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Chun Liu

Not to be confused with: Chun Chu Liu

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Zhuo Chen & Zhiguo He & Chun Liu, 2017. "The Financing of Local Government in China: Stimulus Loan Wanes and Shadow Banking Waxes," NBER Working Papers 23598, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jaehyuk Choi & Lei Lu & Heungju Park & Sungbin Sohn, 2022. "The financial value of the within-government political network: Evidence from Chinese municipal corporate bonds," Papers 2201.01160, arXiv.org.
    2. Markus K. Brunnermeier & Michael Sockin & Wei Xiong, 2017. "China's Gradualistic Economic Approach and Financial Markets," NBER Working Papers 23194, National Bureau of Economic Research, Inc.
    3. Allen, Franklin & Qian, Yiming & Tu, Guoqian & Yu, Frank, 2019. "Entrusted loans: A close look at China's shadow banking system," Journal of Financial Economics, Elsevier, vol. 133(1), pages 18-41.
    4. Paul W. Wilson & Shirong Zhao, 2023. "Investigating the performance of Chinese banks over 2007–2014," Annals of Operations Research, Springer, vol. 321(1), pages 663-692, February.
    5. Guonan Ma & Jinzhao Chen, 2019. "The role of internally financed capex in rising Chinese corporate debts," Post-Print halshs-03468357, HAL.
    6. Luintel, Kul B & Matthews, Kent & Minford, Lucy & Valentinyi, Akos & Wang, Baoshun, 2020. "The role of Provincial Government Spending Composition in growth and convergence in China," Economic Modelling, Elsevier, vol. 90(C), pages 117-134.
    7. Zhang, Min & Zhang, Yahong, 2022. "Monetary stimulus policy in China: The bank credit channel," China Economic Review, Elsevier, vol. 74(C).
    8. Anderson, Ronald W., 2020. "Who bears risk in China's non-financial enterprise debt?," LSE Research Online Documents on Economics 118879, London School of Economics and Political Science, LSE Library.
    9. Jianchao Fan & Jing Liu & Yinggang Zhou, 2021. "Investing like conglomerates: is diversification a blessing or curse for China's local governments?," BIS Working Papers 920, Bank for International Settlements.
    10. Marlene Amstad & Zhiguo He, 2019. "Chinese Bond Market and Interbank Market," NBER Working Papers 25549, National Bureau of Economic Research, Inc.
    11. Wang, He & Yao, Yang & Zhou, Yue, 2022. "Markets price politicians: Evidence from China’s municipal bond markets," Journal of Economics and Business, Elsevier, vol. 122(C).
    12. Fan, Jianyong & Liu, Yu & Zhang, Qi & Zhao, Peng, 2022. "Does government debt impede firm innovation? Evidence from the rise of LGFVs in China," Journal of Banking & Finance, Elsevier, vol. 138(C).
    13. Cai, Yue, 2021. "Expansionary monetary policy and credit allocation: Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    14. Jingxian Zou & Rundong Ji & Rui Mao, 2022. "The two‐way interaction between population aging and industrial transformation," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(2), pages 311-335, April.
    15. Xin, Fangkun & Qian, Yilei, 2022. "Does fiscal decentralization promote green utilization of land resources? Evidence from Chinese local governments," Resources Policy, Elsevier, vol. 79(C).
    16. Zhang, Yuming & Xing, Chao & Zhang, Quanli & Zhang, Xinyue, 2022. "Crises and changes: The impacts of CSR expenditure on loan and subsidy allocation in China's Pre- and Post-Pandemic periods," Finance Research Letters, Elsevier, vol. 47(PB).
    17. Feng, Yi & Wu, Fulong & Zhang, Fangzhu, 2022. "The development of local government financial vehicles in China: A case study of Jiaxing Chengtou," Land Use Policy, Elsevier, vol. 112(C).
    18. Changjun Liao & Shengquan Wang, 2021. "The Political Economy of the Differential Regional Effects of Monetary Policy: Evidence From China," The Developing Economies, Institute of Developing Economies, vol. 59(4), pages 351-370, December.
    19. Chen, Zhuo & He, Zhiguo & Liu, Chun, 2020. "The financing of local government in China: Stimulus loan wanes and shadow banking waxes," Journal of Financial Economics, Elsevier, vol. 137(1), pages 42-71.
    20. Zhang, Ailian & Pan, Mengmeng & Liu, Bai & Cao, Xianbin, 2023. "Do high-speed rail (HSR) station and airport affect local government debt risk? Evidence from China," Transport Policy, Elsevier, vol. 134(C), pages 41-51.
    21. Juan J. Cortina & Maria Soledad Martinez Peria & Sergio L. Schmukler & Jasmine Xiao, 2023. "The Internationalization of China's Equity Markets," Mo.Fi.R. Working Papers 182, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    22. Yu, Mingzhe & Jia, Junyi & Wang, Siyu, 2022. "Local officials’ promotion incentives and issuance of urban investment bonds," Research in International Business and Finance, Elsevier, vol. 63(C).
    23. Yi Huang & Jianjun Miao & Pengfei Wang, 2016. "Saving China's Stock Market," IHEID Working Papers 09-2016, Economics Section, The Graduate Institute of International Studies.
    24. Wei Xiong, 2018. "The Mandarin Model of Growth," NBER Working Papers 25296, National Bureau of Economic Research, Inc.
    25. Allen, Franklin & Qian, Jun & Qian, Meijun, 2018. "A Review of China’s Institutions," CEPR Discussion Papers 13269, C.E.P.R. Discussion Papers.
    26. Huixin Bi & Yongquan Cao & Wei Dong, 2022. "Credit Guarantee and Fiscal Costs," Research Working Paper RWP 22-09, Federal Reserve Bank of Kansas City.
    27. Chunjing Wang & Jinming Qu, 2020. "Analysis of the Pro-cyclical Behavior of Credit Spread in Chinese Bond Market," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(4), pages 1-8.
