Hai Lin
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
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Articles
- Guo, Xu & Lin, Hai & Wu, Chunchi & Zhou, Guofu, 2022.
"Predictive information in corporate bond yields,"
Journal of Financial Markets, Elsevier, vol. 59(PB).
Cited by:
- Isakin, Maksim & Pu, Xiaoling, 2023. "Dispersion in news sentiment and corporate bond returns," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Chen, Ding & Guo, Biao & Zhou, Guofu, 2023. "Firm fundamentals and the cross-section of implied volatility shapes," Journal of Financial Markets, Elsevier, vol. 63(C).
- Rocío Maehara & Luis Benites & Alvaro Talavera & Alejandro Aybar-Flores & Miguel Muñoz, 2024. "Predicting Financial Inclusion in Peru: Application of Machine Learning Algorithms," JRFM, MDPI, vol. 17(1), pages 1-25, January.
- Chen, Rong & Geng, Heng (Griffin) & Lin, Hai & Nguyen, Phuong Thi Ly, 2021.
"Liquidity, informed trading, and a market surveillance system: Evidence from the Vietnamese stock market,"
Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
Cited by:
- Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
- Lin, Hai & Lo, Ingrid & Qiao, Rui, 2021.
"Macroeconomic news announcements and market efficiency: Evidence from the U.S. Treasury market,"
Journal of Banking & Finance, Elsevier, vol. 133(C).
Cited by:
- Subhamitra Patra & Gourishankar S. Hiremath, 2022. "An Entropy Approach to Measure the Dynamic Stock Market Efficiency," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 337-377, June.
- Hai Lin & Kasing Man & Junbo Wang & Chunchi Wu, 2020.
"Price discovery and persistent arbitrage violations in credit markets,"
Financial Management, Financial Management Association International, vol. 49(1), pages 207-233, March.
Cited by:
- Hai Lin & Binh Hoang Nguyen & Junbo Wang & Cheng Zhang, 2023. "Credit default swaps and firm risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1668-1692, November.
- Xinyuan Tao & Chunchi Wu, 2021. "Rating labels and style investing: Evidence from Moody's rating recalibration," Financial Management, Financial Management Association International, vol. 50(4), pages 1047-1084, December.
- Xu, Ke & Chen, Yu-Lun & Yang, J. Jimmy, 2023. "Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Hai Lin & Xinyuan Tao & Junbo Wang & Chunchi Wu, 2020.
"Credit Spreads, Business Conditions, and Expected Corporate Bond Returns,"
JRFM, MDPI, vol. 13(2), pages 1-34, January.
Cited by:
- Xing (Alex) Zhou, 2020. "Corporate Debt," JRFM, MDPI, vol. 13(9), pages 1-2, September.
- Alex Holcomb & Paul Mason, 2021. "The Effect of Industry Restructuring on Peer Firms," JRFM, MDPI, vol. 14(5), pages 1-25, May.
- Biao Guo & Hai Lin, 2020.
"Volatility and jump risk in option returns,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1767-1792, November.
Cited by:
- Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
- Pervaiz Alam & Xiaoling Pu & Barry Hettler & Hai Lin, 2020.
"The pricing of accruals quality in credit default swap spreads,"
Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 1943-1977, September.
Cited by:
- Wulung Li, 2021. "The role of accounting quality in corporate liquidity management," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 2631-2670, June.
- Kuruppuarachchi, Duminda & Lin, Hai & Premachandra, I.M., 2019.
"Testing commodity futures market efficiency under time-varying risk premiums and heteroscedastic prices,"
Economic Modelling, Elsevier, vol. 77(C), pages 92-112.
Cited by:
- Okoroafor, Ugochi Chibuzor & Leirvik, Thomas, 2022. "Time varying market efficiency in the Brent and WTI crude market," Finance Research Letters, Elsevier, vol. 45(C).
- Memon, Bilal Ahmed & Yao, Hongxing & Naveed, Hafiz Muhammad, 2022. "Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets," Resources Policy, Elsevier, vol. 77(C).
