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Hong Miao

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.

Articles

  1. Jian Yang & Zheng Li & Hong Miao, 2021. "Volatility spillovers in commodity futures markets: A network approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(12), pages 1959-1987, December.

    Cited by:

    1. Qi Xu & Yang Ye, 2023. "Commodity network and predictable returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1423-1449, October.
    2. Muneer Shaik & Mohd Ziaur Rehman, 2023. "The Dynamic Volatility Connectedness of Major Environmental, Social, and Governance (ESG) Stock Indices: Evidence Based on DCC-GARCH Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 231-246, March.
    3. Tongshuai Qiao & Liyan Han, 2023. "COVID‐19 and tail risk contagion across commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 242-272, February.
    4. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    5. Wu, You & Ren, Wenting & Wan, Jieru & Liu, Xiaoxue, 2023. "Time-frequency volatility connectedness between fossil energy and agricultural commodities: Comparing the COVID-19 pandemic with the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
    6. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    7. Chen, Ying & Zhu, Xuehong & Chen, Jinyu, 2022. "Spillovers and hedging effectiveness of non-ferrous metals and sub-sectoral clean energy stocks in time and frequency domain," Energy Economics, Elsevier, vol. 111(C).
    8. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.
    9. Mário Correia Fernandes & José Carlos Dias & João Pedro Vidal Nunes, 2024. "Performance comparison of alternative stochastic volatility models and its determinants in energy futures: COVID‐19 and Russia–Ukraine conflict features," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 343-383, March.

  2. Kokoszka, Piotr & Miao, Hong & Petersen, Alexander & Shang, Han Lin, 2019. "Forecasting of density functions with an application to cross-sectional and intraday returns," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1304-1317.

    Cited by:

    1. Won-Ki Seo, 2020. "Functional Principal Component Analysis for Cointegrated Functional Time Series," Papers 2011.12781, arXiv.org, revised Apr 2023.
    2. Karel Hron & Jitka Machalová & Alessandra Menafoglio, 2023. "Bivariate densities in Bayes spaces: orthogonal decomposition and spline representation," Statistical Papers, Springer, vol. 64(5), pages 1629-1667, October.
    3. Shang, Han Lin & Haberman, Steven & Xu, Ruofan, 2022. "Multi-population modelling and forecasting life-table death counts," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 239-253.
    4. Germ`a Coenders & N'uria Arimany Serrat, 2023. "Accounting statement analysis at industry level. A gentle introduction to the compositional approach," Papers 2305.16842, arXiv.org, revised Feb 2024.
    5. Petersen, Alexander & Zhang, Chao & Kokoszka, Piotr, 2022. "Modeling Probability Density Functions as Data Objects," Econometrics and Statistics, Elsevier, vol. 21(C), pages 159-178.
    6. Chao Zhang & Piotr Kokoszka & Alexander Petersen, 2022. "Wasserstein autoregressive models for density time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 30-52, January.

  3. Miao, Hong & Ramchander, Sanjay & Ryan, Patricia & Wang, Tianyang, 2018. "Default prediction models: The role of forward-looking measures of returns and volatility," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 146-162.

    Cited by:

    1. Muhammad Atif & Searat Ali, 2021. "Environmental, social and governance disclosure and default risk," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3937-3959, December.
    2. Dinh, Dung V. & Powell, Robert J. & Vo, Duc H., 2021. "Forecasting corporate financial distress in the Southeast Asian countries: A market-based approach," Journal of Asian Economics, Elsevier, vol. 74(C).
    3. Wang, Liyue & Yang, Liuyong, 2023. "Environmental, social and governance performance and credit risk: Moderating effect of corporate life cycle," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).

  4. Hong Miao & Sanjay Ramchander & Tianyang Wang & Jian Yang, 2018. "The impact of crude oil inventory announcements on prices: Evidence from derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 38-65, January.

    Cited by:

    1. Haiying Wang & Ying Yuan & Tianyang Wang, 2021. "The dynamics of cross‐boundary fire—Financial contagion between the oil and stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1655-1673, October.
    2. Seiji Harikae & James S. Dyer & Tianyang Wang, 2021. "Valuing Real Options in the Volatile Real World," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 171-189, January.
    3. Danish A. Alvi, 2018. "Application of Probabilistic Graphical Models in Forecasting Crude Oil Price," Papers 1804.10869, arXiv.org.
    4. Stanislav Anatolyev & Sergei Seleznev & Veronika Selezneva, 2021. "How does the financial market update beliefs about the real economy? Evidence from the oil market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 938-961, November.
    5. Jian Yang & Yinggang Zhou, 2020. "Return and volatility transmission between China's and international crude oil futures markets: A first look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 860-884, June.
    6. Stanislav Anatolyev & Sergei Seleznev & Veronika Selezneva, 2018. "Formation of Market Beliefs in the Oil Market," CERGE-EI Working Papers wp619, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    7. Hasan Dinçer & Serhat Yüksel & Fatih Pınarbaşı & Mehmet Ali Alhan, 2020. "Risky Financial Assets in Financial Integration and the Impacts of Derivatives on Banking Returns," World Scientific Book Chapters, in: Stéphane Goutte & Khaled Guesmi (ed.), Risk Factors and Contagion in Commodity Markets and Stocks Markets, chapter 6, pages 133-159, World Scientific Publishing Co. Pte. Ltd..
    8. Zhao, Jing, 2022. "Exploring the influence of the main factors on the crude oil price volatility: An analysis based on GARCH-MIDAS model with Lasso approach," Resources Policy, Elsevier, vol. 79(C).
    9. Arash Sioofy Khoojine & Mahboubeh Shadabfar & Yousef Edrisi Tabriz, 2022. "A Mutual Information-Based Network Autoregressive Model for Crude Oil Price Forecasting Using Open-High-Low-Close Prices," Mathematics, MDPI, vol. 10(17), pages 1-20, September.
    10. Butler, Sunil & Kokoszka, Piotr & Miao, Hong & Shang, Han Lin, 2021. "Neural network prediction of crude oil futures using B-splines," Energy Economics, Elsevier, vol. 94(C).
    11. Zhao, Lu-Tao & Zheng, Zhi-Yi & Wei, Yi-Ming, 2023. "Forecasting oil inventory changes with Google trends: A hybrid wavelet decomposer and ARDL-SVR ensemble model," Energy Economics, Elsevier, vol. 120(C).
    12. Burns, Christopher B. & Kane, Stephen, 2022. "Arbitrage breakdown in WTI crude oil futures: An analysis of the events on April 20, 2020," Resources Policy, Elsevier, vol. 76(C).

  5. Piotr Kokoszka & Hong Miao & Matthew Reimherr & Bahaeddine Taoufik, 2018. "Dynamic Functional Regression with Application to the Cross-section of Returns," Journal of Financial Econometrics, Oxford University Press, vol. 16(3), pages 461-485.

    Cited by:

    1. Chenlei Leng & Degui Li & Hanlin Shang & Yingcun Xia, 2024. "Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures," Papers 2401.05784, arXiv.org, revised Jan 2024.
    2. Ruanmin Cao & Lajos Horváth & Zhenya Liu & Yuqian Zhao, 2020. "A study of data-driven momentum and disposition effects in the Chinese stock market by functional data analysis," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 335-358, January.
    3. B. Li & S. Boubaker & Z. Liu & W. Louhichi & Y. Yao, 2023. "Exploring the Nonlinear Idiosyncratic Volatility Puzzle: Evidence from China," Post-Print hal-04435519, HAL.
    4. Wang, Deqing & Tian, Sihua & Fang, Lei & Xu, Yan, 2020. "A functional index model for dynamically evaluating China's energy security," Energy Policy, Elsevier, vol. 147(C).
    5. Zhao, Yuqian, 2021. "Validating intra-day risk premium in cross-sectional return curves," Finance Research Letters, Elsevier, vol. 43(C).
    6. Horváth, Lajos & Li, Bo & Li, Hemei & Liu, Zhenya, 2020. "Time-varying beta in functional factor models: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  6. Kokoszka Piotr & Miao Hong & Zheng Ben, 2017. "Testing for asymmetry in betas of cumulative returns: Impact of the financial crisis and crude oil price," Statistics & Risk Modeling, De Gruyter, vol. 34(1-2), pages 33-53, June.

    Cited by:

    1. Kokoszka Piotr & Miao Hong & Stoev Stilian & Zheng Ben, 2019. "Risk Analysis of Cumulative Intraday Return Curves," Journal of Time Series Econometrics, De Gruyter, vol. 11(2), pages 1-31, July.

  7. Li, Changsheng & Wang, Haiyu & Miao, Hong & Ye, Bin, 2017. "The economic and social performance of integrated photovoltaic and agricultural greenhouses systems: Case study in China," Applied Energy, Elsevier, vol. 190(C), pages 204-212.

    Cited by:

    1. Farfan, Javier & Lohrmann, Alena & Breyer, Christian, 2019. "Integration of greenhouse agriculture to the energy infrastructure as an alimentary solution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 368-377.
    2. José Manuel Salmerón Lissén & Laura Romero Rodríguez & Francisco Durán Parejo & Francisco José Sánchez de la Flor, 2018. "An Economic, Energy, and Environmental Analysis of PV/Micro-CHP Hybrid Systems: A Case Study of a Tertiary Building," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    3. Ye, Liang-Cheng & Rodrigues, João F.D. & Lin, Hai Xiang, 2017. "Analysis of feed-in tariff policies for solar photovoltaic in China 2011–2016," Applied Energy, Elsevier, vol. 203(C), pages 496-505.
    4. Ouammi, Ahmed, 2021. "Model predictive control for optimal energy management of connected cluster of microgrids with net zero energy multi-greenhouses," Energy, Elsevier, vol. 234(C).
    5. Mamun, Mohammad Abdullah Al & Dargusch, Paul & Wadley, David & Zulkarnain, Noor Azwa & Aziz, Ammar Abdul, 2022. "A review of research on agrivoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    6. Amaducci, Stefano & Yin, Xinyou & Colauzzi, Michele, 2018. "Agrivoltaic systems to optimise land use for electric energy production," Applied Energy, Elsevier, vol. 220(C), pages 545-561.
    7. Cossu, Marco & Cossu, Andrea & Deligios, Paola A. & Ledda, Luigi & Li, Zhi & Fatnassi, Hicham & Poncet, Christine & Yano, Akira, 2018. "Assessment and comparison of the solar radiation distribution inside the main commercial photovoltaic greenhouse types in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 822-834.
    8. Aikaterini Roxani & Athanasios Zisos & Georgia-Konstantina Sakki & Andreas Efstratiadis, 2023. "Multidimensional Role of Agrovoltaics in Era of EU Green Deal: Current Status and Analysis of Water–Energy–Food–Land Dependencies," Land, MDPI, vol. 12(5), pages 1-20, May.
    9. Hassanien, Reda Hassanien Emam & Li, Ming & Yin, Fang, 2018. "The integration of semi-transparent photovoltaics on greenhouse roof for energy and plant production," Renewable Energy, Elsevier, vol. 121(C), pages 377-388.
    10. Hengtian Wang & Xiaolong Yang & Xinxin Xu & Liu Fei, 2021. "Exploring Opportunities and Challenges of Solar PV Power under Carbon Peak Scenario in China: A PEST Analysis," Energies, MDPI, vol. 14(11), pages 1-28, May.
    11. Gang Wu & Hui Fang & Yi Zhang & Kun Li & Dan Xu, 2023. "Photothermal and Photovoltaic Utilization for Improving the Thermal Environment of Chinese Solar Greenhouses: A Review," Energies, MDPI, vol. 16(19), pages 1-29, September.
    12. Hooshmandzade, Niusha & Motevali, Ali & Reza Mousavi Seyedi, Seyed & Biparva, Pouria, 2021. "Influence of single and hybrid water-based nanofluids on performance of microgrid photovoltaic/thermal system," Applied Energy, Elsevier, vol. 304(C).
    13. Jianxu Liu & Heng Wang & Sanzidur Rahman & Songsak Sriboonchitta, 2021. "Energy Efficiency, Energy Conservation and Determinants in the Agricultural Sector in Emerging Economies," Agriculture, MDPI, vol. 11(8), pages 1-18, August.
    14. Jian Chen & Yiping Liu & Lingjun Wang, 2019. "Research on Coupling Coordination Development for Photovoltaic Agriculture System in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    15. La Notte, Luca & Giordano, Lorena & Calabrò, Emanuele & Bedini, Roberto & Colla, Giuseppe & Puglisi, Giovanni & Reale, Andrea, 2020. "Hybrid and organic photovoltaics for greenhouse applications," Applied Energy, Elsevier, vol. 278(C).
    16. Khan, Zaid Ashiq & Koondhar, Mansoor Ahmed & Tiantong, Ma & Khan, Aftab & Nurgazina, Zhanar & Tianjun, Liu & Fengwang, Ma, 2022. "Do chemical fertilizers, area under greenhouses, and renewable energies drive agricultural economic growth owing the targets of carbon neutrality in China?," Energy Economics, Elsevier, vol. 115(C).
    17. Nima Asgari & Matthew T. McDonald & Joshua M. Pearce, 2023. "Energy Modeling and Techno-Economic Feasibility Analysis of Greenhouses for Tomato Cultivation Utilizing the Waste Heat of Cryptocurrency Miners," Energies, MDPI, vol. 16(3), pages 1-42, January.
    18. Yano, Akira & Cossu, Marco, 2019. "Energy sustainable greenhouse crop cultivation using photovoltaic technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 116-137.
    19. Mousavi-Avval, Seyed Hashem & Shah, Ajay, 2020. "Techno-economic analysis of pennycress production, harvest and post-harvest logistics for renewable jet fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    20. Lingjun Wang & Ying Wang & Jian Chen, 2019. "Assessment of the Ecological Niche of Photovoltaic Agriculture in China," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    21. Mohd Ashraf Zainol Abidin & Muhammad Nasiruddin Mahyuddin & Muhammad Ammirrul Atiqi Mohd Zainuri, 2021. "Solar Photovoltaic Architecture and Agronomic Management in Agrivoltaic System: A Review," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
    22. Saedi, Ali & Jahangiri, Ali & Ameri, Mohammad & Asadi, Farzad, 2022. "Feasibility study and 3E analysis of blowdown heat recovery in a combined cycle power plant for utilization in Organic Rankine Cycle and greenhouse heating," Energy, Elsevier, vol. 260(C).
    23. Lingjun Wang & Yuanyuan Li, 2022. "Research on Niche Improvement Path of Photovoltaic Agriculture in China," IJERPH, MDPI, vol. 19(20), pages 1-25, October.
    24. Chung-Feng Jeffrey Kuo & Te-Li Su & Chao-Yang Huang & Han-Chang Liu & Jagadish Barman & Indira Kar, 2023. "Design and Development of a Symbiotic Agrivoltaic System for the Coexistence of Sustainable Solar Electricity Generation and Agriculture," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    25. Wu, Gang & Yang, Qichang & Zhang, Yi & Fang, Hui & Feng, Chaoqing & Zheng, Hongfei, 2020. "Energy and optical analysis of photovoltaic thermal integrated with rotary linear curved Fresnel lens inside a Chinese solar greenhouse," Energy, Elsevier, vol. 197(C).