    28. Feng, Xu & Lütkebohmert, Eva & Xiao, Yajun, 2022. "Wealth management products, banking competition, and stability: Evidence from China," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    29. Kaiji Chen & Haoyu Gao & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2020. "Monetary Stimulus Amidst the Infrastructure Investment Spree: Evidence from China's Loan-Level Data," NBER Working Papers 27763, National Bureau of Economic Research, Inc.
    30. Ge Gao & Jichang Dong & Xiuting Li, 2022. "Local Government Debt, Real Estate Investment and Corporate Investment: Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    31. Choi, Jaehyuk & Lu, Lei & Park, Heungju & Sohn, Sungbin, 2022. "The financial value of the within-government political network: Evidence from Chinese municipal corporate bonds," Finance Research Letters, Elsevier, vol. 47(PA).
    32. Allen, Franklin & Gu, Xian & Li, C. Wei & Qian, Jun “QJ” & Qian, Yiming, 2023. "Implicit guarantees and the rise of shadow banking: The case of trust products," Journal of Financial Economics, Elsevier, vol. 149(2), pages 115-141.
    33. Vinh Q. T. Dang & Isaac Otchere & Erin P. K. So & Isabel K. M. Yan, 2021. "Not all shadow banking is bad! Evidence from credit intermediation of non-financial Chinese firms," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1437-1462, November.
    34. Zhang, Xiaoqian & Wang, Zhiwei, 2020. "Marketization vs. market chase: Insights from implicit government guarantees," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 435-455.
    35. Jeon, Chunmi & Han, Seung Hun & Kim, Hyeong Joon & Kim, Sangsoo, 2022. "The effect of government 5G policies on telecommunication operators’ firm value: Evidence from China," Telecommunications Policy, Elsevier, vol. 46(2).
    36. Franklin Allen & Xian Gu, 2021. "Shadow banking in China compared to other countries," Manchester School, University of Manchester, vol. 89(5), pages 407-419, September.
    37. Ji Huang & Zongbo Huang & Xiang Shao, 2023. "The Risk of Implicit Guarantees: Evidence from Shadow Banks in China," Review of Finance, European Finance Association, vol. 27(4), pages 1521-1544.
    38. Xing Li & Xiangyu Ge & Cong Chen, 2022. "Several explorations on how to construct an early warning system for local government debt risk in China," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-27, February.
    39. Cheng, Yudan & Jia, Shanghui & Meng, Huan, 2022. "Fiscal policy choices of local governments in China: Land finance or local government debt?," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 294-308.
    40. Mo, Jiawei, 2018. "Land financing and economic growth: Evidence from Chinese counties," China Economic Review, Elsevier, vol. 50(C), pages 218-239.
    41. Zhenfa Li & Fulong Wu & Fangzhu Zhang, 2023. "Adaptable state-controlled market actors: Underwriters and investors in the market of local government bonds in China," Environment and Planning A, , vol. 55(8), pages 2088-2107, November.
    42. Francesco D'Acunto & Michael Weber & Jin Xie & Michael Weber, 2019. "Punish One, Teach A Hundred: The Sobering Effect of Punishment on the Unpunished," CESifo Working Paper Series 7512, CESifo.
    43. Wei, Xin & Liu, Xi & Zhang, Xueyong, 2022. "Shadow banking and the cross-section of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    44. Ji, Mianmian & Lv, Wendai, 2022. "Demonstration zones reform and corporate philanthropy: Evidence from China," Economic Modelling, Elsevier, vol. 115(C).
    45. Xiaoming Li & Zheng Liu & Yuchao Peng & Zhiwei Xu, 2020. "Bank Risk-Taking and Monetary Policy Transmission: Evidence from China," Working Paper Series 2020-27, Federal Reserve Bank of San Francisco.
    46. Jiandong Chen & Jie Yu & Zhiyang Shen & Malin Song & Ziqi Zhou, 2023. "Debt financing and maintenance expenditure: Theory and evidence on government-operated toll roads in China," Post-Print hal-04129361, HAL.
    47. Allen, Franklin & Qian, Yiming & Tu, Guoqian & Yu, Frank, 2018. "Entrusted Loans: A Close Look at China’s Shadow Banking System," CEPR Discussion Papers 12864, C.E.P.R. Discussion Papers.
    48. Kaiji Chen & Jue Ren & Tao Zha, 2018. "The Nexus of Monetary Policy and Shadow Banking in China," American Economic Review, American Economic Association, vol. 108(12), pages 3891-3936, December.
    49. Chang Liu & Wei Xiong, 2018. "China's Real Estate Market," NBER Working Papers 25297, National Bureau of Economic Research, Inc.
    50. Zefeng Tang, 2022. "Local Government Debt, Financial Circle, and Sustainable Economic Development," Sustainability, MDPI, vol. 14(19), pages 1-29, September.
    51. Mengzhu Zhang & Si Qiao & Xiang Yan, 2021. "The secondary circuit of capital and the making of the suburban property boom in postcrisis Chinese cities," Environment and Planning A, , vol. 53(6), pages 1331-1355, September.
    52. Song, Zheng (Michael) & Xiong, Wei, 2018. "Risks in China's financial system," BOFIT Discussion Papers 1/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    53. Ke Mao & Pierre Failler, 2022. "Local Government Debt and Green Total Factor Productivity—Empirical Evidence from Chinese Cities," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
    54. Si, Deng-Kui & Li, Xiao-Lin, 2022. "Shadow banking business and firm risk-taking: Evidence from China," Research in International Business and Finance, Elsevier, vol. 62(C).
    55. Huang, Yi & Pagano, Marco & Panizza, Ugo, 2019. "Local crowding out in China," CFS Working Paper Series 632, Center for Financial Studies (CFS).