- Han Jun S. & Kordzakhia Nino & Shevchenko Pavel V. & Trück Stefan, 2022. "On correlated measurement errors in the Schwartz–Smith two-factor model," Dependence Modeling, De Gruyter, vol. 10(1), pages 108-122, January.
- Zhang, Xu & Yang, Xian & He, Qizhi, 2022. "Multi-scale systemic risk and spillover networks of commodity markets in the bullish and bearish regimes," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
- Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Upward/downward multifractality and efficiency in metals futures markets: The impacts of financial and oil crises," Resources Policy, Elsevier, vol. 76(C).
- Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Mefteh-Wali, Salma & Owusu, Patrick, 2023. "Measuring price efficiency in petroleum markets: New insights using various long-range dependence techniques," Resources Policy, Elsevier, vol. 82(C).
- Hai Lin & Chunchi Wu & Guofu Zhou, 2018.
"Forecasting Corporate Bond Returns with a Large Set of Predictors: An Iterated Combination Approach,"
Management Science, INFORMS, vol. 64(9), pages 4218-4238, September.
Cited by:
- 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).
- Qingxiang Han & Mengxi He & Yaojie Zhang & Muhammad Umar, 2023. "Default return spread: A powerful predictor of crude oil price returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1786-1804, November.
- Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014.
"Bond Return Predictability: Economic Value and Links to the Macroeconomy,"
Working Papers
75, Brandeis University, Department of Economics and International Business School.
- Timmermann, Allan & Pettenuzzo, Davide & Gargano, Antonio, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
- Antonio Gargano & Davide Pettenuzzo & Allan Timmermann, 2019. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Management Science, INFORMS, vol. 65(2), pages 508-540, February.
- Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75R, Brandeis University, Department of Economics and International Business School, revised Jul 2016.
- Lin, Hai & Tao, Xinyuan & Wu, Chunchi, 2022. "Forecasting earnings with combination of analyst forecasts," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 133-159.
- Gaoxiu Qiao & Yangli Cao & Feng Ma & Weiping Li, 2023. "Liquidity and realized covariance forecasting: a hybrid method with model uncertainty," Empirical Economics, Springer, vol. 64(1), pages 437-463, January.
- Yu, Xing & Li, Yanyan & Gong, Xue & Zhang, Nan, 2022. "Evaluating the performance of futures hedging using factors-driven realized volatility," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Mengxi He & Xianfeng Hao & Yaojie Zhang & Fanyi Meng, 2021. "Forecasting stock return volatility using a robust regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1463-1478, December.
- Stephanie Heck, 2022. "Corporate bond yields and returns: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(2), pages 179-201, June.
- Chen, Bin & Maung, Kenwin, 2023. "Time-varying forecast combination for high-dimensional data," Journal of Econometrics, Elsevier, vol. 237(2).
- Dashan Huang & Fuwei Jiang & Kunpeng Li & Guoshi Tong & Guofu Zhou, 2022.
"Scaled PCA: A New Approach to Dimension Reduction,"
Management Science, INFORMS, vol. 68(3), pages 1678-1695, March.
- Dashan Huang & Fuwei Jiang & Kunpeng Li & Guoshi Tong & Guofu Zhou, 2022. "Scaled PCA: A New Approach to Dimension Reduction," CEMA Working Papers 678, China Economics and Management Academy, Central University of Finance and Economics.
- Li, Xiaodan & Gong, Xue & Ge, Futing & Huang, Jingjing, 2024. "Forecasting stock volatility using pseudo-out-of-sample information," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 123-135.
- Zhang, Yaojie & Ma, Feng & Wei, Yu, 2019. "Out-of-sample prediction of the oil futures market volatility: A comparison of new and traditional combination approaches," Energy Economics, Elsevier, vol. 81(C), pages 1109-1120.
- Thomas Conlon & John Cotter & Emmanuel Eyiah-Donkor, 2022.
"The illusion of oil return predictability: The choice of data matters!,"
Post-Print
hal-03519860, HAL.
