Beckmann & Rainer Schüssler, 2014. "Forecasting Exchange Rates under Model and Parameter Uncertainty," CQE Working Papers 3214, Center for Quantitative Economics (CQE), University of Muenster.
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- Ciner, Cetin, 2019. "Do industry returns predict the stock market? A reprise using the random forest," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 152-158.
- Xue Jiang & Liyan Han & Libo Yin, 2019. "Can skewness of the futures‐spot basis predict currency spot returns?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1435-1449, November.
- Beckmann, Joscha & Schüssler, Rainer, 2016. "Forecasting exchange rates under parameter and model uncertainty," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 267-288.
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"On the Sources of Uncertainty in Exchange Rate Predictability,"
MPRA Paper
58956, University Library of Munich, Germany.
- Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," Working Papers 2014_16, Business School - Economics, University of Glasgow.
- Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," SIRE Discussion Papers 2015-24, Scottish Institute for Research in Economics (SIRE).
- Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2018. "On The Sources Of Uncertainty In Exchange Rate Predictability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(1), pages 329-357, February.
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- Emilio Colombo & Gianfranco Forte & Roberto Rossignoli, 2017.
"Carry trade returns with Support Vector Machines,"
DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo
dis1705, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
- Emilio Colombo & Gianfranco Forte & Roberto Rossignoli, 2019. "Carry Trade Returns with Support Vector Machines," International Review of Finance, International Review of Finance Ltd., vol. 19(3), pages 483-504, September.
- Ilias Tsiakas & Haibin Zhang, 2023. "On the Direction of Causality between Business and Financial Cycles," JRFM, MDPI, vol. 16(10), pages 1-26, September.
- Ren, Yu & Liang, Xuanxuan & Wang, Qin, 2021. "Short-term exchange rate forecasting: A panel combination approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
- Tomáš Bunčák, 2016. "Exchange Rates Forecasting: Can Jump Models Combined with Macroeconomic Fundamentals Help?," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 527-546.
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"Out of sample predictability in predictive regressions with many predictor candidates,"
UC3M Working papers. Economics
31554, Universidad Carlos III de Madrid. Departamento de EconomÃa.
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- Jesus Gonzalo & Jean-Yves Pitarakis, 2023. "Out of Sample Predictability in Predictive Regressions with Many Predictor Candidates," Papers 2302.02866, arXiv.org, revised Oct 2023.
- Schüssler, Rainer & Beckmann, Joscha & Koop, Gary & Korobilis, Dimitris, 2018.
"Exchange rate predictability and dynamic Bayesian learning,"
VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy
181523, Verein für Socialpolitik / German Economic Association.
- Beckmann, J & Koop, G & Korobilis, D & Schüssler, R, 2017. "Exchange rate predictability and dynamic Bayesian learning," Essex Finance Centre Working Papers 20781, University of Essex, Essex Business School.
- Joscha Beckmann & Gary Koop & Dimitris Korobilis & Rainer Alexander Schüssler, 2020. "Exchange rate predictability and dynamic Bayesian learning," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 410-421, June.
- Buncic, Daniel & Piras, Gion Donat, 2016.
"Heterogeneous agents, the financial crisis and exchange rate predictability,"
Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
- Buncic, Daniel & Piras, Gion Donat, 2014. "Heterogeneous Agents, the Financial Crisis and Exchange Rate Predictability," Economics Working Paper Series 1436, University of St. Gallen, School of Economics and Political Science, revised Oct 2015.
- Jamali, Ibrahim & Yamani, Ehab, 2019. "Out-of-sample exchange rate predictability in emerging markets: Fundamentals versus technical analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 241-263.
- Yaojie Zhang & Yudong Wang & Feng Ma & Yu Wei, 2022. "To jump or not to jump: momentum of jumps in crude oil price volatility prediction," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-31, December.
- Luiz Renato Lima & Lucas Lúcio Godeiro, 2023. "Equity‐premium prediction: Attention is all you need," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 105-122, January.
- Bernard Njindan Iyke & Sin-Yu Ho, 2017.
"The Real Exchange Rate, the Ghanaian Trade Balance, and the J-curve,"
Journal of African Business, Taylor & Francis Journals, vol. 18(3), pages 380-392, July.
- Njindan Iyke, Bernard & Ho, Sin-Yu, 2017. "The Real Exchange Rate, the Ghanaian Trade Balance, and the J-curve," MPRA Paper 78211, University Library of Munich, Germany.
- Niu, Zibo & Ma, Feng & Zhang, Hongwei, 2022. "The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 112(C).
- Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
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See citations under working paper version above.
- Ilias Tsiakas & Jiahan Li & Haibin Zhang, 2020. "Equity Premium Prediction and the State of the Economy," Working Paper series 20-16, Rimini Centre for Economic Analysis.
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See citations under working paper version above.
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"Foreign exchange risk and the predictability of carry trade returns,"
Journal of Banking & Finance, Elsevier, vol. 42(C), pages 302-313.
See citations under working paper version above.
- Gino Cenedese & Lucio Sarno & Ilias Tsiakas, 2014. "Foreign Exchange Risk and the Predictability of Carry Trade Returns," Working Paper series 02_14, Rimini Centre for Economic Analysis.
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See citations under working paper version above.
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Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 1-26, March.
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