  8. Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017. "Role of index futures on China's stock markets: Evidence from price discovery and volatility spillover," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 13-26.

    Cited by:

    1. Duc Huynh, Toan Luu & Burggraf, Tobias & Nasir, Muhammad Ali, 2020. "Financialisation of natural resources & instability caused by risk transfer in commodity markets," Resources Policy, Elsevier, vol. 66(C).
    2. Haiying Wang & Ying Yuan & Tianyang Wang, 2021. "The dynamics of cross‐boundary fire—Financial contagion between the oil and stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1655-1673, October.
    3. Huang, Ying Sophie & Yao, Juan & Zhu, Yu, 2018. "Thriving in a disrupted market: a study of Chinese hedge fund performance," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 210-223.
    4. Qu, Hui & Wang, Tianyang & Zhang, Yi & Sun, Pengfei, 2019. "Dynamic hedging using the realized minimum-variance hedge ratio approach – Examination of the CSI 300 index futures," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    5. Liu, Xiang-dong & Pan, Fei & Cai, Wen-li & Peng, Rui, 2020. "Correlation and risk measurement modeling: A Markov-switching mixed Clayton copula approach," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    6. Li, Wei-Xuan & Chen, Clara Chia-Sheng & Nguyen, James, 2022. "Which market dominates the price discovery in currency futures? The case of the Chicago Mercantile Exchange and the Intercontinental Exchange," Global Finance Journal, Elsevier, vol. 52(C).
    7. Jing Hao & Xiong Xiong & Feng He & Feng Ma, 2019. "Price Discovery in the Chinese Stock Index Futures Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(13), pages 2982-2996, October.
    8. Shuxin Guo, 2021. "Do futures lead the index under stress? Evidence from the 2015 Chinese market turmoil and its aftermath," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 91-110, January.
    9. Liu, Shengnan & Yang, Linshan & Gu, Rongbao, 2023. "Can the introduction of stock index futures stabilize the volatility of the stock market? Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 44-58.
    10. Chen, Xiangyu & Tongurai, Jittima, 2023. "Informational linkage and price discovery between China's futures and spot markets: Evidence from the US–China trade dispute," Global Finance Journal, Elsevier, vol. 55(C).
    11. Xu, Kewei & Xiong, Xiong & Li, Xiao, 2021. "The maturity effect of stock index futures: Speculation or carry arbitrage?," Research in International Business and Finance, Elsevier, vol. 58(C).
    12. Lai T. Hoang & Dirk G. Baur, 2021. "Spillovers and Asset Allocation," JRFM, MDPI, vol. 14(8), pages 1-31, July.
    13. Chen, Zhang-HangJian & Li, Sai-Ping & Cai, Mei-Ling & Zhong, Li-Xin & Ren, Fei, 2021. "Cross-region risk spillover between the stock and stock index futures markets under exogenous shocks," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    14. Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
    15. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
    16. Rob Kim Marjerison & Chungil Chae & Shitong Li, 2021. "Investor Activity in Chinese Financial Institutions: A Precursor to Economic Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    17. Hao Chen & Zhixin Liu & Yinpeng Zhang & You Wu, 2020. "The Linkages of Carbon Spot-Futures: Evidence from EU-ETS in the Third Phase," Sustainability, MDPI, vol. 12(6), pages 1-18, March.

  9. Li, Keming & Lockwood, Jimmy & Miao, Hong, 2017. "Risk-shifting, equity risk, and the distress puzzle," Journal of Corporate Finance, Elsevier, vol. 44(C), pages 275-288.

    Cited by:

    1. Nejadmalayeri, Ali & Rosenblum, Aaron, 2022. "Distressed acquirers and the bright side of financial distress," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Pugachev, Leonid, 2022. "The risk-shifting value of payout: Evidence from bank enforcement actions," Journal of Banking & Finance, Elsevier, vol. 138(C).

  10. Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017. "Influential factors in crude oil price forecasting," Energy Economics, Elsevier, vol. 68(C), pages 77-88.

    Cited by:

    1. Wang, Yudong & Hao, Xianfeng, 2023. "Forecasting the real prices of crude oil: What is the role of parameter instability?," Energy Economics, Elsevier, vol. 117(C).
    2. Valérie Mignon & Yifei Cai & Jamel Saadaoui, 2022. "Not all political relation shocks are alike: Assessing the impacts of US-China tensions on the oil market," EconomiX Working Papers 2022-19, University of Paris Nanterre, EconomiX.
    3. Carpio, Lucio Guido Tapia, 2019. "The effects of oil price volatility on ethanol, gasoline, and sugar price forecasts," Energy, Elsevier, vol. 181(C), pages 1012-1022.
    4. Wen, Jun & Zhao, Xin-Xin & Chang, Chun-Ping, 2021. "The impact of extreme events on energy price risk," Energy Economics, Elsevier, vol. 99(C).
    5. Shi, Xunpeng & Wang, Keying & Cheong, Tsun Se & Zhang, Hongwu, 2020. "Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data," Energy Economics, Elsevier, vol. 92(C).
    6. Amaro, Raphael & Pinho, Carlos & Madaleno, Mara, 2022. "Forecasting the Value-at-Risk of energy commodities: A comparison of models and alternative distribution functions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 77-101.
    7. Wang, Kai-Hua & Xiong, De-Ping & Mirza, Nawazish & Shao, Xue-Feng & Yue, Xiao-Guang, 2021. "Does geopolitical risk uncertainty strengthen or depress cash holdings of oil enterprises? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    8. 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).
    9. Li, Mingchen & Cheng, Zishu & Lin, Wencan & Wei, Yunjie & Wang, Shouyang, 2023. "What can be learned from the historical trend of crude oil prices? An ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 123(C).
    10. Monge, Manuel & Cristóbal, Enrique, 2021. "Terrorism and the behavior of oil production and prices in OPEC," Resources Policy, Elsevier, vol. 74(C).
    11. Haiying Wang & Ying Yuan & Tianyang Wang, 2021. "The dynamics of cross‐boundary fire—Financial contagion between the oil and stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1655-1673, October.
    12. Li, Jingjing & Tang, Ling & Wang, Shouyang, 2020. "Forecasting crude oil price with multilingual search engine data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    13. 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).
    14. Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    15. Huang, Menghao & Shao, Wei & Wang, Jian, 2023. "Correlations between the crude oil market and capital markets under the Russia–Ukraine conflict: A perspective of crude oil importing and exporting countries," Resources Policy, Elsevier, vol. 80(C).
    16. Cheng, Xian & Wu, Peng & Liao, Stephen Shaoyi & Wang, Xuelian, 2023. "An integrated model for crude oil forecasting: Causality assessment and technical efficiency," Energy Economics, Elsevier, vol. 117(C).
    17. He, Kaijian & Tso, Geoffrey K.F. & Zou, Yingchao & Liu, Jia, 2018. "Crude oil risk forecasting: New evidence from multiscale analysis approach," Energy Economics, Elsevier, vol. 76(C), pages 574-583.
    18. 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).
    19. Jiang, Zhe & Zhang, Lin & Zhang, Lingling & Wen, Bo, 2022. "Investor sentiment and machine learning: Predicting the price of China's crude oil futures market," Energy, Elsevier, vol. 247(C).
    20. Zhao, Lu-Tao & Wang, Yi & Guo, Shi-Qiu & Zeng, Guan-Rong, 2018. "A novel method based on numerical fitting for oil price trend forecasting," Applied Energy, Elsevier, vol. 220(C), pages 154-163.
    21. Valérie Mignon & Jamel Saadaoui, 2023. "Asymmetries in the oil market: Accounting for the growing role of China through quantile regressions," Working Papers hal-04159838, HAL.
    22. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    23. Alain Hecq & Elisa Voisin, 2023. "Predicting Crashes in Oil Prices During The Covid-19 Pandemic with Mixed Causal-Noncausal Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 209-233, Emerald Group Publishing Limited.
    24. Wang, Lu & Ma, Feng & Liu, Jing & Yang, Lin, 2020. "Forecasting stock price volatility: New evidence from the GARCH-MIDAS model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 684-694.
    25. Seiji Harikae & James S. Dyer & Tianyang Wang, 2021. "Valuing Real Options in the Volatile Real World," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 171-189, January.
    26. Zhou, Jie & Sun, Mei & Han, Dun & Gao, Cuixia, 2021. "Analysis of oil price fluctuation under the influence of crude oil stocks and US dollar index — Based on time series network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    27. Hao, Xianfeng & Zhao, Yuyang & Wang, Yudong, 2020. "Forecasting the real prices of crude oil using robust regression models with regularization constraints," Energy Economics, Elsevier, vol. 86(C).
    28. Guo, Jingjun & Zhao, Zhengling & Sun, Jingyun & Sun, Shaolong, 2022. "Multi-perspective crude oil price forecasting with a new decomposition-ensemble framework," Resources Policy, Elsevier, vol. 77(C).
    29. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
    30. Yingrui Zhou & Taiyong Li & Jiayi Shi & Zijie Qian, 2019. "A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices," Complexity, Hindawi, vol. 2019, pages 1-15, February.
    31. Wu, Jie & Zhao, Ruizeng & Sun, Jiasen & Zhou, Xuewei, 2023. "Impact of geopolitical risks on oil price fluctuations: Based on GARCH-MIDAS model," Resources Policy, Elsevier, vol. 85(PB).
    32. Zhang, Yaojie & He, Mengxi & Wang, Yudong & Liang, Chao, 2023. "Global economic policy uncertainty aligned: An informative predictor for crude oil market volatility," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1318-1332.
    33. Song, Yu & Chen, Bo & Hou, Na & Yang, Yi, 2022. "Terrorist attacks and oil prices: A time-varying causal relationship analysis," Energy, Elsevier, vol. 246(C).
    34. Chai, Jian & Xing, Li-Min & Zhou, Xiao-Yang & Zhang, Zhe George & Li, Jie-Xun, 2018. "Forecasting the WTI crude oil price by a hybrid-refined method," Energy Economics, Elsevier, vol. 71(C), pages 114-127.
    35. Taiyong Li & Yingrui Zhou & Xinsheng Li & Jiang Wu & Ting He, 2019. "Forecasting Daily Crude Oil Prices Using Improved CEEMDAN and Ridge Regression-Based Predictors," Energies, MDPI, vol. 12(19), pages 1-25, September.
    36. Zhenhua Liu & Zhihua Ding & Tao Lv & Jy S. Wu & Wei Qiang, 2019. "Financial factors affecting oil price change and oil-stock interactions: a review and future perspectives," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 207-225, January.
    37. Mensi, Walid & Lee, Yun-Jung & Vinh Vo, Xuan & Yoon, Seong-Min, 2021. "Does oil price variability affect the long memory and weak form efficiency of stock markets in top oil producers and oil Consumers? Evidence from an asymmetric MF-DFA approach," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    38. Dutta, Anupam & Soytas, Ugur & Das, Debojyoti & Bhattacharyya, Asit, 2022. "In search of time-varying jumps during the turmoil periods: Evidence from crude oil futures markets," Energy Economics, Elsevier, vol. 114(C).
    39. Yuntong Liu & Yu Wei & Yi Liu & Wenjuan Li, 2020. "Forecasting Oil Price by Hierarchical Shrinkage in Dynamic Parameter Models," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-12, December.
    40. Drachal, Krzysztof, 2021. "Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures," Energy Economics, Elsevier, vol. 99(C).
    41. 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).
    42. Gkillas, Konstantinos & Manickavasagam, Jeevananthan & Visalakshmi, S., 2022. "Effects of fundamentals, geopolitical risk and expectations factors on crude oil prices," Resources Policy, Elsevier, vol. 78(C).
    43. Lycheva, Maria & Mironenkov, Alexey & Kurbatskii, Alexey & Fantazzini, Dean, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
    44. Lu-Tao Zhao & Guan-Rong Zeng & Wen-Jing Wang & Zhi-Gang Zhang, 2019. "Forecasting Oil Price Using Web-based Sentiment Analysis," Energies, MDPI, vol. 12(22), pages 1-18, November.
    45. Liu, Jing & Ma, Feng & Tang, Yingkai & Zhang, Yaojie, 2019. "Geopolitical risk and oil volatility: A new insight," Energy Economics, Elsevier, vol. 84(C).
    46. Yanhong Feng & Xiaolei Wang & Shuanglian Chen & Yanqiong Liu, 2022. "Impact of Oil Financialization on Oil Price Fluctuation: A Perspective of Heterogeneity," Energies, MDPI, vol. 15(12), pages 1-20, June.
    47. Steve Crawford & Garen Markarian & Volkan Muslu & Richard Price, 2021. "Oil prices, earnings, and stock returns," Review of Accounting Studies, Springer, vol. 26(1), pages 218-257, March.
    48. Emmanuel Senyo Fianu, 2022. "Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach," Forecasting, MDPI, vol. 4(2), pages 1-27, June.
    49. Le, Thai-Ha & Le, Anh Tu & Le, Ha-Chi, 2021. "The historic oil price fluctuation during the Covid-19 pandemic: What are the causes?," Research in International Business and Finance, Elsevier, vol. 58(C).
    50. Gong, Xu & Sun, Yi & Du, Zhili, 2022. "Geopolitical risk and China's oil security," Energy Policy, Elsevier, vol. 163(C).
    51. Lu, Quanying & Li, Yuze & Chai, Jian & Wang, Shouyang, 2020. "Crude oil price analysis and forecasting: A perspective of “new triangle”," Energy Economics, Elsevier, vol. 87(C).
    52. Arash Sioofy Khoojine & Mahboubeh Shadabfar & Yousef Edrisi Tabriz, 2022. "A Mutual Information-Based Network Autoregressive Model for Crude Oil Price Forecasting Using Open-High-Low-Close Prices," Mathematics, MDPI, vol. 10(17), pages 1-20, September.
    53. Lin, Boqiang & Su, Tong, 2021. "Do China's macro-financial factors determine the Shanghai crude oil futures market?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    54. Nan, Yu & Sun, Renjin & Zhen, Zhao & Fangjing, Chu, 2022. "Measurement of international crude oil price cyclical fluctuations and correlation with the world economic cyclical changes," Energy, Elsevier, vol. 260(C).
    55. Li, Jinchao & Zhu, Shaowen & Wu, Qianqian, 2019. "Monthly crude oil spot price forecasting using variational mode decomposition," Energy Economics, Elsevier, vol. 83(C), pages 240-253.
    56. Bredin, Don & O'Sullivan, Conall & Spencer, Simon, 2021. "Forecasting WTI crude oil futures returns: Does the term structure help?," Energy Economics, Elsevier, vol. 100(C).
    57. Yanhong Feng & Dilong Xu & Pierre Failler & Tinghui Li, 2020. "Research on the Time-Varying Impact of Economic Policy Uncertainty on Crude Oil Price Fluctuation," Sustainability, MDPI, vol. 12(16), pages 1-24, August.
    58. Butler, Sunil & Kokoszka, Piotr & Miao, Hong & Shang, Han Lin, 2021. "Neural network prediction of crude oil futures using B-splines," Energy Economics, Elsevier, vol. 94(C).
    59. Cortazar, Gonzalo & Ortega, Hector & Valencia, Consuelo, 2021. "How good are analyst forecasts of oil prices?," Energy Economics, Elsevier, vol. 102(C).
    60. He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021. "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, vol. 97(C).
    61. Song, Yuegang & Zhang, Xiaoyu & Hu, Guoheng, 2023. "Relationships among geopolitical risk, trade policy uncertainty, and crude oil import prices: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    62. Hille, Erik, 2023. "Europe's energy crisis: Are geopolitical risks in source countries of fossil fuels accelerating the transition to renewable energy?," Energy Economics, Elsevier, vol. 127(PA).
    63. Zou, Yingchao & Yu, Lean & Tso, Geoffrey K.F. & He, Kaijian, 2020. "Risk forecasting in the crude oil market: A multiscale Convolutional Neural Network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    64. Wang, Kai-Hua & Su, Chi-Wei & Umar, Muhammad, 2021. "Geopolitical risk and crude oil security: A Chinese perspective," Energy, Elsevier, vol. 219(C).
    65. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    66. Yue-Jun Zhang & Shu-Hui Li, 2019. "The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1357-1371, August.
    67. Barbaglia, Luca & Croux, Christophe & Wilms, Ines, 2020. "Volatility spillovers in commodity markets: A large t-vector autoregressive approach," Energy Economics, Elsevier, vol. 85(C).
    68. Burns, Christopher B. & Kane, Stephen, 2022. "Arbitrage breakdown in WTI crude oil futures: An analysis of the events on April 20, 2020," Resources Policy, Elsevier, vol. 76(C).