    56. Hai Xie & Weikun Zhang & Hanyuan Liang, 2023. "Can Local Government Debt Decrease the Pollution Emission of Enterprises?—Evidence from China’s Industrial Enterprises," Sustainability, MDPI, vol. 15(11), pages 1-20, June.
    57. Zhengge Song & Jingjing Tang & Haijian Zeng & Fangying Pang, 2024. "How Urban-Level Credit Expansion Affects the Quality of Green Innovation: Evidence from China," Sustainability, MDPI, vol. 16(5), pages 1-22, February.
    58. Anderson, Ronald, 2020. "Who Bears Risk in China's Non-financial Enterprise Debt?," CEPR Discussion Papers 15135, C.E.P.R. Discussion Papers.
    59. Gu, Yanwei & Guo, Jing & Liang, Xiao & Zhao, Yajun, 2022. "Does the debt-growth link differ across private and public debt? Evidence from China," Economic Modelling, Elsevier, vol. 114(C).
    60. Dekle, Robert & Tsang, Andrew, 2023. "Monetary policy shocks and resource misallocations in the Periphery: Evidence from Chinese provincial bond yields," Journal of International Money and Finance, Elsevier, vol. 137(C).
    61. Tianchu Feng & Meijuan Liu & Chaozhu Li, 2022. "How Does Vertical Fiscal Imbalance Affect CO 2 Emissions? The Role of Capital Mismatch," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    62. Bo Li & Jacopo Ponticelli, 2020. "Going Bankrupt in China," NBER Working Papers 27501, National Bureau of Economic Research, Inc.
    63. Ma, Guangyuan & Kong, Dongmin & Liu, Shasha, 2023. "Credit stimulus and corporate excess employees," International Review of Financial Analysis, Elsevier, vol. 89(C).
    64. Liu, Tianming & Xiong, Haifang & Li, Yifei & Wang, Zhiqiang, 2023. "The flight to safety during credit recovery: The role of implicit government guarantees," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    65. Jiani Li & Jie Li & Tianhang Zhou, 2023. "State ownership and zombie firms: Evidence from China's 2008 stimulus plan," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 853-876, October.
    66. Chen, Wen & Zhu, Yufeng & He, Zehui & Yang, Yang, 2022. "The effect of local government debt on green innovation: Evidence from Chinese listed companies," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    67. Chen, Yunping & Chen, Huanhuan & Li, Guorong & Jiao, Dongdan & Xu, Xiangyun, 2021. "Time-varying effect of macro-prudential policies on household credit growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 241-254.
    68. Ding, Yi & Xiong, Wei & Zhang, Jinfan, 2022. "Issuance overpricing of China's corporate debt securities," Journal of Financial Economics, Elsevier, vol. 144(1), pages 328-346.
    69. Rongwu Zhang & Wenqiang Fu & Yingxu Kuang, 2022. "Can Digital Economy Promote Energy Conservation and Emission Reduction in Heavily Polluting Enterprises? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    70. Zhang, Qiuyue & Que, Jiangjing & Qin, Xiuting, 2023. "Regional financial technology and shadow banking activities of non-financial firms: Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    71. Qu, Xi & Xu, Zhiwei & Yu, Jinxiang & Zhu, Jun, 2023. "Understanding local government debt in China: A regional competition perspective," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    72. Deng, Kebin & Ge, Wenxia & He, Jing, 2021. "Inside debt and shadow banking," Journal of Corporate Finance, Elsevier, vol. 69(C).
    73. Wang, Jiaxin & Huang, Xiang & Gu, Qiankun & Song, Zilong & Sun, Ruiyi, 2023. "How does fintech affect bank risk? A perspective based on financialized transfer of government implicit debt risk," Economic Modelling, Elsevier, vol. 128(C).
    74. Ren, Xiaoyi & Shao, Huan, 2022. "Non-state shareholder governance and shadow banking business: Evidence from Chinese state-owned manufacturing enterprises," Research in International Business and Finance, Elsevier, vol. 60(C).
    75. Ouyang, Min & Zhang, Shengxing, 2020. "Corruption as Collateral," MPRA Paper 98635, University Library of Munich, Germany.
    76. Ridoy Deb Nath & Mohammad Ashraful Ferdous Chowdhury, 2021. "Shadow banking: a bibliometric and content analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
    77. Wang, Yuyue & Fang, Hongyan & Luo, Ronghua, 2022. "Does state ownership affect rating quality? Evidence from China's corporate bond market," Economic Modelling, Elsevier, vol. 111(C).
    78. Torsten Ehlers & Steven Kong & Feng Zhu, 2018. "Mapping shadow banking in China: structure and dynamics," BIS Working Papers 701, Bank for International Settlements.
    79. Zhang, Man & Brookins, Oscar T. & Huang, Xiaowei, 2022. "The crowding out effect of central versus local government debt: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    80. Lu, Dong & Tang, Huoqing & Zhang, Chengsi, 2023. "China's monetary policy surprises and corporate real investment," China Economic Review, Elsevier, vol. 77(C).
    81. Kaiji Chen & Tao Zha, 2018. "Macroeconomic Effects of China's Financial Policies," FRB Atlanta Working Paper 2018-12, Federal Reserve Bank of Atlanta.
    82. Shuang Jin & Wei Wang & Zilong Zhang, 2023. "The Real Effects of Implicit Government Guarantee: Evidence from Chinese State-Owned Enterprise Defaults," Management Science, INFORMS, vol. 69(6), pages 3650-3674, June.
    83. Walker, Thomas & Zhang, Xueying & Zhang, Aoran & Wang, Yulin, 2021. "Fact or fiction: Implicit government guarantees in China’s corporate bond market," Journal of International Money and Finance, Elsevier, vol. 116(C).
    84. Ge Gao & Xiuting Li & Xiaoting Liu & Jichang Dong, 2021. "Does Air Pollution Impact Fiscal Sustainability? Evidence from Chinese Cities," Energies, MDPI, vol. 14(21), pages 1-16, November.
