Cross-cryptocurrency return predictability
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DOI: 10.1016/j.jedc.2024.104863
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- Kewei Hou, 2007. "Industry Information Diffusion and the Lead-lag Effect in Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1113-1138.
- Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
- Harrison Hong & Terence Lim & Jeremy C. Stein, 2000.
"Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies,"
Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
- Harrison Hong & Terence Lim & Jeremy C. Stein, 1998. "Bad News Travels Slowly: Size, Analyst Coverage and the Profitability of Momentum Strategies," NBER Working Papers 6553, National Bureau of Economic Research, Inc.
- John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993.
"Trading Volume and Serial Correlation in Stock Returns,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
- John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1992. "Trading Volume and Serial Correlation in Stock Returns," NBER Working Papers 4193, National Bureau of Economic Research, Inc.
- Wang, Jiang & Grossman, Sanford & Campbell, John, 1993. "Trading Volume and Serial Correlation in Stock Returns," Scholarly Articles 3128710, Harvard University Department of Economics.
- Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
- Jia, Yuecheng & Wu, Yangru & Yan, Shu & Liu, Yuzheng, 2023. "A seesaw effect in the cryptocurrency market: Understanding the return cross predictability of cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 74(C).
- X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
- Sifat, Imtiaz Mohammad & Mohamad, Azhar & Mohamed Shariff, Mohammad Syazwan Bin, 2019. "Lead-Lag relationship between Bitcoin and Ethereum: Evidence from hourly and daily data," Research in International Business and Finance, Elsevier, vol. 50(C), pages 306-321.
- Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
- Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models,"
Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Pollet, Joshua M. & Wilson, Mungo, 2010. "Average correlation and stock market returns," Journal of Financial Economics, Elsevier, vol. 96(3), pages 364-380, June.
- Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," Journal of Financial Economics, Elsevier, vol. 135(2), pages 293-319.
- Lin William Cong & Zhiguo He & Jiasun Li & Wei Jiang, 2021.
"Decentralized Mining in Centralized Pools [Concentrating on the fall of the labor share],"
The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1191-1235.
- Lin William Cong & Zhiguo He & Jiasun Li, 2019. "Decentralized Mining in Centralized Pools," NBER Working Papers 25592, National Bureau of Economic Research, Inc.
- Kozak, Serhiy & Nagel, Stefan & Santosh, Shrihari, 2020.
"Shrinking the cross-section,"
Journal of Financial Economics, Elsevier, vol. 135(2), pages 271-292.
- Nagel, Stefan & Santosh, Shrihari & Kozak, Serhiy, 2017. "Shrinking the Cross Section," CEPR Discussion Papers 12463, C.E.P.R. Discussion Papers.
- Serhiy Kozak & Stefan Nagel & Shrihari Santosh, 2017. "Shrinking the Cross Section," NBER Working Papers 24070, National Bureau of Economic Research, Inc.
- Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993.
"Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
- Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
- Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
- Srinivasan Palamalai & Bipasha Maity, 2019. "Return And Volatility Spillover Effects In Leading Cryptocurrencies," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-20, September.
- Omane-Adjepong, Maurice & Alagidede, Imhotep Paul, 2019. "Multiresolution analysis and spillovers of major cryptocurrency markets," Research in International Business and Finance, Elsevier, vol. 49(C), pages 191-206.
- Lior Menzly & Oguzhan Ozbas, 2010. "Market Segmentation and Cross‐predictability of Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1555-1580, August.
- Ciaian, Pavel & Rajcaniova, Miroslava & Kancs, d'Artis, 2018.
"Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 173-195.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2017. "Virtual Relationships: Short- and Long-run Evidence from BitCoin and Altcoin Markets," Papers 1706.07216, arXiv.org.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2017. "Virtual Relationships: Short- and Long-run Evidence from BitCoin and Altcoin Markets," EERI Research Paper Series EERI RP 2017/02, Economics and Econometrics Research Institute (EERI), Brussels.