  11. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Wang, Tianyang, 2016. "An examination of the flow characteristics of crude oil: Evidence from risk-neutral moments," Energy Economics, Elsevier, vol. 54(C), pages 213-223.

    Cited by:

    1. Haiying Wang & Ying Yuan & Tianyang Wang, 2021. "The dynamics of cross‐boundary fire—Financial contagion between the oil and stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1655-1673, October.
    2. Gong, Xu & Wen, Fenghua & Xia, X.H. & Huang, Jianbai & Pan, Bin, 2017. "Investigating the risk-return trade-off for crude oil futures using high-frequency data," Applied Energy, Elsevier, vol. 196(C), pages 152-161.
    3. Zhang, Xinxin & Bouri, Elie & Xu, Yahua & Zhang, Gongqiu, 2022. "The asymmetric relationship between returns and implied higher moments: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 109(C).
    4. Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017. "Influential factors in crude oil price forecasting," Energy Economics, Elsevier, vol. 68(C), pages 77-88.
    5. Miao, Hong & Ramchander, Sanjay & Ryan, Patricia & Wang, Tianyang, 2018. "Default prediction models: The role of forward-looking measures of returns and volatility," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 146-162.
    6. Connor J.A. Stuart & Sebastian A. Gehricke & Jin E. Zhang & Xinfeng Ruan, 2021. "Implied volatility smirk in the Australian dollar market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4573-4599, September.
    7. Ruan, Xinfeng & Zhang, Jin E., 2019. "Moment spreads in the energy market," Energy Economics, Elsevier, vol. 81(C), pages 598-609.
    8. Jianhui Li & Sebastian A. Gehricke & Jin E. Zhang, 2019. "How do US options traders “smirk” on China? Evidence from FXI options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1450-1470, November.
    9. Ruan, Xinfeng & Zhang, Jin E., 2018. "Risk-neutral moments in the crude oil market," Energy Economics, Elsevier, vol. 72(C), pages 583-600.
    10. Xiaolan Jia & Xinfeng Ruan & Jin E. Zhang, 2021. "The implied volatility smirk of commodity options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 72-104, January.
    11. Pakorn Aschakulporn & Jin E. Zhang, 2022. "Bakshi, Kapadia, and Madan (2003) risk‐neutral moment estimators: An affine jump‐diffusion approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 365-388, March.
    12. Marinela Adriana Finta & José Renato Haas Ornelas, 2018. "Commodity Return Predictability: evidence from implied variance, skewness and their risk premia and their risk premia," Working Papers Series 479, Central Bank of Brazil, Research Department.
    13. Finta, Marinela Adriana & Ornelas, José Renato Haas, 2022. "Commodity return predictability: Evidence from implied variance, skewness, and their risk premia☆☆," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    14. Butler, Sunil & Kokoszka, Piotr & Miao, Hong & Shang, Han Lin, 2021. "Neural network prediction of crude oil futures using B-splines," Energy Economics, Elsevier, vol. 94(C).

  12. Arjun Chatrath & Hong Miao & Sanjay Ramchander & Tianyang Wang, 2015. "The Forecasting Efficacy of Risk‐Neutral Moments for Crude Oil Volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(3), pages 177-190, April.

    Cited by:

    1. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers 202009, University of Pretoria, Department of Economics.
    2. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Oil-Price Volatility: The Role of Financial Stress and Asymmetric Loss," Working Papers 201903, University of Pretoria, Department of Economics.
    3. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2022. "Risk aversion and the predictability of crude oil market volatility: A forecasting experiment with random forests," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(8), pages 1755-1767, August.
    4. Baruník, Jozef & Hlínková, Michaela, 2016. "Revisiting the long memory dynamics of the implied–realized volatility relationship: New evidence from the wavelet regression," Economic Modelling, Elsevier, vol. 54(C), pages 503-514.
    5. Miao, Hong & Ramchander, Sanjay & Ryan, Patricia & Wang, Tianyang, 2018. "Default prediction models: The role of forward-looking measures of returns and volatility," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 146-162.
    6. Ruan, Xinfeng & Zhang, Jin E., 2019. "Moment spreads in the energy market," Energy Economics, Elsevier, vol. 81(C), pages 598-609.
    7. Wong, Patrick, 2023. "Explaining intraday crude oil returns with higher order risk-neutral moments," Journal of Commodity Markets, Elsevier, vol. 31(C).
    8. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    9. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    10. Yudong Wang & Zhiyuan Pan & Chongfeng Wu, 2017. "Time‐Varying Parameter Realized Volatility Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 566-580, August.
    11. Ruan, Xinfeng & Zhang, Jin E., 2018. "Risk-neutral moments in the crude oil market," Energy Economics, Elsevier, vol. 72(C), pages 583-600.
    12. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Wang, Tianyang, 2016. "An examination of the flow characteristics of crude oil: Evidence from risk-neutral moments," Energy Economics, Elsevier, vol. 54(C), pages 213-223.
    13. Anupam Dutta & Elie Bouri & David Roubaud, 2021. "Modelling the volatility of crude oil returns: Jumps and volatility forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 889-897, January.
    14. Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.

  13. Bahram Adrangi & Arjun Chatrath & Rohan A. Christie‐David & Hong Miao & Sanjay Ramchander, 2015. "Stock‐Versus‐Flow Distinctions, Information, and the Role of Inventory," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(11), pages 1003-1025, November.

    Cited by:

    1. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.

  14. Chatrath, Arjun & Christie-David, Rohan A. & Miao, Hong & Ramchander, Sanjay, 2015. "Short-term options: Clienteles, market segmentation, and event trading," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 237-250.

    Cited by:

    1. Ging-Ginq Pan & Yung-Ming Shiu & Tu-Cheng Wu, 2019. "Is trading in the shortest-term index options profitable?," Review of Derivatives Research, Springer, vol. 22(1), pages 169-201, April.
    2. Yossi Shvimer & Avi Herbon, 2022. "Non-tradability interval for heterogeneous rational players in the option markets," Computational Management Science, Springer, vol. 19(1), pages 133-157, January.

  15. Piotr Kokoszka & Hong Miao & Xi Zhang, 2015. "Functional Dynamic Factor Model for Intraday Price Curves," Journal of Financial Econometrics, Oxford University Press, vol. 13(2), pages 456-477.