    85. Xiang Xu & Alice Siqi Han, 2018. "Will China Collapse: A Review, Assessment And Outlook," Economics Working Papers 18104, Hoover Institution, Stanford University.
    86. Wang, Yabin & Wu, Sharon Xiaohui, 2023. "Local guarantees and SOE bond pricing in China," China Economic Review, Elsevier, vol. 78(C).
    87. Gyourko, Joseph & Shen, Yang & Wu, Jing & Zhang, Rongjie, 2022. "Land finance in China: Analysis and review," China Economic Review, Elsevier, vol. 76(C).
    88. Yan Jiang & Yaping Xu & Shengsheng Li, 2022. "How Does Monetary Policy Uncertainty Influence Firms’ Dynamic Adjustment of Capital Structure," SAGE Open, , vol. 12(1), pages 21582440211, January.
    89. Ming Lu & Huiyong Zhong, 2018. "Eurozonization of the Chinese Economy: How Do Intergovernmental Transfers Affect Local Government Debt in China?," Asian Economic Papers, MIT Press, vol. 17(1), pages 1-18, Winter/Sp.
    90. Carpenter, Jennifer N. & Lu, Fangzhou & Whitelaw, Robert F., 2021. "The real value of China’s stock market," Journal of Financial Economics, Elsevier, vol. 139(3), pages 679-696.
    91. Gao, Haoyu & Ru, Hong & Tang, Dragon Yongjun, 2021. "Subnational debt of China: The politics-finance nexus," Journal of Financial Economics, Elsevier, vol. 141(3), pages 881-895.
    92. Chen, Sophia & Ratnovski, Lev & Tsai, Pi-Han, 2021. "Credit and fiscal multipliers in China: Evidence from a political economy based estimation," Journal of International Money and Finance, Elsevier, vol. 119(C).
    93. Li, Bin & Liang, Yilan & Shahab, Yasir & Gull, Ammar Ali & Ashraf, Naeem, 2022. "Parent-subsidiary dispersion, cost of debt and debt default: Evidence from China," Economic Modelling, Elsevier, vol. 107(C).
    94. Luo, Ronghua & Fang, Hongyan & Liu, Jinjin & Zhao, Senyang, 2019. "Maturity mismatch and incentives: Evidence from bank issued wealth management products in China," Journal of Banking & Finance, Elsevier, vol. 107(C), pages 1-1.
    95. Wei Xiong, 2019. "The Mandarin Model of Growth," Working Papers 2019-10, Princeton University. Economics Department..
    96. Anderson, Ronald W., 2021. "Stake-holder firms and the reform of local public finance in China," LSE Research Online Documents on Economics 118892, London School of Economics and Political Science, LSE Library.
    97. Wang, Zhanhao & Zhao, Hong & Li, Lingxiang, 2022. "The positive side of bank wealth management products: Evidence from bank lending rate," Journal of Financial Stability, Elsevier, vol. 58(C).
    98. Sumit Agarwa & Yongheng Deng & Quanlin Gu & Jia He & Wenlan Qian & Yuan Ren, 2022. "Mortgage Debt, Hand-to-Mouth Households, and Monetary Policy Transmission [Policy intervention in debt renegotiation: evidence from the home affordable modification program]," Review of Finance, European Finance Association, vol. 26(3), pages 487-520.
    99. Yi, Xingjian & Liu, Sheng & Wu, Zhouheng, 2022. "What drives credit expansion worldwide?——An empirical investigation with long-term cross-country panel data," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 225-242.
    100. Shugo Yamamoto, 2020. "Global Liquidity,Offshore Bond Issuance and Shadow Banking in China," Discussion Papers 2011, Graduate School of Economics, Kobe University.
    101. Jiang, Jiaoliang & Chen, Yulin, 2021. "How does labor protection influence corporate risk-taking? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    102. Yi Ding & Wei Xiong & Jinfan Zhang, 2021. "Issuance Overpricing of China’s Corporate Debt Securities," Working Papers 2021-50, Princeton University. Economics Department..
    103. Jo, Yonghwan & Kim, Jihee & Santos, Francisco, 2022. "The impact of liquidity risk in the Chinese banking system on the global commodity markets," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 23-50.
    104. Liansheng Zheng & Juncheng Li & Zhihua Zhao, 2022. "High‐Speed Rail Service and the Issuance of Municipal Corporate Bonds," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 230-254, July.
    105. Cai, Yu & Wang, Qing, 2022. "Money funds manage returns," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
    106. Wu, Haijun & Yang, Jidong & Yang, Qijing, 2021. "The pressure of economic growth and the issuance of Urban Investment Bonds: Based on panel data from 2005 to 2011 in China," Journal of Asian Economics, Elsevier, vol. 76(C).
    107. Cheng, Xiaoqiang & Wang, Yabin, 2022. "Shadow banking and the bank lending channel of monetary policy in China," Journal of International Money and Finance, Elsevier, vol. 128(C).
    108. Cao, Yang & Chen, Yinghui & Zhang, Yuhe, 2022. "Political uncertainty, innovation-driven strategy, and corporate R&D," Research in International Business and Finance, Elsevier, vol. 60(C).
    109. Yuan, Hongqi & Zhou, Yiyuan & Zou, Hong, 2022. "Serving multiple ‘masters’: Evidence from the loan decisions of a publicly listed state-owned bank around a massive economic stimulus programme11The authors can be contacted via yuanhq@fudan.edu.cn, y," Journal of Corporate Finance, Elsevier, vol. 72(C).
    110. Cheng, Bo & Christensen, Tom & Ma, Liang & Yu, Junli, 2021. "Does public money drive out private? Evidence from government regulations of industrial overcapacity governance in urban China," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 767-780.
    111. Bian, Jiangze & Da, Zhi & He, Zhiguo & Lou, Dong & Shue, Kelly & Zhou, Hao, 2021. "Margin trading and leverage management," LSE Research Online Documents on Economics 118851, London School of Economics and Political Science, LSE Library.