- Conlon, Thomas & Cotter, John & Eyiah-Donkor, Emmanuel, 2022. "The illusion of oil return predictability: The choice of data matters!," Journal of Banking & Finance, Elsevier, vol. 134(C).
- Jie Cao & Amit Goyal & Xiao Xiao & Xintong Zhan, 2019.
"Implied Volatility Changes and Corporate Bond Returns,"
Swiss Finance Institute Research Paper Series
19-75, Swiss Finance Institute.
- Jie Cao & Amit Goyal & Xiao Xiao & Xintong Zhan, 2023. "Implied Volatility Changes and Corporate Bond Returns," Management Science, INFORMS, vol. 69(3), pages 1375-1397, March.
- Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
- He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021. "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, vol. 97(C).
- Guo, Xu & Lin, Hai & Wu, Chunchi & Zhou, Guofu, 2022. "Predictive information in corporate bond yields," Journal of Financial Markets, Elsevier, vol. 59(PB).
- Dai, Zhifeng & Zhu, Huan, 2020. "Stock return predictability from a mixed model perspective," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
- Zhang, Yaojie & Wei, Yu & Ma, Feng & Yi, Yongsheng, 2019. "Economic constraints and stock return predictability: A new approach," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 1-9.
- Lasse Bork & Stig V. Møller & Thomas Q. Pedersen, 2016.
"A New Index of Housing Sentiment,"
CREATES Research Papers
2016-32, Department of Economics and Business Economics, Aarhus University.
- Lasse Bork & Stig V. Møller & Thomas Q. Pedersen, 2020. "A New Index of Housing Sentiment," Management Science, INFORMS, vol. 66(4), pages 1563-1583, April.
- Xue Gong & Weiguo Zhang & Yuan Zhao & Xin Ye, 2023. "Forecasting stock volatility with a large set of predictors: A new forecast combination method," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1622-1647, November.
- 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).
- Yaojie Zhang & Mengxi He & Zhikai Zhang, 2024. "Forecasting stock returns with industry volatility concentration," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2705-2730, November.
- Zhang, Yaojie & Wang, Yudong, 2023. "Forecasting crude oil futures market returns: A principal component analysis combination approach," International Journal of Forecasting, Elsevier, vol. 39(2), pages 659-673.
- Cheng, Tingting & Jiang, Shan & Zhao, Albert Bo & Jia, Zhimin, 2023. "Complete subset averaging methods in corporate bond return prediction," Finance Research Letters, Elsevier, vol. 54(C).
- Lv, Wendai & Qi, Jipeng, 2022. "Stock market return predictability: A combination forecast perspective," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Antonios K. Alexandridis & Ekaterini Panopoulou & Ioannis Souropanis, 2024. "Forecasting exchange rates: An iterated combination constrained predictor approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 983-1017, July.
- Verner, Robert & Tkáč, Michal, 2023. "On the predictability of bonds," Finance Research Letters, Elsevier, vol. 57(C).
- Dai, Zhifeng & Dong, Xiaodi & Kang, Jie & Hong, Lianying, 2020. "Forecasting stock market returns: New technical indicators and two-step economic constraint method," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
- Hai Lin & Xinyuan Tao & Junbo Wang & Chunchi Wu, 2020. "Credit Spreads, Business Conditions, and Expected Corporate Bond Returns," JRFM, MDPI, vol. 13(2), pages 1-34, January.
- Gong, Xue & Ye, Xin & Zhang, Weiguo & Zhang, Yue, 2023. "Predicting energy futures high-frequency volatility using technical indicators: The role of interaction," Energy Economics, Elsevier, vol. 119(C).
- Ma, Yao & Yang, Baochen & Su, Yunpeng, 2020. "Technical trading index, return predictability and idiosyncratic volatility," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 879-900.
- Dai, Zhifeng & Zhu, Huan & Kang, Jie, 2021. "New technical indicators and stock returns predictability," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 127-142.
- Li Liu & Yudong Wang, 2021. "Forecasting aggregate market volatility: The role of good and bad uncertainties," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 40-61, January.