    Cited by:

    1. Chenlei Leng & Degui Li & Hanlin Shang & Yingcun Xia, 2024. "Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures," Papers 2401.05784, arXiv.org, revised Jan 2024.
    2. Zhenjie Liang & Futian Weng & Yuanting Ma & Yan Xu & Miao Zhu & Cai Yang, 2022. "Measurement and Analysis of High Frequency Assert Volatility Based on Functional Data Analysis," Mathematics, MDPI, vol. 10(7), pages 1-11, April.
    3. Lajos Horváth & Piotr Kokoszka & Jeremy VanderDoes & Shixuan Wang, 2022. "Inference in functional factor models with applications to yield curves," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(6), pages 872-894, November.
    4. Li, Xuemei & Liu, Xiaoxing, 2023. "Functional classification and dynamic prediction of cumulative intraday returns in crude oil futures," Energy, Elsevier, vol. 284(C).
    5. Horváth, Lajos & Li, Bo & Li, Hemei & Liu, Zhenya, 2020. "Time-varying beta in functional factor models: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    6. Kokoszka Piotr & Miao Hong & Stoev Stilian & Zheng Ben, 2019. "Risk Analysis of Cumulative Intraday Return Curves," Journal of Time Series Econometrics, De Gruyter, vol. 11(2), pages 1-31, July.
    7. Kokoszka Piotr & Miao Hong & Zheng Ben, 2017. "Testing for asymmetry in betas of cumulative returns: Impact of the financial crisis and crude oil price," Statistics & Risk Modeling, De Gruyter, vol. 34(1-2), pages 33-53, June.
    8. Larbi Ait-Hennani & Zoulikha Kaid & Ali Laksaci & Mustapha Rachdi, 2022. "Nonparametric Estimation of the Expected Shortfall Regression for Quasi-Associated Functional Data," Mathematics, MDPI, vol. 10(23), pages 1-23, November.
    9. Bouri, Elie & Lau, Chi Keung Marco & Saeed, Tareq & Wang, Shixuan & Zhao, Yuqian, 2021. "On the intraday return curves of Bitcoin: Predictability and trading opportunities," International Review of Financial Analysis, Elsevier, vol. 76(C).
    10. Chen Tang & Yanlin Shi, 2021. "Forecasting High-Dimensional Financial Functional Time Series: An Application to Constituent Stocks in Dow Jones Index," JRFM, MDPI, vol. 14(8), pages 1-13, July.

  16. Hong Miao & Sanjay Ramchander & Tianyang Wang, 2014. "The Response of Bond Prices to Insurer Ratings Changes," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 389-413, April.

    Cited by:

    1. Krishna Reddy & Rudi Bosman & Nawazish Mirza, 2019. "Impact Of Credit Ratings On Stock Returns," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(3), pages 1-24, January.

  17. Hong Miao & Sanjay Ramchander & J. Kenton Zumwalt, 2014. "S&P 500 Index‐Futures Price Jumps and Macroeconomic News," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(10), pages 980-1001, October.

    Cited by:

    1. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
    2. Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2021. "Stock market volatility and jumps in times of uncertainty," Journal of International Money and Finance, Elsevier, vol. 113(C).
    3. Özbekler, Ali Gencay & Kontonikas, Alexandros & Triantafyllou, Athanasios, 2020. "Volatility Forecasting in European Government Bond Markets," Essex Finance Centre Working Papers 27362, University of Essex, Essex Business School.
    4. Liu, Wenwen & Zhang, Chang & Qiao, Gaoxiu & Xu, Lei, 2022. "Impact of network investor sentiment and news arrival on jumps," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    5. Lv, Wendai & Qi, Jipeng, 2022. "Stock market return predictability: A combination forecast perspective," International Review of Financial Analysis, Elsevier, vol. 84(C).
    6. 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).
    7. Liu, Guofang & Fang, Xi & Huang, Yuan & Zhao, Weidong, 2021. "Identifying the role of consumer and producer price index announcements in stock index futures price changes," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 87-101.
    8. Smales, L.A., 2017. "Commodity market volatility in the presence of U.S. and Chinese macroeconomic news," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 15-27.
    9. Banerjee, Ameet Kumar & Dionisio, Andreia & Pradhan, H.K. & Mahapatra, Biplab, 2021. "Hunting the quicksilver: Using textual news and causality analysis to predict market volatility," International Review of Financial Analysis, Elsevier, vol. 77(C).
    10. Zhou, Chunyang & Wu, Chongfeng & Wang, Yudong, 2019. "Dynamic portfolio allocation with time-varying jump risk," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 113-124.
    11. Srivastava, Pranjal & Jacob, Joshy, 2022. "Arbitrage constraints and behaviour of volatility components: Evidence from a natural experiment," IIMA Working Papers WP 2022-10-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    12. Li, Zhao-Chen & Xie, Chi & Zeng, Zhi-Jian & Wang, Gang-Jin & Zhang, Ting, 2023. "Forecasting global stock market volatilities in an uncertain world," International Review of Financial Analysis, Elsevier, vol. 85(C).
    13. Kam Fong Chan & Philip Gray, 2017. "Do Scheduled Macroeconomic Announcements Influence Energy Price Jumps?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(1), pages 71-89, January.
    14. Ahn, Yongkil & Tsai, Shih-Chuan, 2021. "What factors are associated with stock price jumps in high frequency?," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    15. Zeng, Qing & Lu, Xinjie & Dong, Dayong & Li, Pan, 2022. "Category-specific EPU indices, macroeconomic variables and stock market return predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).

  18. Elder, John & Miao, Hong & Ramchander, Sanjay, 2014. "Price discovery in crude oil futures," Energy Economics, Elsevier, vol. 46(S1), pages 18-27.

    Cited by:

    1. Yang, Chen & Lv, Fei & Fang, Libing & Shang, Xingxing, 2020. "The pricing efficiency of crude oil futures in the Shanghai International Exchange," Finance Research Letters, Elsevier, vol. 36(C).
    2. Daniele Valenti & Andrea Bastianin & Matteo Manera, 2022. "A weekly structural VAR model of the US crude oil market," Working Papers 2022.11, Fondazione Eni Enrico Mattei.
    3. Yin, Libo & Su, Zhi & Lu, Man, 2022. "Is oil risk important for commodity-related currency returns?," Research in International Business and Finance, Elsevier, vol. 60(C).
    4. Mann, Janelle & Sephton, Peter, 2016. "Global relationships across crude oil benchmarks," Journal of Commodity Markets, Elsevier, vol. 2(1), pages 1-5.
    5. Shao, Mingao & Hua, Yongjun, 2022. "Price discovery efficiency of China's crude oil futures: Evidence from the Shanghai crude oil futures market," Energy Economics, Elsevier, vol. 112(C).
    6. Luo, Jiawen & Klein, Tony & Walther, Thomas & Ji, Qiang, 2021. "Forecasting Realized Volatility of Crude Oil Futures Prices based on Machine Learning," QBS Working Paper Series 2021/04, Queen's University Belfast, Queen's Business School.
    7. Maitra, Debasish & Rehman, Mobeen Ur & Dash, Saumya Ranjan & Kang, Sang Hoon, 2021. "Oil price volatility and the logistics industry: Dynamic connectedness with portfolio implications," Energy Economics, Elsevier, vol. 102(C).
    8. Wang, Lijun & An, Haizhong & Liu, Xiaojia & Huang, Xuan, 2016. "Selecting dynamic moving average trading rules in the crude oil futures market using a genetic approach," Applied Energy, Elsevier, vol. 162(C), pages 1608-1618.
    9. Luo, Jiawen & Ji, Qiang & Klein, Tony & Todorova, Neda & Zhang, Dayong, 2020. "On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks," Energy Economics, Elsevier, vol. 89(C).
    10. Rousse, O. & Sévi, B., 2016. "Informed trading in oil-futures market," Working Papers 2016-07, Grenoble Applied Economics Laboratory (GAEL).
    11. Klein, Tony, 2018. "Trends and Contagion in WTI and Brent Crude Oil Spot and Futures Markets - The Role of OPEC in the last Decade," QBS Working Paper Series 2018/05, Queen's University Belfast, Queen's Business School.
    12. Smales, L.A., 2019. "Slopes, spreads, and depth: Monetary policy announcements and liquidity provision in the energy futures market," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 234-252.
    13. Jain, Prachi & Maitra, Debasish & Kang, Sang Hoon, 2023. "Oil price and the automobile industry: Dynamic connectedness and portfolio implications with downside risk," Energy Economics, Elsevier, vol. 119(C).
    14. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Quantile information share under Markov regime‐switching," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 493-513, April.
    15. Jian Yang & Yinggang Zhou, 2020. "Return and volatility transmission between China's and international crude oil futures markets: A first look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 860-884, June.
    16. Alqahtani, Abdullah & Klein, Tony, 2021. "Oil price changes, uncertainty, and geopolitical risks: On the resilience of GCC countries to global tensions," Energy, Elsevier, vol. 236(C).
    17. Zhang, Jiahao & Chen, Xiaodan & Wei, Yu & Bai, Lan, 2023. "Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis," International Review of Financial Analysis, Elsevier, vol. 88(C).
    18. Yue‐Jun Zhang & Shu‐Jiao Ma, 2021. "Exploring the dynamic price discovery, risk transfer and spillover among INE, WTI and Brent crude oil futures markets: Evidence from the high‐frequency data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2414-2435, April.
    19. Tian, Xiao & Duong, Huu Nhan & Kalev, Petko S., 2019. "Information content of the limit order book for crude oil futures price volatility," Energy Economics, Elsevier, vol. 81(C), pages 584-597.
    20. Klein, Tony, 2018. "Trends and contagion in WTI and Brent crude oil spot and futures markets - The role of OPEC in the last decade," Energy Economics, Elsevier, vol. 75(C), pages 636-646.
    21. Wang, Jianli & Qiu, Shushu & Yick, Ho Yin, 2022. "The influence of the Shanghai crude oil futures on the global and domestic oil markets," Energy, Elsevier, vol. 245(C).
    22. Zhang, Qi & Di, Peng & Farnoosh, Arash, 2021. "Study on the impacts of Shanghai crude oil futures on global oil market and oil industry based on VECM and DAG models," Energy, Elsevier, vol. 223(C).
    23. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    24. Luo, Jiawen & Marfatia, Hardik A. & Ji, Qiang & Klein, Tony, 2023. "Co-volatility and asymmetric transmission of risks between the global oil and China's futures markets," Energy Economics, Elsevier, vol. 117(C).
    25. Caner Ozdurak & Veysel Ulusoy, 2020. "Price Discovery in Crude Oil Markets: Intraday Volatility Interactions between Crude Oil Futures and Energy Exchange Traded Funds," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 402-413.
    26. Ayben Koy, 2017. "Modelling Nonlinear Dynamics of Oil Futures Market," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(1), pages 23-42, June.

  19. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay, 2014. "Crude oil moments and PNG stock returns," Energy Economics, Elsevier, vol. 44(C), pages 222-235.

    Cited by:

    1. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Wang, Tianyang, 2016. "An examination of the flow characteristics of crude oil: Evidence from risk-neutral moments," Energy Economics, Elsevier, vol. 54(C), pages 213-223.

  20. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Villupuram, Sriram, 2014. "Currency jumps, cojumps and the role of macro news," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 42-62.

    Cited by:

    1. Imane El Ouadghiri & Remzi Uctum, 2016. "Jumps in equilibrium prices and asymmetric news in foreign exchange markets," Post-Print hal-01386027, HAL.
    2. Wang, Wenhao & Lin, Zhitao & Hu, Bing, 2023. "Macro news effects on exchange rates: Difference between carry trade target and safe-haven currencies," Finance Research Letters, Elsevier, vol. 53(C).
    3. Yi-Chen Chung & Hsien-Ming Chou & Chih-Neng Hung & Chihli Hung, 2021. "Using Textual and Economic Features to Predict the RMB Exchange Rate," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(6), pages 1-8.
    4. Barunik, Jozef & Krehlik, Tomas & Vacha, Lukas, 2016. "Modeling and forecasting exchange rate volatility in time-frequency domain," European Journal of Operational Research, Elsevier, vol. 251(1), pages 329-340.
    5. Yin-Wong Cheung & Rasmus Fatum & Yohei Yamamoto, 2017. "The Exchange Rate Effects of Macro News after the Global Financial Crisis," GRU Working Paper Series GRU_2017_007, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    6. Serdengeçti, Süleyman & Sensoy, Ahmet & Nguyen, Duc Khuong, 2021. "Dynamics of return and liquidity (co) jumps in emerging foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    7. Choi, Jin Ho & Suh, Sangwon, 2022. "Conditionally-hedged currency carry trades," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    8. Füss, Roland & Grabellus, Markus & Mager, Ferdinand & Stein, Michael, 2018. "Something in the air: Information density, news surprises, and price jumps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 50-75.
    9. Liu, Wenwen & Zhang, Chang & Qiao, Gaoxiu & Xu, Lei, 2022. "Impact of network investor sentiment and news arrival on jumps," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    10. Rognone, Lavinia & Hyde, Stuart & Zhang, S. Sarah, 2020. "News sentiment in the cryptocurrency market: An empirical comparison with Forex," International Review of Financial Analysis, Elsevier, vol. 69(C).
    11. Iwanicz-Drozdowska, Małgorzata & Rogowicz, Karol & Kurowski, Łukasz & Smaga, Paweł, 2021. "Two decades of contagion effect on stock markets: Which events are more contagious?," Journal of Financial Stability, Elsevier, vol. 55(C).
    12. Gbenga Ibikunle & Vito Mollica & Qiao Sun, 2021. "Jumps in foreign exchange spot rates and the informational efficiency of currency forwards," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1201-1219, August.
    13. Yi, Chae-Deug, 2020. "Jump probability using volatility periodicity filters in US Dollar/Euro exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    14. Konstantinos Gkillas & Dimitrios Vortelinos & Christos Floros & Alexandros Garefalakis & Nikolaos Sariannidis, 2020. "Greek sovereign crisis and European exchange rates: effects of news releases and their providers," Annals of Operations Research, Springer, vol. 294(1), pages 515-536, November.
    15. Sensoy, Ahmet & Serdengeçti, Süleyman, 2020. "Impact of portfolio flows and heterogeneous expectations on FX jumps: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 68(C).
    16. Gkillas Konstantinos & Gupta Rangan & Vortelinos Dimitrios I., 2023. "Uncertainty and realized jumps in the pound-dollar exchange rate: evidence from over one century of data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(1), pages 25-47, February.
    17. Yao, Wenying & Tian, Jing, 2015. "The role of intra-day volatility pattern in jump detection: empirical evidence on how financial markets respond to macroeconomic news announcements," Working Papers 2015-05, University of Tasmania, Tasmanian School of Business and Economics.
    18. Mark Johnman & Bruce James Vanstone & Adrian Gepp, 2018. "Predicting FTSE 100 returns and volatility using sentiment analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 253-274, November.
    19. Khademalomoom, Siroos & Narayan, Paresh Kumar, 2020. "Intraday-of-the-week effects: What do the exchange rate data tell us?," Emerging Markets Review, Elsevier, vol. 43(C).
    20. Ederington, Louis & Guan, Wei & Yang, Lisa (Zongfei), 2019. "The impact of the U.S. employment report on exchange rates," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 257-267.
    21. Dimitrios I. Vortelinos, 2015. "The Effect of Macro News on Volatility and Jumps," Annals of Economics and Finance, Society for AEF, vol. 16(2), pages 425-447, November.
    22. Lee, Suzanne S. & Wang, Minho, 2020. "Tales of tails: Jumps in currency markets," Journal of Financial Markets, Elsevier, vol. 48(C).
    23. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam, 2019. "An empirical examination of the jump and diffusion aspects of asset pricing: Japanese evidence," Working Papers 2019-02, University of Tasmania, Tasmanian School of Business and Economics.
    24. B. Shravan Kumar & Vadlamani Ravi & Rishabh Miglani, 2019. "Predicting Indian stock market using the psycho-linguistic features of financial news," Papers 1911.06193, arXiv.org.
    25. Chen, Ke & Vitiello, Luiz & Hyde, Stuart & Poon, Ser-Huang, 2018. "The reality of stock market jumps diversification," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 171-188.
    26. Jolanta Pasionek, 2021. "Response of the USD/MXN Exchange Rate to Macroeconomic Data," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 914-927.
    27. Piccotti, Louis R., 2018. "Jumps, cojumps, and efficiency in the spot foreign exchange market," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 49-67.
    28. Stübinger, Johannes & Walter, Dominik & Knoll, Julian, 2017. "Financial market predictions with Factorization Machines: Trading the opening hour based on overnight social media data," FAU Discussion Papers in Economics 19/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    29. Dinesh Gajurel & Mardi Dungey & Wenying Yao & Nagaratnam Jeyasreedharan, 2020. "Jump Risk in the US Financial Sector," The Economic Record, The Economic Society of Australia, vol. 96(314), pages 331-349, September.
    30. Dungey, Mardi & Matei, Marius & Treepongkaruna, Sirimon, 2014. "Identifying periods of financial stress in Asian currencies: the role of high frequency financial market data," Working Papers 2014-12, University of Tasmania, Tasmanian School of Business and Economics.
    31. B. Shravan Kumar & Vadlamani Ravi & Rishabh Miglani, 2021. "Predicting Indian Stock Market Using the Psycho-Linguistic Features of Financial News," Annals of Data Science, Springer, vol. 8(3), pages 517-558, September.
    32. Dungey, Mardi & Matei, Marius & Treepongkaruna, Sirimon, 2020. "Examining stress in Asian currencies: A perspective offered by high frequency financial market data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    33. Agarwal, Arvind & Gupta, Aparna & Kumar, Arun & Tamilselvam, Srikanth G., 2019. "Learning risk culture of banks using news analytics," European Journal of Operational Research, Elsevier, vol. 277(2), pages 770-783.
    34. Lars Winkelmann & Markus Bibinger & Tobias Linzert, 2016. "ECB Monetary Policy Surprises: Identification Through Cojumps in Interest Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 613-629, June.
    35. Du, Ding & Hu, Ou & Wu, Hong, 2014. "Emerging market currency exposure: Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 28(C), pages 47-61.
    36. Chen, Yixiang & Ma, Feng & Zhang, Yaojie, 2019. "Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets," Energy Economics, Elsevier, vol. 81(C), pages 52-62.

  21. John Elder, Hong Miao, and Sanjay Ramchander, 2013. "Jumps in Oil Prices: The Role of Economic News," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).

    Cited by:

    1. Aymen Belgacem & Anna Creti & Khaled Guesmi & Amine Lahiani, 2015. "Volatility spillovers and macroeconomic announcements: evidence from crude oil markets," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2974-2984, June.
    2. Maslyuk-Escobedo, Svetlana & Rotaru, Kristian & Dokumentov, Alexander, 2017. "News sentiment and jumps in energy spot and futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 186-210.
    3. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    4. Mason, Charles F. & A. Wilmot, Neil, 2014. "Jump processes in natural gas markets," Energy Economics, Elsevier, vol. 46(S1), pages 69-79.
    5. Brandt, Michael W. & Gao, Lin, 2019. "Macro fundamentals or geopolitical events? A textual analysis of news events for crude oil," Journal of Empirical Finance, Elsevier, vol. 51(C), pages 64-94.
    6. Liu, Jing & Ma, Feng & Yang, Ke & Zhang, Yaojie, 2018. "Forecasting the oil futures price volatility: Large jumps and small jumps," Energy Economics, Elsevier, vol. 72(C), pages 321-330.
    7. Rousse, O. & Sévi, B., 2016. "Informed trading in oil-futures market," Working Papers 2016-07, Grenoble Applied Economics Laboratory (GAEL).
    8. Loughran, Tim & McDonald, Bill & Pragidis, Ioannis, 2019. "Assimilation of oil news into prices," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 105-118.
    9. Ma, Xiaohan, 2023. "Oil uncertainty and the price-cost markup: Evidence from U.S. data," Energy Economics, Elsevier, vol. 124(C).
    10. Adrian Fernandez‐Perez & Raquel López, 2023. "The effect of macroeconomic news announcements on the implied volatility of commodities: The role of survey releases," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1499-1530, November.
    11. Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2016. "Time series analysis of volatility in the petroleum pricing markets: the persistence, asymmetry and jumps in the returns series," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 40(3), pages 235-262, September.
    12. Gharib, Cheima & Mefteh-Wali, Salma & Serret, Vanessa & Ben Jabeur, Sami, 2021. "Impact of COVID-19 pandemic on crude oil prices: Evidence from Econophysics approach," Resources Policy, Elsevier, vol. 74(C).
    13. Chen, Zhonglu & Ye, Yong & Li, Xiafei, 2022. "Forecasting China's crude oil futures volatility: New evidence from the MIDAS-RV model and COVID-19 pandemic," Resources Policy, Elsevier, vol. 75(C).
    14. Neil A. Wilmot, 2019. "Heavy Metals: Might as Well Jump," IJFS, MDPI, vol. 7(2), pages 1-14, June.
    15. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2015. "Asymmetries in the response of economic activity to oil price increases and decreases?," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 108-133.
    16. Ajmi, Ahdi Noomen & Hammoudeh, Shawkat & Mokni, Khaled, 2021. "Detection of bubbles in WTI, brent, and Dubai oil prices: A novel double recursive algorithm," Resources Policy, Elsevier, vol. 70(C).
    17. Kam Fong Chan & Philip Gray, 2017. "Do Scheduled Macroeconomic Announcements Influence Energy Price Jumps?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(1), pages 71-89, January.
    18. Walid Bahloul & Rangan Gupta, 2018. "Impact of macroeconomic news surprises and uncertainty for major economies on returns and volatility of oil futures," International Economics, CEPII research center, issue 156, pages 247-253.
    19. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Novel and topical business news and their impact on stock market activities," Papers 1507.06477, arXiv.org.
    20. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Novel and topical business news and their impact on stock market activities," CARF F-Series CARF-F-366, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    21. Mason, Charles F. & Wilmot, Neil A., 2020. "Jumps in the convenience yield of crude oil," Resource and Energy Economics, Elsevier, vol. 60(C).
    22. Khalifa, Ahmed & Caporin, Massimiliano & Hammoudeh, Shawkat, 2015. "Spillovers between energy and FX markets: The importance of asymmetry, uncertainty and business cycle," Energy Policy, Elsevier, vol. 87(C), pages 72-82.
    23. Hong Miao & Sanjay Ramchander & Tianyang Wang & Jian Yang, 2018. "The impact of crude oil inventory announcements on prices: Evidence from derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 38-65, January.
    24. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Wang, Tianyang, 2016. "An examination of the flow characteristics of crude oil: Evidence from risk-neutral moments," Energy Economics, Elsevier, vol. 54(C), pages 213-223.
    25. López, Raquel, 2018. "The behaviour of energy-related volatility indices around scheduled news announcements: Implications for variance swap investments," Energy Economics, Elsevier, vol. 72(C), pages 356-364.
    26. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Novel and topical business news and their impact on stock market activities," UTokyo Price Project Working Paper Series 055, University of Tokyo, Graduate School of Economics.
    27. Ignatieva, Katja & Wong, Patrick, 2022. "Modelling high frequency crude oil dynamics using affine and non-affine jump–diffusion models," Energy Economics, Elsevier, vol. 108(C).
    28. Elder, John & Miao, Hong & Ramchander, Sanjay, 2014. "Price discovery in crude oil futures," Energy Economics, Elsevier, vol. 46(S1), pages 18-27.
    29. Berk, Istemi & Rauch, Jannes, 2016. "Regulatory interventions in the US oil and gas sector: How do the stock markets perceive the CFTC's announcements during the 2008 financial crisis?," Energy Economics, Elsevier, vol. 54(C), pages 337-348.
    30. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Yetkiner, Hakan, 2014. "Are there really bubbles in oil prices?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 631-638.
    31. Kam F. Chan & Philip Gray, 2018. "Volatility jumps and macroeconomic news announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(8), pages 881-897, August.
    32. Wang, Jiqian & Huang, Yisu & Ma, Feng & Chevallier, Julien, 2020. "Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? New evidence," Energy Economics, Elsevier, vol. 91(C).
    33. Katherine B. Ensor & Yu Han & Barbara Ostdiek & Stuart M. Turnbull, 2020. "Dynamic jump intensities and news arrival in oil futures markets," Journal of Asset Management, Palgrave Macmillan, vol. 21(4), pages 292-325, July.
    34. Ma, Feng & Zhang, Yaojie & Huang, Dengshi & Lai, Xiaodong, 2018. "Forecasting oil futures price volatility: New evidence from realized range-based volatility," Energy Economics, Elsevier, vol. 75(C), pages 400-409.
    35. Chen, Yixiang & Ma, Feng & Zhang, Yaojie, 2019. "Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets," Energy Economics, Elsevier, vol. 81(C), pages 52-62.
    36. Burns, Christopher B. & Kane, Stephen, 2022. "Arbitrage breakdown in WTI crude oil futures: An analysis of the events on April 20, 2020," Resources Policy, Elsevier, vol. 76(C).

  22. John Elder & Robert J. Elliott & Hong Miao, 2013. "Fractional differencing in discrete time," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 195-204, January.

    Cited by:

    1. Robert J. Elliott & Tak Kuen Siu, 2014. "Strategic Asset Allocation Under a Fractional Hidden Markov Model," Methodology and Computing in Applied Probability, Springer, vol. 16(3), pages 609-626, September.

  23. Elder, John & Miao, Hong & Ramchander, Sanjay, 2012. "Impact of macroeconomic news on metal futures," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 51-65.