    112. Bo Li & Jacopo Ponticelli, 2022. "Going Bankrupt in China [The politics of foreclosures]," Review of Finance, European Finance Association, vol. 26(3), pages 449-486.
    113. Yang Feng & Yang Wang, 2021. "The Impact of Deindustrialization on Economic Growth——Evidence from China," International Business Research, Canadian Center of Science and Education, vol. 14(5), pages 1-18, May.
    114. Si, Deng-Kui & Wan, Shen & Li, Xiao-Lin & Kong, Dongmin, 2022. "Economic policy uncertainty and shadow banking: Firm-level evidence from China," Research in International Business and Finance, Elsevier, vol. 63(C).
    115. Jeffery (Jinfan) Chang & Ting Yang & Yanping Shi, 2022. "Finance Leases: In the Shadow of Banks [Entrusted loans: a close look at China’s shadow banking system]," Review of Finance, European Finance Association, vol. 26(3), pages 721-749.
    116. Gao, Feiyang & Tao, Yunqing & Chen, Dong & Cao, Yuyang, 2023. "Stringent financial regulation and corporate R&D investment: Evidence from a quasi-natural experiment in China," Finance Research Letters, Elsevier, vol. 55(PB).
    117. Bellavite Pellegrini, Carlo & Cincinelli, Peter & Meoli, Michele & Urga, Giovanni, 2022. "The contribution of (shadow) banks and real estate to systemic risk in China," Journal of Financial Stability, Elsevier, vol. 60(C).
    118. Zhifeng Wang & Xuening Ge & Yunxia He & Shuting Li, 2023. "Has the Reform of Land Reserve Financing Policy Reduced the Local Governments’ Implicit Debt?," Land, MDPI, vol. 12(11), pages 1-21, November.
    119. Mo Chen & Xuhua Hu & Jijian Zhang & Zhe Xu & Guang Yang & Zenan Sun, 2023. "Are Firms More Willing to Seek Green Technology Innovation in the Context of Economic Policy Uncertainty? —Evidence from China," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
    120. Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2023. "Time-varying impacts of monetary policy uncertainty on China's housing market," Economic Modelling, Elsevier, vol. 118(C).
    121. David W. H. Wong & Harry F. Lee & Simon X. B. Zhao & Andy C. L. Tai, 2022. "Post-2008 Fiscal Stimulus Packages and the Driving Forces for China’s Urbanization," Land, MDPI, vol. 11(12), pages 1-16, December.
    122. Wanying Lu & Jianfu Shen, 2022. "Urban Leverage and Housing Price in China," JRFM, MDPI, vol. 15(2), pages 1-12, February.
    123. Acharya, Viral & Qian, Jun & Su, Yang & Yang, Zhishu, 2020. "In the Shadow of Banks: Wealth Management Products and Issuing Banks’ Risks in China," CEPR Discussion Papers 14957, C.E.P.R. Discussion Papers.
    124. Wu, Fulong, 2022. "Land financialisation and the financing of urban development in China," Land Use Policy, Elsevier, vol. 112(C).
    125. David Large & Ahmad Teymouri, 2023. "A Review of Funding and Financing Models for Infrastructure Corridor Megaprojects, and Implications for the Canadian Northern Corridor," SPP Research Papers, The School of Public Policy, University of Calgary, vol. 16(13), April.
    126. Han, Xun & Aibai, Abuduwali & Xie, Xinyan, 2023. "Fiscal decentralization and shadow banking activities of non-financial enterprises," Finance Research Letters, Elsevier, vol. 54(C).
    127. Mark J. Flannery & Claire Yurong Hong & Baolian Wang, 2023. "The Effect of Government Reference Bonds on Corporate Borrowing Costs: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 69(7), pages 4051-4077, July.
    128. Zixing Wang & Meirong Zhang, 2023. "The Distributional Effects Associated with Land Finance in China: A Perspective Based on the Urban–Rural Income Gap," Land, MDPI, vol. 12(9), pages 1-15, September.
    129. Yuanlin Wu & Cunzhi Tian & Guannan Wang, 2023. "Local Government Debt and Corporate Investment Behavior in China: Real versus Financial Investment," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    130. Qian, Ningyu, 2018. "Anti-corruption effects on the credit risk of local financing vehicles and the pricing of Chengtou bonds: Evidence from a quasi-natural experiment in China," Finance Research Letters, Elsevier, vol. 26(C), pages 162-168.
    131. Feng, Xu & Lu, Lei & Xiao, Yajun, 2020. "Shadow banks, leverage risks, and asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    132. Phuong Mai Le, Vo & Matthews, Kent & Meenagh, David & Minford, Patrick & Xiao, Zhiguo, 2022. "Regulatory arbitrage, shadow banking and monetary policy in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).

  2. Liu, Chun, 2010. "Marginal likelihood calculation for gelfand-dey and Chib Method," MPRA Paper 34928, University Library of Munich, Germany.

    Cited by:

    1. Shen‐Ming Lee & Truong‐Nhat Le & Phuoc‐Loc Tran & Chin‐Shang Li, 2022. "Investigating the association of a sensitive attribute with a random variable using the Christofides generalised randomised response design and Bayesian methods," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1471-1502, November.

  3. Chun Liu & John M Maheu, 2008. "Forecasting Realized Volatility: A Bayesian Model Averaging Approach," Working Papers tecipa-313, University of Toronto, Department of Economics.

    Cited by:

    1. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    2. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02505861, HAL.
    3. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "Are realized volatility models good candidates for alternative Value at Risk prediction strategies?," MPRA Paper 30364, University Library of Munich, Germany.
    4. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
    5. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020. "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, vol. 90(C), pages 143-158.