- Qiu, Yue & Zheng, Yuchen, 2023. "Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations," Economic Modelling, Elsevier, vol. 125(C).
- Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil market volatility: A comprehensive look at uncertainty variables," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1022-1041.
- Li Liu & Zhiyuan Pan & Yudong Wang, 2022. "Shrinking return forecasts," The Financial Review, Eastern Finance Association, vol. 57(3), pages 641-661, August.
- Bin Chen & Kenwin Maung, 2020. "Time-varying Forecast Combination for High-Dimensional Data," Papers 2010.10435, arXiv.org.
- Zhang, Li & Wang, Lu & Wang, Xunxiao & Zhang, Yaojie & Pan, Zhigang, 2022. "How macro-variables drive crude oil volatility? Perspective from the STL-based iterated combination method," Resources Policy, Elsevier, vol. 77(C).
- Biao Guo & Hai Lin, 2020. "Volatility and jump risk in option returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1767-1792, November.
- Hai Lin & Pengfei Liu & Cheng Zhang, 2023. "The trend premium around the world: Evidence from the stock market," International Review of Finance, International Review of Finance Ltd., vol. 23(2), pages 317-358, June.
- Zhifeng Dai & Huiting Zhou, 2020. "Prediction of Stock Returns: Sum-of-the-Parts Method and Economic Constraint Method," Sustainability, MDPI, vol. 12(2), pages 1-13, January.
- Biao Guo & Qian Han & Hai Lin, 2018.
"Are there gains from using information over the surface of implied volatilities?,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 645-672, June.
Cited by:
- Chen, Ying & Han, Qian & Niu, Linlin, 2018.
"Forecasting the Term Structure of Option Implied Volatility: The Power of an Adaptive Method,"
IRTG 1792 Discussion Papers
2018-046, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the term structure of option implied volatility: The power of an adaptive method," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 157-177.
- Sudarshan Kumar & Sobhesh Kumar Agarwalla & Jayanth R. Varma & Vineet Virmani, 2023. "Harvesting the volatility smile in a large emerging market: A Dynamic Nelson–Siegel approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1615-1644, November.
- F. Leung & M. Law & S. K. Djeng, 2024. "Deterministic modelling of implied volatility in cryptocurrency options with underlying multiple resolution momentum indicator and non-linear machine learning regression algorithm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-25, December.
- Chen, Ying & Han, Qian & Niu, Linlin, 2018.
"Forecasting the Term Structure of Option Implied Volatility: The Power of an Adaptive Method,"
IRTG 1792 Discussion Papers
2018-046, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Hai Lin & You Wang, 2018.
"Are tightened trading rules always bad? Evidence from the Chinese index futures market,"
Quantitative Finance, Taylor & Francis Journals, vol. 18(9), pages 1453-1470, September.
Cited by:
- Zhang, Xiaotao & Zhao, Yuepeng & Wang, Ziqiao, 2024. "Do loosened trading rules restore the stock index futures price discovery ability in China?," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 389-397.
- Wu, Lei & Zeng, Hongchao, 2019. "The impact of liquidity constraints on the cash-futures basis dynamics: Evidence from the Chinese market," Economic Modelling, Elsevier, vol. 83(C), pages 96-110.
- Jimmy E. Hilliard & Haoran Zhang, 2020. "The impact of soft intervention on the Chinese financial futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(3), pages 374-391, March.
- Xingguo Luo & Doojin Ryu & Libin Tao & Chuxin Ye, 2024. "Price monotonicity violations during stock market crashes: Evidence from the SSE 50 ETF options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 533-554, March.
- Fang, Ming & Chang, Chiu-Lan & Zhang, Qi, 2023. "Impacts of trading restrictions on price volatilities and speculative activities: Evidence from CSI 300 futures," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 184-204.
- Hai Lin & Daniel Quill & Henk Berkman, 2016.
"Information diffusion and the predictability of New Zealand stock market returns,"
Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 56(3), pages 749-785, September.