    Cited by:

    1. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    2. Ye, Wuyi & Guo, Ranran & Jiang, Ying & Liu, Xiaoquan & Deschamps, Bruno, 2019. "Professional macroeconomic forecasts and Chinese commodity futures prices," Finance Research Letters, Elsevier, vol. 28(C), pages 130-136.
    3. Daniel Jubinski & Marc Tomljanovich, 2013. "Do FOMC minutes matter to markets? An intraday analysis of FOMC minutes releases on individual equity volatility and returns," Review of Financial Economics, John Wiley & Sons, vol. 22(3), pages 86-97, September.
    4. Hussain Shahzad, Syed Jawad & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2020. "Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin," Economic Modelling, Elsevier, vol. 87(C), pages 212-224.
    5. Osamah Al-Khazali & Elie Bouri & David Roubaud, 2018. "The impact of positive and negative macroeconomic news surprises: Gold versus Bitcoin," Economics Bulletin, AccessEcon, vol. 38(1), pages 373-382.
    6. Aymen Belgacem & Anna Creti & Khaled Guesmi & Amine Lahiani, 2015. "Volatility spillovers and macroeconomic announcements: evidence from crude oil markets," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2974-2984, June.
    7. Philippe Charlot & Vêlayoudom Marimoutou, 2014. "On the relationship between the prices of oil and the precious metals: Revisiting with a multivariate regime-switching decision tree," Working Papers hal-00980125, HAL.
    8. Doojin Ryu & Jinyoung Yu, 2022. "Sentiment‐dependent impact of funding liquidity shocks on futures market liquidity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 61-76, January.
    9. Sarafrazi, Soodabeh & Hammoudeh, Shawkat & AraújoSantos, Paulo, 2014. "Downside risk, portfolio diversification and the financial crisis in the euro-zone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 368-396.
    10. Maslyuk-Escobedo, Svetlana & Rotaru, Kristian & Dokumentov, Alexander, 2017. "News sentiment and jumps in energy spot and futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 186-210.
    11. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Economic news and the cross-section of commodity futures returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    12. Marcio Garcia & Marcelo Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "The impact of macroeconomic announcements in the Brazilian futures markets," Textos para discussão 623, Department of Economics PUC-Rio (Brazil).
    13. Chen, Jiayuan & Muckley, Cal B. & Bredin, Don, 2017. "Is information assimilated at announcements in the European carbon market?," Energy Economics, Elsevier, vol. 63(C), pages 234-247.
    14. Štefan Lyócsa & Peter Molnár, 2016. "Volatility forecasting of strategically linked commodity ETFs: gold-silver," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1809-1822, December.
    15. Banerjee, Ameet Kumar & Pradhan, H.K., 2022. "Intraday analysis of macroeconomic news surprises, and asymmetries in Indian benchmark bond," Finance Research Letters, Elsevier, vol. 45(C).
    16. Ruan, Qingsong & Huang, Ying & Jiang, Wei, 2016. "The exceedance and cross-correlations between the gold spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 139-151.
    17. Akihiro Omura & Neda Todorova, 2019. "The quantile dependence of commodity futures markets on news sentiment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 818-837, July.
    18. Zhou, Liyun & Huang, Jialiang, 2020. "Contagion of future-level sentiment in Chinese Agricultural Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    19. Baur, Dirk G. & Dimpfl, Thomas, 2018. "The asymmetric return-volatility relationship of commodity prices," Energy Economics, Elsevier, vol. 76(C), pages 378-387.
    20. Smales, Lee A. & Yang, Yi, 2015. "The importance of belief dispersion in the response of gold futures to macroeconomic announcements," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 292-302.
    21. Haidong Cai & Shamim Ahmed & Ying Jiang & Xiaoquan Liu, 2020. "The impact of US macroeconomic news announcements on Chinese commodity futures," Quantitative Finance, Taylor & Francis Journals, vol. 20(12), pages 1927-1966, December.
    22. Jubinski, Daniel & Tomljanovich, Marc, 2013. "Do FOMC minutes matter to markets? An intraday analysis of FOMC minutes releases on individual equity volatility and returns," Review of Financial Economics, Elsevier, vol. 22(3), pages 86-97.
    23. Gustavo S. Cortes & Marc D. Weidenmier, 2017. "Stock Volatility and the Great Depression," NBER Working Papers 23554, National Bureau of Economic Research, Inc.
    24. Fang, Libing & Yu, Honghai & Xiao, Wen, 2018. "Forecasting gold futures market volatility using macroeconomic variables in the United States," Economic Modelling, Elsevier, vol. 72(C), pages 249-259.
    25. Carl Chiarella & Boda Kang & Christina Sklibosios Nikitopoulos & Thuy-Duong To, 2013. "The Return-Volatility Relation in Commodity Futures Markets," Research Paper Series 336, Quantitative Finance Research Centre, University of Technology, Sydney.
    26. Guglielmo Maria Caporale & Alex Plastun, 2021. "Gold and oil prices: abnormal returns, momentum and contrarian effects," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 353-368, September.
    27. Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.
    28. Adrian Fernandez‐Perez & Raquel López, 2023. "The effect of macroeconomic news announcements on the implied volatility of commodities: The role of survey releases," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1499-1530, November.
    29. Liu, Guofang & Fang, Xi & Huang, Yuan & Zhao, Weidong, 2021. "Identifying the role of consumer and producer price index announcements in stock index futures price changes," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 87-101.
    30. Smales, L.A., 2017. "Commodity market volatility in the presence of U.S. and Chinese macroeconomic news," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 15-27.
    31. Smales, L.A., 2019. "Slopes, spreads, and depth: Monetary policy announcements and liquidity provision in the energy futures market," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 234-252.
    32. Ying Jiang & Neil Kellard & Xiaoquan Liu, 2020. "Night trading and market quality: Evidence from Chinese and US precious metal futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1486-1507, October.
    33. Ye, Wuyi & Guo, Ranran & Deschamps, Bruno & Jiang, Ying & Liu, Xiaoquan, 2021. "Macroeconomic forecasts and commodity futures volatility," Economic Modelling, Elsevier, vol. 94(C), pages 981-994.
    34. Liu, Pan & Power, Gabriel J. & Vedenov, Dmitry, 2021. "Fair-weather Friends? Sector-specific volatility connectedness and transmission," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 712-736.
    35. Salisu, Afees A. & Bouri, Elie & Gupta, Rangan, 2022. "Out-of-sample predictability of gold market volatility: The role of US Nonfarm Payroll," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 482-488.
    36. Banerjee, Ameet Kumar & Dionisio, Andreia & Pradhan, H.K. & Mahapatra, Biplab, 2021. "Hunting the quicksilver: Using textual news and causality analysis to predict market volatility," International Review of Financial Analysis, Elsevier, vol. 77(C).
    37. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    38. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    39. Liang, Qi & Sun, Wenjia & Li, Wenyu & Yu, Fengyan, 2021. "Media effects matter: Macroeconomic announcements in the gold futures market," Economic Modelling, Elsevier, vol. 96(C), pages 1-12.
    40. Bams, Dennis & Blanchard, Gildas & Honarvar, Iman & Lehnert, Thorsten, 2017. "Does oil and gold price uncertainty matter for the stock market?," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 270-285.
    41. Crego, Julio A., 2020. "Why does public news augment information asymmetries?," Journal of Financial Economics, Elsevier, vol. 137(1), pages 72-89.
    42. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
    43. Marc Bohmann, 2020. "Price Discovery and Information Asymmetry in Equity and Commodity Futures Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2020.
    44. Nikkinen, Jussi & Rothovius, Timo, 2019. "The EIA WPSR release, OVX and crude oil internet interest," Energy, Elsevier, vol. 166(C), pages 131-141.
    45. Rana, Hafiz Muhammad Usman & O'Connor, Fergal, 2023. "Domestic macroeconomic determinants of precious metals prices in developed and emerging economies: An international analysis of the long and short run," International Review of Financial Analysis, Elsevier, vol. 89(C).
    46. TRIFU, Cosmin & BLAGA, Florin & MIHAI, Georgian Danut, 2022. "Pandemic. A Non-Linear Analysis," Journal of Financial and Monetary Economics, Centre of Financial and Monetary Research "Victor Slavescu", vol. 10(1), pages 184-189, October.
    47. Dimitrios I. Vortelinos, 2015. "The Effect of Macro News on Volatility and Jumps," Annals of Economics and Finance, Society for AEF, vol. 16(2), pages 425-447, November.
    48. Wang, Yang & Cao, Xinbang & Sui, Xiuping & Zhao, Wenxi, 2019. "How do black swan events go global? -Evidence from US reserves effects on TOCOM gold futures prices," Finance Research Letters, Elsevier, vol. 31(C).
    49. Nicolas Merener, 2016. "Concentrated Production and Conditional Heavy Tails in Commodity Returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 46-65, January.
    50. Christopher F Baum & Alexander Kurov & Marketa W. Halova, 2013. "What do Chinese Macro Announcements Tell Us About the World Economy?," Boston College Working Papers in Economics 834, Boston College Department of Economics, revised 01 Jun 2015.
    51. Vortelinos, Dimitrios I. & Koulakiotis, Athanasios & Tsagkanos, Athanasios, 2017. "Intraday analysis of macroeconomic news surprises and asymmetries in mini-futures markets," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 150-168.
    52. Azimli, Asil, 2022. "Degree and structure of return dependence among commodities, energy stocks and international equity markets during the post-COVID-19 period," Resources Policy, Elsevier, vol. 77(C).
    53. Tarek Chebbi, 2021. "The response of precious metal futures markets to unconventional monetary surprises in the presence of uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1897-1916, April.
    54. Marc Bohmann & Vinay Patel, 2020. "Information Leakage in Energy Derivatives around News Announcements," Published Paper Series 2020-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    55. Smimou, K., 2017. "Does gold Liquidity learn from the greenback or the equity?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 461-479.
    56. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    57. Gkillas, Konstantinos & Konstantatos, Christoforos & Tsagkanos, Athanasios & Siriopoulos, Costas, 2021. "Do economic news releases affect tail risk? Evidence from an emerging market," Finance Research Letters, Elsevier, vol. 40(C).
    58. John Elder, Hong Miao, and Sanjay Ramchander, 2013. "Jumps in Oil Prices: The Role of Economic News," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    59. Smales, L.A. & Lucey, B.M., 2019. "The influence of investor sentiment on the monetary policy announcement liquidity response in precious metal markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 60(C), pages 19-38.
    60. Haugom, Erik & Ray, Rina, 2017. "Heterogeneous traders, liquidity, and volatility in crude oil futures market," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 36-49.
    61. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    62. Semeyutin, Artur & Downing, Gareth, 2022. "Co-jumps in the U.S. interest rates and precious metals markets and their implications for investors," International Review of Financial Analysis, Elsevier, vol. 81(C).
    63. Chemkha, Rahma & BenSaïda, Ahmed & Ghorbel, Ahmed & Tayachi, Tahar, 2021. "Hedge and safe haven properties during COVID-19: Evidence from Bitcoin and gold," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 71-85.
    64. Libo Yin & Liyan Han, 2016. "Macroeconomic impacts on commodity prices: China vs. the United States," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 489-500, March.
    65. Saggu, Aman, 2022. "The Intraday Bitcoin Response to Tether Minting and Burning Events: Asymmetry, Investor Sentiment, and “Whale Alerts” on Twitter," Finance Research Letters, Elsevier, vol. 49(C).
    66. Aharon, David Y. & Qadan, Mahmoud, 2018. "What drives the demand for information in the commodity market?," Resources Policy, Elsevier, vol. 59(C), pages 532-543.
    67. Khalifa, Ahmed & Caporin, Massimiliano & Hammoudeh, Shawkat, 2015. "Spillovers between energy and FX markets: The importance of asymmetry, uncertainty and business cycle," Energy Policy, Elsevier, vol. 87(C), pages 72-82.
    68. Hong Miao & Sanjay Ramchander & Tianyang Wang & Jian Yang, 2018. "The impact of crude oil inventory announcements on prices: Evidence from derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 38-65, January.
    69. Mokni, Khaled & Youssef, Manel & Ajmi, Ahdi Noomen, 2022. "COVID-19 pandemic and economic policy uncertainty: The first test on the hedging and safe haven properties of cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 60(C).
    70. Wen, Shaobo & An, Haizhong & Huang, Shupei & Liu, Xueyong, 2019. "Dynamic impact of China's stock market on the international commodity market," Resources Policy, Elsevier, vol. 61(C), pages 564-571.
    71. Nicolau, Mihaela & Palomba, Giulio, 2015. "Dynamic relationships between spot and futures prices. The case of energy and gold commodities," Resources Policy, Elsevier, vol. 45(C), pages 130-143.
    72. Gil, Cohen, 2022. "Intraday Trading of Precious Metals Futures Using Algorithmic Systems," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    73. Ma, Richie Ruchuan & Xiong, Tao, 2021. "Price explosiveness in nonferrous metal futures markets," Economic Modelling, Elsevier, vol. 94(C), pages 75-90.
    74. Martin Hauptfleisch, 2019. "Financial Decision-Making Using Data," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2019.
    75. Zheng, Yao, 2015. "The linkage between aggregate investor sentiment and metal futures returns: A nonlinear approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 128-142.
    76. Xie, Xiaoyu & Zhu, Heliang, 2021. "The role of gold futures in mitigating the impact of economic uncertainty on spot prices: Evidence from China," Research in International Business and Finance, Elsevier, vol. 56(C).
    77. Tursoy, Turgut & Faisal, Faisal & Berk, Niyazi & Shahbaz, Muhammad, 2018. "How do Stock Prices and Metal Prices Contribute to Economic Activity in Turkey? The Importance of Linear and Non-linear ARDL," MPRA Paper 88899, University Library of Munich, Germany.
    78. Sun, Bianxia & Gao, Yang, 2020. "Market liquidity and macro announcement around intraday jumps: Evidence from Chinese stock index futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    79. Neeraj J. Gupta & Vitaliy Strohush & Reilly White, 2019. "Investor reaction to simultaneous news releases: unemployment vs. earnings," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 735-749, October.
    80. Mihaela NICOLAU & Giulio PALOMBA & Ilaria TRAINI, 2013. "Are Futures Prices Influenced by Spot;Prices or Vice-versa? An Analysis of Crude;Oil, Natural Gas and Gold Markets," Working Papers 394, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    81. Julio A. Crego, 2017. "Does Public News Decrease Information Asymmetries? Evidence from the Weekly Petroleum Status Report," Working Papers wp2017_1714, CEMFI.
    82. Muhammad Kamran Khan & Jian‐Zhou Teng & Muhammad Imran Khan & Muhammad Fayaz Khan, 2023. "Stock market reaction to macroeconomic variables: An assessment with dynamic autoregressive distributed lag simulations," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2436-2448, July.
    83. Goodell, John W. & Alon, Ilan & Chiaramonte, Laura & Dreassi, Alberto & Paltrinieri, Andrea & Piserà, Stefano, 2023. "Risk substitution in cryptocurrencies: Evidence from BRICS announcements," Emerging Markets Review, Elsevier, vol. 54(C).
    84. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.
    85. Apergis, Nicholas, 2015. "The role of FOMC minutes for US asset prices before and after the 2008 crisis: Evidence from GARCH volatility modeling," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 100-107.
    86. Mukherjee, Abhiroop & Panayotov, George & Shon, Janghoon, 2021. "Eye in the sky: Private satellites and government macro data," Journal of Financial Economics, Elsevier, vol. 141(1), pages 234-254.
    87. Aymen Belgacem & Amine Lahiani, 2012. "More on the impact of US macroeconomic announcements: Evidence from French and German stock markets' volatility," Economics Bulletin, AccessEcon, vol. 32(2), pages 1509-1526.
    88. Kocaarslan, Baris & Soytas, Ugur, 2021. "Reserve currency and the volatility of clean energy stocks: The role of uncertainty," Energy Economics, Elsevier, vol. 104(C).
    89. Smales, L.A., 2021. "Geopolitical risk and volatility spillovers in oil and stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 358-366.
    90. Agyei-Ampomah, Sam & Gounopoulos, Dimitrios & Mazouz, Khelifa, 2014. "Does gold offer a better protection against losses in sovereign debt bonds than other metals?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 507-521.
    91. Sobti, Neharika & Sehgal, Sanjay & Ilango, Balakrishnan, 2021. "How do macroeconomic news surprises affect round-the-clock price discovery of gold?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    92. Vladimir Filimonov & David Bicchetti & Nicolas Maystre, 2013. "Quantification of the High Level of Endogeneity and of Structural Regime Shifts in Commodity Markets," UNCTAD Discussion Papers 212, United Nations Conference on Trade and Development.