    6. Yafeng Shi & Tingting Ying & Yanlong Shi & Chunrong Ai, 2020. "A comparison of conditional predictive ability of implied volatility and realized measures in forecasting volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1025-1034, November.
    7. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Post-Print halshs-02505861, HAL.
    8. Antonello Loddo & Shawn Ni & Dongchu Sun, 2011. "Selection of Multivariate Stochastic Volatility Models via Bayesian Stochastic Search," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 342-355, July.
    9. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "The role of high frequency intra-daily data, daily range and implied volatility in multi-period Value-at-Risk forecasting," MPRA Paper 35252, University Library of Munich, Germany.
    10. Florian Ielpo & Benoît Sévi, 2014. "Forecasting the density of oil futures," Working Papers 2014-601, Department of Research, Ipag Business School.
    11. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2014. "Realized volatility models and alternative Value-at-Risk prediction strategies," Economic Modelling, Elsevier, vol. 40(C), pages 101-116.
    12. Sévi, Benoît, 2014. "Forecasting the volatility of crude oil futures using intraday data," European Journal of Operational Research, Elsevier, vol. 235(3), pages 643-659.
    13. Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S. & Grose, Simone D., 2012. "Probabilistic forecasts of volatility and its risk premia," Journal of Econometrics, Elsevier, vol. 171(2), pages 217-236.
    14. Tian Xie, 2012. "Least Squares Model Averaging By Prediction Criterion," Working Paper 1299, Economics Department, Queen's University.
    15. Tian, Fengping & Yang, Ke & Chen, Langnan, 2017. "Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity," International Journal of Forecasting, Elsevier, vol. 33(1), pages 132-152.
    16. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.
    17. 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.
    18. Donghua Wang & Yang Xin & Xiaohui Chang & Xingze Su, 2021. "Realized volatility forecasting and volatility spillovers: Evidence from Chinese non‐ferrous metals futures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2713-2731, April.
    19. Ana-Maria Fuertes & Elena Kalotychou & Natasa Todorovic, 2015. "Daily volume, intraday and overnight returns for volatility prediction: profitability or accuracy?," Review of Quantitative Finance and Accounting, Springer, vol. 45(2), pages 251-278, August.
    20. Yang, Ke & Tian, Fengping & Chen, Langnan & Li, Steven, 2017. "Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 276-291.
    21. Ji‐Eun Choi & Dong Wan Shin, 2018. "Forecasts for leverage heterogeneous autoregressive models with jumps and other covariates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(6), pages 691-704, September.
    22. Ma, Feng & Wahab, M.I.M. & Zhang, Yaojie, 2019. "Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 132-146.
    23. Chorro, Christophe & Ielpo, Florian & Sévi, Benoît, 2020. "The contribution of intraday jumps to forecasting the density of returns," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    24. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01442618, HAL.
    25. Wang, Chengyang & Nishiyama, Yoshihiko, 2015. "Volatility forecast of stock indices by model averaging using high-frequency data," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 324-337.
    26. Lyócsa, Štefan & Molnár, Peter, 2018. "Exploiting dependence: Day-ahead volatility forecasting for crude oil and natural gas exchange-traded funds," Energy, Elsevier, vol. 155(C), pages 462-473.
    27. Degiannakis, Stavros, 2018. "Multiple Days Ahead Realized Volatility Forecasting: Single, Combined and Average Forecasts," MPRA Paper 96272, University Library of Munich, Germany.
    28. Nima Nonejad, 2013. "A Mixture Innovation Heterogeneous Autoregressive Model for Structural Breaks and Long Memory," CREATES Research Papers 2013-24, Department of Economics and Business Economics, Aarhus University.
    29. Chew Lian Chua & Sandy Suardi & Sarantis Tsiaplias, 2011. "Predicting Short-Term Interest Rates: Does Bayesian Model Averaging Provide Forecast Improvement?," Melbourne Institute Working Paper Series wp2011n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    30. Yoontae Jeon & Thomas H. McCurdy, 2017. "Time-Varying Window Length for Correlation Forecasts," Econometrics, MDPI, vol. 5(4), pages 1-29, December.
    31. Elena Andreou & Constantinos Kourouyiannis & Andros Kourtellos, 2012. "Volatility Forecast Combinations using Asymmetric Loss Functions," University of Cyprus Working Papers in Economics 07-2012, University of Cyprus Department of Economics.
    32. Jiawen Luo & Qun Zhang, 2024. "Air pollution, weather factors, and realized volatility forecasts of agricultural commodity futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 151-217, February.
    33. Min Liu & Wei‐Chong Choo & Chi‐Chuan Lee & Chien‐Chiang Lee, 2023. "Trading volume and realized volatility forecasting: Evidence from the China stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 76-100, January.
    34. Stavroula P. Fameliti & Vasiliki D. Skintzi, 2020. "Predictive ability and economic gains from volatility forecast combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 200-219, March.
    35. Vasyl Golosnoy & Yarema Okhrin, 2015. "Using information quality for volatility model combinations," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 1055-1073, June.
    36. Qiu, Yue & Wang, Zongrun & Xie, Tian & Zhang, Xinyu, 2021. "Forecasting Bitcoin realized volatility by exploiting measurement error under model uncertainty," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 179-201.
    37. Ana-Maria Fuertes & Jose Olmo, 2016. "On Setting Day-Ahead Equity Trading Risk Limits: VaR Prediction at Market Close or Open?," JRFM, MDPI, vol. 9(3), pages 1-20, September.
    38. Dimitrios Louzis & Spyros Xanthopoulos-Sisinis & Apostolos Refenes, 2011. "Stock index realized volatility forecasting in the presence of heterogeneous leverage effects and long range dependence in the volatility of realized volatility," Post-Print hal-00709559, HAL.
    39. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
    40. Chua, Chew Lian & Suardi, Sandy & Tsiaplias, Sarantis, 2013. "Predicting short-term interest rates using Bayesian model averaging: Evidence from weekly and high frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 442-455.