Cited by:
- Lin, Hai & Lo, Ingrid & Qiao, Rui, 2021. "Macroeconomic news announcements and market efficiency: Evidence from the U.S. Treasury market," Journal of Banking & Finance, Elsevier, vol. 133(C).
- Srivastava, Sasha & Lin, Hai & Premachandra, Inguruwatte M. & Roberts, Helen, 2016.
"Global risk spillover and the predictability of sovereign CDS spread: International evidence,"
International Review of Economics & Finance, Elsevier, vol. 41(C), pages 371-390.
Cited by:
- Mikhail Stolbov, 2017. "Determinants of sovereign credit risk: the case of Russia," Post-Communist Economies, Taylor & Francis Journals, vol. 29(1), pages 51-70, January.
- Saker Sabkha & Christian de Peretti & Dorra Mezzez Hmaied, 2019. "International risk spillover in the sovereign credit markets: An empirical analysis," Post-Print hal-01652526, HAL.
- Amine Lahiani & Shawkat Hammoudeh & Rangan Gupta, 2014.
"Linkages between Financial Sector CDS Spreads and Macroeconomic Influence in a Nonlinear Setting,"
Working Papers
201456, University of Pretoria, Department of Economics.
- Lahiani, Amine & Hammoudeh, Shawkat & Gupta, Rangan, 2016. "Linkages between financial sector CDS spreads and macroeconomic influence in a nonlinear setting," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 443-456.
- Amine Lahiani & Shawkat Hammoudeh & Rangan Gupta, 2016. "Linkages between financial sector CDS spreads and macroeconomic influence in a nonlinear setting," Post-Print hal-03531142, HAL.
- Gemici, Eray & Gök, Remzi & Bouri, Elie, 2023. "Predictability of risk appetite in Turkey: Local versus global factors," Emerging Markets Review, Elsevier, vol. 55(C).
- Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Spillover effects in oil-related CDS markets during and after the sub-prime crisis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
- Laura Ballester & Ana Mónica Escrivá & Ana González-Urteaga, 2021. "The Nexus between Sovereign CDS and Stock Market Volatility: New Evidence," Mathematics, MDPI, vol. 9(11), pages 1-23, May.
- Muhammad Saifuddin Khan, 2018. "The Role of Liquidity in Financial Intermediation," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2018, January-A.
- Ozcan Ceylan, 2023. "Analysis of Dynamic Connectedness among Sovereign CDS Premia," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 33-47, June.
- Huthaifa Sameeh Alqaralleh, 2024. "From volatility to stability: understanding the role of macroeconomic factors in sovereign CDS spreads," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 665-707, September.
- Sabkha, Saker & de Peretti, Christian & Hmaied, Dorra, 2019. "Nonlinearities in the oil effects on the sovereign credit risk: A self-exciting threshold autoregression approach," Research in International Business and Finance, Elsevier, vol. 50(C), pages 106-133.
- González-Fernández, Marcos & González-Velasco, Carmen, 2020. "A sentiment index to measure sovereign risk using Google data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 406-418.
- Saker Sabkha & Christian Peretti & Dorra Hmaied, 2019.
"The Credit Default Swap market contagion during recent crises: international evidence,"
Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 1-46, July.
- Saker Sabkha & Christian de Peretti & Dorra Hmaied, 2018. "The Credit Default Swap market contagion during recent crises: International evidence," Post-Print hal-01572510, HAL.
- Lotfi, Somayyeh & Milidonis, Andreas & Zenios, Stavros A., 2024. "Mispricing of debt expansion in the eurozone sovereign credit market," Journal of Financial Stability, Elsevier, vol. 70(C).
- Kim, Hyun-Seok & Min, Hong-Ghi & McDonald, Judith A., 2016. "Returns, correlations, and volatilities in equity markets: Evidence from six OECD countries during the US financial crisis," Economic Modelling, Elsevier, vol. 59(C), pages 9-22.
- Mensi, Walid & Shahzad, Syed Jawad Hussain & Hammoudeh, Shawkat & Hkiri, Besma & Hamed Al Yahyaee, Khamis, 2019. "Long-run relationships between US financial credit markets and risk factors: Evidence from the quantile ARDL approach," Finance Research Letters, Elsevier, vol. 29(C), pages 101-110.