  24. Robert J. Elliott & John W. Lau & Hong Miao & Tak Kuen Siu, 2012. "Viterbi-Based Estimation for Markov Switching GARCH Model," Applied Mathematical Finance, Taylor & Francis Journals, vol. 19(3), pages 219-231, August.

    Cited by:

    1. Monica Billio & Roberto Casarin & Anthony Osuntuyi, 2012. "Efficient Gibbs Sampling for Markov Switching GARCH Models," Working Papers 2012:35, Department of Economics, University of Venice "Ca' Foscari".
    2. Wee, Damien C.H. & Chen, Feng & Dunsmuir, William T.M., 2022. "Likelihood inference for Markov switching GARCH(1,1) models using sequential Monte Carlo," Econometrics and Statistics, Elsevier, vol. 21(C), pages 50-68.
    3. June Cao & Chris Patel, 2020. "The role of the national institutional environment in IFRS convergence: a new approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3367-3406, December.

  25. Arjun Chatrath & Hong Miao & Sanjay Ramchander, 2012. "Does the price of crude oil respond to macroeconomic news?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(6), pages 536-559, June.

    Cited by:

    1. Karali, Berna & Ramirez, Octavio A., 2014. "Macro determinants of volatility and volatility spillover in energy markets," Energy Economics, Elsevier, vol. 46(C), pages 413-421.
    2. Aymen Belgacem & Anna Creti & Khaled Guesmi & Amine Lahiani, 2015. "Volatility spillovers and macroeconomic announcements: evidence from crude oil markets," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2974-2984, June.
    3. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2021. "Dynamic impact of the U.S. monetary policy on oil market returns and volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 159-169.
    4. Rousse, O. & Sévi, B., 2016. "Informed trading in oil-futures market," Working Papers 2016-07, Grenoble Applied Economics Laboratory (GAEL).
    5. Soohyeon Kim & Jungho Baek & Eunnyeong Heo, 2020. "Crude oil inventories: The two faces of Janus?," Empirical Economics, Springer, vol. 59(2), pages 1003-1018, August.
    6. Smales, L.A., 2017. "Commodity market volatility in the presence of U.S. and Chinese macroeconomic news," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 15-27.
    7. Fernandez-Perez, Adrian & Frijns, Bart & Tourani-Rad, Alireza, 2016. "Contemporaneous interactions among fuel, biofuel and agricultural commodities," Energy Economics, Elsevier, vol. 58(C), pages 1-10.
    8. Kurov, Alexander & Stan, Raluca, 2018. "Monetary policy uncertainty and the market reaction to macroeconomic news," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 127-142.
    9. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
    10. Nikkinen, Jussi & Rothovius, Timo, 2019. "The EIA WPSR release, OVX and crude oil internet interest," Energy, Elsevier, vol. 166(C), pages 131-141.
    11. Rosa, Carlo, 2014. "The high-frequency response of energy prices to U.S. monetary policy: Understanding the empirical evidence," Energy Economics, Elsevier, vol. 45(C), pages 295-303.
    12. Tarek Chebbi, 2021. "The response of precious metal futures markets to unconventional monetary surprises in the presence of uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1897-1916, April.
    13. Marc Bohmann & Vinay Patel, 2020. "Information Leakage in Energy Derivatives around News Announcements," Published Paper Series 2020-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    14. Asger Lunde & Miha Torkar, 2020. "Including news data in forecasting macro economic performance of China," Computational Management Science, Springer, vol. 17(4), pages 585-611, December.
    15. John Elder, Hong Miao, and Sanjay Ramchander, 2013. "Jumps in Oil Prices: The Role of Economic News," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    16. Kam Fong Chan & Philip Gray, 2017. "Do Scheduled Macroeconomic Announcements Influence Energy Price Jumps?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(1), pages 71-89, January.
    17. Walid Bahloul & Rangan Gupta, 2018. "Impact of macroeconomic news surprises and uncertainty for major economies on returns and volatility of oil futures," International Economics, CEPII research center, issue 156, pages 247-253.
    18. Yang, Yang & Zhang, Jiqiang & Chen, Sanpan, 2023. "Information effects of monetary policy announcements on oil price," Journal of Commodity Markets, Elsevier, vol. 30(C).
    19. Hong Miao & Sanjay Ramchander & Tianyang Wang & Jian Yang, 2018. "The impact of crude oil inventory announcements on prices: Evidence from derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 38-65, January.
    20. Stoupos, Nikolaos & Kiohos, Apostolos, 2021. "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, vol. 70(C).
    21. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Wang, Tianyang, 2016. "An examination of the flow characteristics of crude oil: Evidence from risk-neutral moments," Energy Economics, Elsevier, vol. 54(C), pages 213-223.
    22. López, Raquel, 2018. "The behaviour of energy-related volatility indices around scheduled news announcements: Implications for variance swap investments," Energy Economics, Elsevier, vol. 72(C), pages 356-364.
    23. Noguera, José, 2013. "Oil prices: Breaks and trends," Energy Economics, Elsevier, vol. 37(C), pages 60-67.
    24. Diandian Ma & Benfu Lv & Xuerong Li & Xiuting Li & Shuqin Liu, 2023. "Heterogeneous Impacts of Policy Sentiment with Different Themes on Real Estate Market: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    25. Ivan, Miruna-Daniela & Banti, Chiara & Kellard, Neil, 2022. "Prime money market funds regulation, global liquidity, and the crude oil market," Journal of International Money and Finance, Elsevier, vol. 127(C).
    26. Kam F. Chan & Philip Gray, 2018. "Volatility jumps and macroeconomic news announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(8), pages 881-897, August.
    27. Katherine B. Ensor & Yu Han & Barbara Ostdiek & Stuart M. Turnbull, 2020. "Dynamic jump intensities and news arrival in oil futures markets," Journal of Asset Management, Palgrave Macmillan, vol. 21(4), pages 292-325, July.

  26. Ahmed A. A. Khalifa & Hong Miao & Sanjay Ramchander, 2011. "Return distributions and volatility forecasting in metal futures markets: Evidence from gold, silver, and copper," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 55-80, January.

    Cited by:

    1. Hammoudeh, S.M. & Malik, F. & McAleer, M.J., 2010. "Risk management of precious metals," Econometric Institute Research Papers EI 2010-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Sánchez Lasheras, Fernando & de Cos Juez, Francisco Javier & Suárez Sánchez, Ana & Krzemień, Alicja & Riesgo Fernández, Pedro, 2015. "Forecasting the COMEX copper spot price by means of neural networks and ARIMA models," Resources Policy, Elsevier, vol. 45(C), pages 37-43.
    3. Caporin, Massimiliano & Ranaldo, Angelo & Velo, Gabriel G., 2014. "Precious Metals Under the Microscope: A High-Frequency Analysis," Working Papers on Finance 1409, University of St. Gallen, School of Finance.
    4. Huang, Wen & Huang, Zhuo & Matei, Marius & Wang, Tianyi, 2012. "Price Volatility Forecast for Agricultural Commodity Futures： The Role of High Frequency Data," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 83-103, December.
    5. S. Maria Immanuvel & D. Lazar, 2023. "Does Information Spillover and Leverage Effect Exist in World Gold Markets?," Global Business Review, International Management Institute, vol. 24(3), pages 475-487, June.
    6. Jonathan Batten & Brian Lucey & Frank McGroarty & Maurice Peat & Andrew Urquhart, 2017. "Stylized facts of intraday precious metals," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-21, April.
    7. Sinha, Pankaj & Mathur, Kritika, 2013. "A study on the Price Behavior of Base Metals traded in India," MPRA Paper 47028, University Library of Munich, Germany.
    8. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    9. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    10. Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    11. Antonakakis, Nikolaos & Kizys, Renatas, 2015. "Dynamic spillovers between commodity and currency markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 303-319.
    12. Zaremba, Adam & Kizys, Renatas & Aharon, David Y. & Demir, Ender, 2020. "Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe," Finance Research Letters, Elsevier, vol. 35(C).
    13. Guo, Jin, 2018. "Co-movement of international copper prices, China's economic activity, and stock returns: Structural breaks and volatility dynamics," Global Finance Journal, Elsevier, vol. 36(C), pages 62-77.
    14. Tangyong Liu & Xu Gong & Boqiang Lin, 2021. "Analyzing the frequency dynamics of volatility spillovers across precious and industrial metal markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1375-1396, September.
    15. Sinha, Pankaj & Mathur, Kritika, 2016. "Impact of Global Financial Crisis and Implied Volatility in the Equity Market on Gold Futures Traded on Multi Commodity Exchange, India," MPRA Paper 72966, University Library of Munich, Germany.
    16. Xu Gong & Boqiang Lin, 2018. "Structural breaks and volatility forecasting in the copper futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 290-339, March.
    17. Wang, Chao & Zhang, Xinyi & Wang, Minggang & Lim, Ming K. & Ghadimi, Pezhman, 2019. "Predictive analytics of the copper spot price by utilizing complex network and artificial neural network techniques," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    18. Zaremba, Adam & Kizys, Renatas & Aharon, David Y., 2021. "Volatility in International Sovereign Bond Markets: The role of government policy responses to the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 43(C).
    19. Wei Long & Dingding Li & Qi Li, 2016. "Testing explosive behavior in the gold market," Empirical Economics, Springer, vol. 51(3), pages 1151-1164, November.
    20. Claudiu Tiberiu Albulescu & Eugenia Grecu, 2023. "Government Interventions and Sovereign Bond Market Volatility during COVID-19: A Quantile Analysis," Mathematics, MDPI, vol. 11(5), pages 1-14, February.
    21. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2021. "Economic drivers of commodity volatility: The case of copper," Resources Policy, Elsevier, vol. 73(C).
    22. Claudiu Tiberiu Albulescu & Daniel Goyeau & Aviral Kumar Tiwari, 2017. "Co-movements and contagion between international stock index futures markets," Empirical Economics, Springer, vol. 52(4), pages 1529-1568, June.
    23. Stephanos Papadamou & Vasilios Sogiakas, 2018. "The informational content of unconventional monetary policy on precious metal markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(1), pages 16-36, January.
    24. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2020. "A random walk through the trees: Forecasting copper prices using decision learning methods," Resources Policy, Elsevier, vol. 69(C).
    25. He, Kaijian & Liu, Youjin & Yu, Lean & Lai, Kin Keung, 2016. "Multiscale dependence analysis and portfolio risk modeling for precious metal markets," Resources Policy, Elsevier, vol. 50(C), pages 224-233.
    26. Shao, Liuguo & Zhang, Hua, 2020. "The impact of oil price on the clean energy metal prices: A multi-scale perspective," Resources Policy, Elsevier, vol. 68(C).
    27. Libing Fang & Baizhu Chen & Honghai Yu & Yichuo Qian, 2018. "The importance of global economic policy uncertainty in predicting gold futures market volatility: A GARCH‐MIDAS approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 413-422, March.
    28. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    29. Tanin, Tauhidul Islam & Sarker, Ashutosh & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2021. "Do volatility indices diminish gold's appeal as a safe haven to investors before and during the COVID-19 pandemic?," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 214-235.
    30. Neil A. Wilmot, 2019. "Heavy Metals: Might as Well Jump," IJFS, MDPI, vol. 7(2), pages 1-14, June.
    31. Tim Pullen & Karen Benson & Robert Faff, 2014. "A Comparative Analysis of the Investment Characteristics of Alternative Gold Assets," Abacus, Accounting Foundation, University of Sydney, vol. 50(1), pages 76-92, March.
    32. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2020. "How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics," Energy Economics, Elsevier, vol. 90(C).
    33. Mastroeni, Loretta & Vellucci, Pierluigi & Naldi, Maurizio, 2018. "Co-existence of stochastic and chaotic behaviour in the copper price time series," Resources Policy, Elsevier, vol. 58(C), pages 295-302.
    34. Fernandez-Perez, Adrian & Frijns, Bart & Gafiatullina, Ilnara & Tourani-Rad, Alireza, 2022. "Profit margin hedging in the New Zealand dairy farming industry," Journal of Commodity Markets, Elsevier, vol. 26(C).
    35. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    36. Caporin, Massimiliano & Ranaldo, Angelo & Velo, Gabriel G., 2013. "Stylized Facts and Dynamic Modeling of High-frequency Data on Precious Metals," Working Papers on Finance 1318, University of St. Gallen, School of Finance.
    37. Hoque, Mohammad Enamul & Soo-Wah, Low & Billah, Mabruk, 2023. "Time-frequency connectedness and spillover among carbon, climate, and energy futures: Determinants and portfolio risk management implications," Energy Economics, Elsevier, vol. 127(PB).
    38. A. Khalifa & S. Hammoudeh & E. Otranto & S. Ramchander, 2012. "Volatility Transmission across Currency, Commodity and Equity Markets under Multi-Chain Regime Switching: Implications for Hedging and Portfolio Allocation," Working Paper CRENoS 201214, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    39. Ehsan Ahmed & J. Rosser & Jamshed Uppal, 2014. "Are there nonlinear speculative bubbles in commodities prices?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(3), pages 415-438.