    41. Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020. "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202016, University of Kansas, Department of Economics, revised Sep 2020.
    42. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.

  4. Chun Liu & John M Maheu, 2007. "Are there Structural Breaks in Realized Volatility?," Working Papers tecipa-304, University of Toronto, Department of Economics.

    Cited by:

    1. Bauwens, Luc & Rombouts, Jeroen V.K., 2012. "On marginal likelihood computation in change-point models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3415-3429.
    2. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
    3. Nonejad, Nima, 2014. "Particle Gibbs with Ancestor Sampling Methods for Unobserved Component Time Series Models with Heavy Tails, Serial Dependence and Structural Breaks," MPRA Paper 55664, University Library of Munich, Germany.
    4. Ke Yang & Langnan Chen & Fengping Tian, 2015. "Realized Volatility Forecast of Stock Index Under Structural Breaks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(1), pages 57-82, January.
    5. Becker, Janis & Leschinski, Christian & Sibbertsen, Philipp, 2019. "Robust Multivariate Local Whittle Estimation and Spurious Fractional Cointegration," Hannover Economic Papers (HEP) dp-660, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Liu, Chun, 2010. "Marginal likelihood calculation for gelfand-dey and Chib Method," MPRA Paper 34928, University Library of Munich, Germany.
    7. Zargar, Faisal Nazir & Kumar, Dilip, 2020. "Modeling unbiased extreme value volatility estimator in presence of heterogeneity and jumps: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 25-41.
    8. Maheu, John M & Song, Yong, 2017. "An Efficient Bayesian Approach to Multiple Structural Change in Multivariate Time Series," MPRA Paper 79211, University Library of Munich, Germany.
    9. Liu, Jing & Ma, Feng & Zhang, Yaojie, 2019. "Forecasting the Chinese stock volatility across global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 466-477.
    10. He, Zhongfang & Maheu, John M., 2010. "Real time detection of structural breaks in GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2628-2640, November.
    11. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," EconomiX Working Papers 2009-33, University of Paris Nanterre, EconomiX.
    12. Julien Chevallier & Benoît Sévi, 2009. "On the Realized Volatility of the ECX CO2 Emissions 2008 Futures Contract: Distribution, Dynamics and Forecasting," Working Papers 2009.113, Fondazione Eni Enrico Mattei.
    13. Maheu, John & Song, Yong, 2012. "A new structural break model with application to Canadian inflation forecasting," MPRA Paper 36870, University Library of Munich, Germany.
    14. John M Maheu & Thomas H McCurdy, 2008. "Do high-frequency measures of volatility improve forecasts of return distributions?," Working Papers tecipa-324, University of Toronto, Department of Economics.
    15. Tian, Fengping & Yang, Ke & Chen, Langnan, 2017. "Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity," International Journal of Forecasting, Elsevier, vol. 33(1), pages 132-152.
    16. Goldman Elena & Nam Jouahn & Tsurumi Hiroki & Wang Jun, 2013. "Regimes and long memory in realized volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 521-549, December.
    17. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    18. Casson, Catherine & Fry, J. M. & Casson, Mark, 2011. "Evolution or revolution? a study of price and wage volatility in England, 1200-1900," MPRA Paper 31518, University Library of Munich, Germany.
    19. Donghua Wang & Yang Xin & Xiaohui Chang & Xingze Su, 2021. "Realized volatility forecasting and volatility spillovers: Evidence from Chinese non‐ferrous metals futures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2713-2731, April.
    20. Nonejad, Nima, 2017. "Forecasting aggregate stock market volatility using financial and macroeconomic predictors: Which models forecast best, when and why?," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 131-154.
    21. Liu, Jing & Wei, Yu & Ma, Feng & Wahab, M.I.M., 2017. "Forecasting the realized range-based volatility using dynamic model averaging approach," Economic Modelling, Elsevier, vol. 61(C), pages 12-26.
    22. Chen, Cathy W.S. & Watanabe, Toshiaki & Lin, Edward M.H., 2023. "Bayesian estimation of realized GARCH-type models with application to financial tail risk management," Econometrics and Statistics, Elsevier, vol. 28(C), pages 30-46.
    23. Nima Nonejad, 2013. "Long Memory and Structural Breaks in Realized Volatility: An Irreversible Markov Switching Approach," CREATES Research Papers 2013-26, Department of Economics and Business Economics, Aarhus University.
    24. Davide De Gaetano, 2018. "Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets," Mathematics, MDPI, vol. 6(3), pages 1-19, March.
    25. Bergsli, Lykke Øverland & Lind, Andrea Falk & Molnár, Peter & Polasik, Michał, 2022. "Forecasting volatility of Bitcoin," Research in International Business and Finance, Elsevier, vol. 59(C).
    26. He, Zhongfang, 2009. "Forecasting output growth by the yield curve: the role of structural breaks," MPRA Paper 28208, University Library of Munich, Germany.
    27. Stefano Grassi & Nima Nonejad & Paolo Santucci de Magistris, 2014. "Forecasting with the Standardized Self-Perturbed Kalman Filter," CREATES Research Papers 2014-12, Department of Economics and Business Economics, Aarhus University.
    28. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    29. Aalborg, Halvor Aarhus & Molnár, Peter & de Vries, Jon Erik, 2019. "What can explain the price, volatility and trading volume of Bitcoin?," Finance Research Letters, Elsevier, vol. 29(C), pages 255-265.
    30. 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.
    31. Song, Junmo & Baek, Changryong, 2019. "Detecting structural breaks in realized volatility," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 58-75.
    32. Arnaud Dufays & Zhuo Li & Jeroen V.K. Rombouts & Yong Song, 2021. "Sparse change‐point VAR models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 703-727, September.
    33. Lin, Edward M.H. & Chen, Cathy W.S. & Gerlach, Richard, 2012. "Forecasting volatility with asymmetric smooth transition dynamic range models," International Journal of Forecasting, Elsevier, vol. 28(2), pages 384-399.