- Su, Xianfang, 2020. "Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
- Tian, Shaonan & Yu, Yan, 2017. "Financial ratios and bankruptcy predictions: An international evidence," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 510-526.
- Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
- Zaremba, Adam, 2019. "Cross-sectional seasonalities in international government bond returns," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 80-94.
- Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
- Pan, Wei-Fong & Wang, Xinjie & Xiao, Yaqing & Xu, Weike & Zhang, Jinfan, 2024. "The effect of economic and political uncertainty on sovereign CDS spreads," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 143-155.
- Lin, Hai & Wang, Junbo & Wu, Chunchi, 2014.
"Predictions of corporate bond excess returns,"
Journal of Financial Markets, Elsevier, vol. 21(C), pages 123-152.
Cited by:
- Hammami, Yacine & Bahri, Maha, 2016. "On the determinants of expected corporate bond returns in Tunisia," Research in International Business and Finance, Elsevier, vol. 38(C), pages 224-235.
- Mishra, Abinash & Srivastava, Pranjal & Chakrabarti, Anindya S., 2020. "'Too central to fail' firms in bi-layered financial networks: Evidence of linkages from the US corporate bond and stock markets," IIMA Working Papers WP 2020-06-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
- Scholz, Michael & Sperlich, Stefan & Nielsen, Jens Perch, 2016. "Nonparametric long term prediction of stock returns with generated bond yields," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 82-96.
- Louis RAFFESTIN, 2016. "Do bond credit ratings lead to excess comovement," LEO Working Papers / DR LEO 2481, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Campbell, T. Colin & Chichernea, Doina C. & Petkevich, Alex, 2016. "Dissecting the bond profitability premium," Journal of Financial Markets, Elsevier, vol. 27(C), pages 102-131.
- Biao Guo & Qian Han & Hai Lin, 2018. "Are there gains from using information over the surface of implied volatilities?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 645-672, June.
- Raffestin, Louis, 2017.
"Do bond credit ratings lead to excess comovement?,"
Journal of Banking & Finance, Elsevier, vol. 85(C), pages 41-55.
- Louis Raffestin, 2017. "Do bond credit ratings lead to excess comovement?," Post-Print hal-01649992, HAL.
- Guo, Xu & Lin, Hai & Wu, Chunchi & Zhou, Guofu, 2022. "Predictive information in corporate bond yields," Journal of Financial Markets, Elsevier, vol. 59(PB).
- Cheng, Tingting & Jiang, Shan & Zhao, Albert Bo & Jia, Zhimin, 2023. "Complete subset averaging methods in corporate bond return prediction," Finance Research Letters, Elsevier, vol. 54(C).
- Hai Lin & Chunchi Wu & Guofu Zhou, 2018. "Forecasting Corporate Bond Returns with a Large Set of Predictors: An Iterated Combination Approach," Management Science, INFORMS, vol. 64(9), pages 4218-4238, September.
- Hai Lin & Xinyuan Tao & Junbo Wang & Chunchi Wu, 2020. "Credit Spreads, Business Conditions, and Expected Corporate Bond Returns," JRFM, MDPI, vol. 13(2), pages 1-34, January.
- Biao Guo & Hai Lin, 2020. "Volatility and jump risk in option returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1767-1792, November.
- Hong, Yongmiao & Lin, Hai & Wu, Chunchi, 2012.
"Are corporate bond market returns predictable?,"
Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2216-2232.
Cited by:
- Montgomery, William & Raza, Ahmad & Ülkü, Numan, 2019. "Tests of technical trading rules and the 52-week high strategy in the corporate bond market," Global Finance Journal, Elsevier, vol. 40(C), pages 85-103.
- Zheyao Pan, 2018. "A state‐price volatility index for the U.S. government bond market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 573-597, November.
- Cao, N. & Galvani, V. & Gubellini, S., 2017. "Firm-specific stock and bond predictability: New evidence from Canada," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 174-192.
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