  27. Hong Miao & Sanjay Ramchander & Marc W. Simpson, 2011. "Return and Volatility Transmission in U.S. Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(4), pages 701-741, December.

    Cited by:

    1. Jeffrey P. Cohen & Jeffrey Zabel, 2020. "Local House Price Diffusion," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 710-743, September.
    2. Füss, Roland & Zietz, Joachim, 2016. "The economic drivers of differences in house price inflation rates across MSAs," Journal of Housing Economics, Elsevier, vol. 31(C), pages 35-53.
    3. Dimitrios Gounopoulos & Kyriaki Kosmidou & Dimitrios Kousenidis & Victoria Patsika, 2019. "The investigation of the dynamic linkages between real estate market and stock market in Greece," The European Journal of Finance, Taylor & Francis Journals, vol. 25(7), pages 647-669, May.
    4. Bruce Morley & Dennis Thomas, 2016. "An Empirical Analysis of UK House Price Risk Variation by Property Type," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 45-56, May.
    5. Damian S. Damianov & Diego Escobari, 2021. "Getting on and Moving Up the Property Ladder: Real Hedging in the U.S. Housing Market Before and After the Crisis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1201-1237, December.
    6. Nicholas Apergis & James E. Payne, 2020. "Modeling the time varying volatility of housing returns: Further evidence from the U.S. metropolitan condominium markets," Review of Financial Economics, John Wiley & Sons, vol. 38(1), pages 24-33, January.
    7. I-Chun Tsai & Che-Chun Lin, 2019. "Variations and Influences of Connectedness among US Housing Markets," International Real Estate Review, Global Social Science Institute, vol. 22(1), pages 27-58.
    8. Choi, Chi-Young & Hansz, J. Andrew, 2021. "From banking integration to housing market integration - Evidence from the comovement of U.S. Metropolitan House Prices," Journal of Financial Stability, Elsevier, vol. 54(C).
    9. Escobari, Diego & Damianov, Damian & Bello, Andres, 2012. "A time series test to identify housing bubbles," MPRA Paper 44360, University Library of Munich, Germany.
    10. Xiandeng Jiang & Le Chang & Yanlin Shi, 2023. "Housing price diffusions in mainland China: evidence from a spatially penalized graphical VAR model," Empirical Economics, Springer, vol. 64(2), pages 765-795, February.
    11. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    12. Geoffrey M. Ngene & Daniel P. Sohn & M. Kabir Hassan, 2017. "Time-Varying and Spatial Herding Behavior in the US Housing Market: Evidence from Direct Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 482-514, May.
    13. Tsai, I-Chun, 2022. "Changes in social behavior and impacts of the COVID-19 pandemic on regional housing markets: Independence and risk," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    14. Martin Hoesli & Kustrim Reka, 2011. "Volatility Spillovers, Comovements and Contagion in Securitized Real Estate Markets," ERES eres2011_63, European Real Estate Society (ERES).
    15. Kyriaki Begiazi & Paraskevi Katsiampa, 2019. "Modelling UK House Prices with Structural Breaks and Conditional Variance Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 58(2), pages 290-309, February.
    16. I-Chun Tsai, 2022. "The connectedness between Hong Kong and China real estate markets: spillover effect and information transmission," Empirical Economics, Springer, vol. 63(1), pages 287-311, July.
    17. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    18. Damianov, Damian S & Escobari, Diego, 2015. "Long-Run Equilibrium Shift and Short-Run Dynamics of U.S. Home Price Tiers during the Housing Bubble," MPRA Paper 65765, University Library of Munich, Germany.
    19. Yang, Jian & Yu, Ziliang & Deng, Yongheng, 2018. "Housing price spillovers in China: A high-dimensional generalized VAR approach," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 98-114.
    20. Yang, Jian & Tong, Meng & Yu, Ziliang, 2021. "Housing market spillovers through the lens of transaction volume: A new spillover index approach," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 351-378.
    21. Nguyen, Thi Thu Ha & Naeem, Muhammad Abubakr & Balli, Faruk & Balli, Hatice Ozer & Syed, Iqbal, 2021. "Information transmission between oil and housing markets," Energy Economics, Elsevier, vol. 95(C).
    22. Chang, Kuang-Liang, 2020. "Are cyclical patterns of international housing markets interdependent?," Economic Modelling, Elsevier, vol. 88(C), pages 14-24.
    23. MeiChi Huang, 2021. "Regime switches and permanent changes in impacts of housing risk factors on MSA‐level housing returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 310-342, January.
    24. Jarl G. Kallberg & Crocker H. Liu & Paolo Pasquariello, 2014. "On the Price Comovement of U.S. Residential Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(1), pages 71-108, March.
    25. MeiChi Huang & LinYing Yeh, 2015. "Should the Fed take extra action for the recent housing bubble? Evidence from asymmetric transitory shocks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(4), pages 762-781, October.
    26. Huang, MeiChi, 2018. "Time-varying diversification strategies: The roles of state-level housing assets in optimal portfolios," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 145-172.
    27. JingJing (Justine) Wang & John S. Croucher, 2021. "Information linkages among National, NSW, VIC, and QLD real estate markets in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3207-3234, June.
    28. Bing Zhu & Stanimira Milcheva, 2020. "The Pricing of Spatial Linkages in Companies’ Underlying Assets," The Journal of Real Estate Finance and Economics, Springer, vol. 61(3), pages 443-475, October.
    29. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2021. "A regional decomposition of US housing prices and volume: market dynamics and Portfolio diversification," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 279-307, April.
    30. I-Chun Tsai, 2019. "Interregional correlations in the US housing market at three price tiers," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 1-24, August.
    31. I-Chun Tsai, 2018. "The cause and outcomes of the ripple effect: housing prices and transaction volume," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 351-373, September.
    32. MeiChi Huang, 2019. "Risk diversification gains from metropolitan housing assets," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 453-481, October.
    33. Ming-Chu Chiang & I-Chun Tsai, 2016. "Ripple effect and contagious effect in the US regional housing markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 55-82, January.
    34. Ming-Chu Chiang & I-Chun Tsai, 2016. "Ripple effect and contagious effect in the US regional housing markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 55-82, January.
    35. Prodosh Simlai, 2018. "Spatial Dependence, Idiosyncratic Risk, and the Valuation of Disaggregated Housing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 57(2), pages 192-230, August.
    36. Simlai, Prodosh, 2019. "Subprime credit, idiosyncratic risk, and foreclosures," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 175-189.
    37. So Jung Hwang & Hyunduk Suh, 2018. "Analyzing Dynamic Connectedness in Korean Housing Markets," Inha University IBER Working Paper Series 2018-4, Inha University, Institute of Business and Economic Research.
    38. Zeno Adams & Roland Füss & Felix Schindler, 2015. "The Sources of Risk Spillovers among U.S. REITs: Financial Characteristics and Regional Proximity," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(1), pages 67-100, March.
    39. Paraskevi Katsiampa & Kyriaki Begiazi, 2019. "An empirical analysis of the Scottish housing market by property type," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 559-583, September.
    40. James E. Payne & Xiaojin Sun, 2023. "Time‐varying connectedness of metropolitan housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 470-502, March.
    41. Chyi Lin Lee, 2017. "An examination of the risk-return relation in the Australian housing market," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 10(3), pages 431-449, June.
    42. Guancen Wu & Jing Li & Dan Chong & Xing Niu, 2021. "Analysis on the Housing Price Relationship Network of Large and Medium-Sized Cities in China Based on Gravity Model," Sustainability, MDPI, vol. 13(7), pages 1-20, April.
    43. Milcheva, Stanimira & Zhu, Bing, 2016. "Bank integration and co-movements across housing markets," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 148-171.
    44. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2019. "A Regional Decomposition of US Housing Prices and Volume: Market Dynamics and Economic Diversification Opportunities," Working Papers in Economics & Finance 2019-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    45. Chang, Kuang-Liang, 2020. "An investigation on mixed housing-cycle structures and asymmetric tail dependences," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

  28. Robert Elliott & Hong Miao, 2009. "VaR and expected shortfall: a non-normal regime switching framework," Quantitative Finance, Taylor & Francis Journals, vol. 9(6), pages 747-755.

    Cited by:

    1. Dobrislav Dobrev∗ & Travis D. Nesmith & Dong Hwan Oh, 2017. "Accurate Evaluation of Expected Shortfall for Linear Portfolios with Elliptically Distributed Risk Factors," JRFM, MDPI, vol. 10(1), pages 1-14, February.
    2. Jiliang Sheng & Juchao Li & Jun Yang, 2022. "Tail Dependency and Risk Spillover between Oil Market and Chinese Sectoral Stock Markets—An Assessment of the 2013 Refined Oil Pricing Reform," Energies, MDPI, vol. 15(16), pages 1-19, August.

  29. Robert J. Elliott & Hong Miao & Jin Yu, 2009. "Investment Timing Under Regime Switching," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 443-463.

    Cited by:

    1. Ali Al-Aradi & Alvaro Cartea & Sebastian Jaimungal, 2018. "Technical Uncertainty in Real Options with Learning," Papers 1803.05831, arXiv.org, revised Jul 2018.
    2. Jeon, Haejun & Nishihara, Michi, 2015. "The effects of business cycle and debt maturity on a firm's investment and default decisions," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 326-351.
    3. Jeon, Haejun & Nishihara, Michi, 2014. "Macroeconomic conditions and a firm’s investment decisions," Finance Research Letters, Elsevier, vol. 11(4), pages 398-409.
    4. Guglielmo D’Amico & Giovanni Villani, 2021. "Valuation of R&D compound option using Markov chain approach," Annals of Finance, Springer, vol. 17(3), pages 379-404, September.

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