    34. Arnaud Dufays & Jeroen V. K. Rombouts, 2019. "Sparse Change-point HAR Models for Realized Variance," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 857-880, September.
    35. Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
    36. Nima Nonejad, 2013. "A Mixture Innovation Heterogeneous Autoregressive Model for Structural Breaks and Long Memory," CREATES Research Papers 2013-24, Department of Economics and Business Economics, Aarhus University.
    37. Li, Wenlan & Cheng, Yuxiang & Fang, Qiang, 2020. "Forecast on silver futures linked with structural breaks and day-of-the-week effect," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    38. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).
    39. Yoontae Jeon & Thomas H. McCurdy, 2017. "Time-Varying Window Length for Correlation Forecasts," Econometrics, MDPI, vol. 5(4), pages 1-29, December.
    40. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    41. Nonejad Nima, 2015. "Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 561-584, December.
    42. Jung, R.C. & Maderitsch, R., 2014. "Structural breaks in volatility spillovers between international financial markets: Contagion or mere interdependence?," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 331-342.
    43. Markopoulou, Chrysi E. & Skintzi, Vasiliki D. & Refenes, Apostolos-Paul N., 2016. "Realized hedge ratio: Predictability and hedging performance," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 121-133.
    44. Julien Chevallier, 2011. "Detecting Instability in the Volatility of Carbon Prices," Post-Print hal-00991957, HAL.
    45. Panagiotis Delis & Stavros Degiannakis & George Filis, 2022. "What matters when developing oil price volatility forecasting frameworks?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 361-382, March.
    46. Ma, Feng & Li, Yu & Liu, Li & Zhang, Yaojie, 2018. "Are low-frequency data really uninformative? A forecasting combination perspective," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 92-108.
    47. AitSahlia, Farid & Yoon, Joon-Hui, 2016. "Information stages in efficient markets," Journal of Banking & Finance, Elsevier, vol. 69(C), pages 84-94.
    48. Ying Chen & Bo Li, 2011. "Forecasting Yield Curves in an Adaptive Framework," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(4), pages 237-259, December.
    49. Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
    50. Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2009. "Options introduction and volatility in the EU ETS," Working Papers hal-04140857, HAL.
    51. Chun Liu & John M Maheu, 2008. "Forecasting Realized Volatility: A Bayesian Model Averaging Approach," Working Papers tecipa-313, University of Toronto, Department of Economics.
    52. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers hal-04140871, HAL.
    53. Martin Magris, 2019. "A Vine-copula extension for the HAR model," Papers 1907.08522, arXiv.org.
    54. 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.
    55. Xiangjin B. Chen & Jiti Gao & Degui Li & Param Silvapulle, 2018. "Nonparametric Estimation and Forecasting for Time-Varying Coefficient Realized Volatility Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 88-100, January.
    56. Chen, Wei-Peng & Choudhry, Taufiq & Wu, Chih-Chiang, 2013. "The extreme value in crude oil and US dollar markets," Journal of International Money and Finance, Elsevier, vol. 36(C), pages 191-210.
    57. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.

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  1. Liu, Chun & Liu, Qing, 2012. "Marginal likelihood calculation for the Gelfand–Dey and Chib methods," Economics Letters, Elsevier, vol. 115(2), pages 200-203.
    See citations under working paper version above.
  2. Liu, Chun & Maheu, John M., 2012. "Intraday dynamics of volatility and duration: Evidence from Chinese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 20(3), pages 329-348.

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    1. Doojin Ryu, 2013. "Spread and depth adjustment process: an analysis of high-quality microstructure data," Applied Economics Letters, Taylor & Francis Journals, vol. 20(16), pages 1506-1510, November.
    2. Vladim'ir Hol'y, 2022. "An Intraday GARCH Model for Discrete Price Changes and Irregularly Spaced Observations," Papers 2211.12376, arXiv.org, revised Sep 2023.
    3. Min Liu & Chien‐Chiang Lee & Wei‐Chong Choo, 2021. "An empirical study on the role of trading volume and data frequency in volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 792-816, August.
    4. Chung, Kee H. & Park, Seongkyu “Gilbert” & Ryu, Doojin, 2016. "Trade duration, informed trading, and option moneyness," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 395-411.
    5. Maria Čuljak & Josip Arnerić & Ante Žigman, 2022. "Is Jump Robust Two Times Scaled Estimator Superior among Realized Volatility Competitors?," Mathematics, MDPI, vol. 10(12), pages 1-11, June.
    6. Thomas Dimpfl & Stefania Odelli, 2020. "Bitcoin Price Risk—A Durations Perspective," JRFM, MDPI, vol. 13(7), pages 1-18, July.
    7. Doojin Ryu, 2015. "Information content of inter-transaction time: A structural approach," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(4), pages 697-711, August.
    8. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
    9. Karaa, Rabaa & Slim, Skander & Hmaied, Dorra Mezzez, 2018. "Trading intensity and the volume-volatility relationship on the Tunis Stock Exchange," Research in International Business and Finance, Elsevier, vol. 44(C), pages 88-99.
    10. Roman Huptas, 2016. "The UHF-GARCH-Type Model in the Analysis of Intraday Volatility and Price Durations – the Bayesian Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 1-20, March.
    11. Doojin Ryu, 2017. "Comprehensive market microstructure model: considering the inventory holding costs," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(2), pages 183-201, March.
    12. Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.

  3. Chun Liu & John M. Maheu, 2009. "Forecasting realized volatility: a Bayesian model-averaging approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 709-733.
    See citations under working paper version above.
  4. Chun Liu & John M. Maheu, 2008. "Are There Structural Breaks in Realized Volatility?," Journal of Financial Econometrics, Oxford University Press, vol. 6(3), pages 326-360, Summer.
    See citations under working paper version above.
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