- Ciaian, Pavel & Kancs, d'Artis & Rajcaniova, Miroslava, 2017. "Virtual Relationships: Short- and Long-run Evidence from BitCoin and Altcoin Markets," JRC Working Papers in Economics and Finance 2017-05, Joint Research Centre, European Commission.
- Thomas Eisensee & David Strömberg, 2007. "News Droughts, News Floods, and U. S. Disaster Relief," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 693-728.
- Trimborn, Simon & Härdle, Wolfgang Karl, 2018.
"CRIX an Index for cryptocurrencies,"
Journal of Empirical Finance, Elsevier, vol. 49(C), pages 107-122.
- Simon Trimborn & Wolfgang Karl Hardle, 2020. "CRIX an index for cryptocurrencies," Papers 2009.09782, arXiv.org.
- Trimborn, Simon & Härdle, Wolfgang Karl, 2020. "CRIX an Index for cryptocurrencies," IRTG 1792 Discussion Papers 2020-009, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Lee, Charles M.C. & Sun, Stephen Teng & Wang, Rongfei & Zhang, Ran, 2019.
"Technological links and predictable returns,"
Journal of Financial Economics, Elsevier, vol. 132(3), pages 76-96.
- Lee, Charles M. C. Lee & Sun, Stephen Teng & Wang, Rongfei & Zhang, Ran, 2017. "Technological Links and Predictable Returns," Research Papers repec:ecl:stabus:3605, Stanford University, Graduate School of Business.
- Joachim Freyberger & Andreas Neuhierl & Michael Weber & Andrew KarolyiEditor, 2020.
"Dissecting Characteristics Nonparametrically,"
Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
- Joachim Freyberger & Andreas Neuhierl & Michael Weber & Andrew KarolyiEditor, 2020. "Dissecting Characteristics Nonparametrically," Review of Finance, European Finance Association, vol. 33(5), pages 2326-2377.
- Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2017. "Dissecting Characteristics Nonparametrically," NBER Working Papers 23227, National Bureau of Economic Research, Inc.
- Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2018. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 7187, CESifo.
- Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2017. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 6391, CESifo.
- Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
- Lo, Andrew W & MacKinlay, A Craig, 1990.
"When Are Contrarian Profits Due to Stock Market Overreaction?,"
The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
- Lo, Andrew W. (Andrew Wen-Chuan) & MacKinlay, Archie Craig, 1955-., 1989. "When are contrarian profits due to stock market overreaction?," Working papers 3008-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Andrew W. Lo & A. Craig MacKinlay, 1989. "When are Contrarian Profits Due to Stock Market Overreaction?," NBER Working Papers 2977, National Bureau of Economic Research, Inc.
- Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Gabauer, David, 2019. "Cryptocurrency market contagion: Market uncertainty, market complexity, and dynamic portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 37-51.
- Brauneis, Alexander & Mestel, Roland, 2018. "Price discovery of cryptocurrencies: Bitcoin and beyond," Economics Letters, Elsevier, vol. 165(C), pages 58-61.
- Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020.
"Empirical Asset Pricing via Machine Learning,"
The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
- Shihao Gu & Bryan Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," NBER Working Papers 25398, National Bureau of Economic Research, Inc.
- Shihao Gu & Bryan T. Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," Swiss Finance Institute Research Paper Series 18-71, Swiss Finance Institute.
- Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa & Wang, Yizhi, 2022. "The cryptocurrency uncertainty index," Finance Research Letters, Elsevier, vol. 45(C).
- Campbell R. Harvey, 2017. "Presidential Address: The Scientific Outlook in Financial Economics," Journal of Finance, American Finance Association, vol. 72(4), pages 1399-1440, August.
- Merton, Robert C, 1987.
"A Simple Model of Capital Market Equilibrium with Incomplete Information,"
Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
- Merton, Robert C., 1987. "A simple model of capital market equilibrium with incomplete information," Working papers 1869-87., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
- Steven L. Heston & Robert A. Korajczyk & Ronnie Sadka, 2010.
"Intraday Patterns in the Cross‐section of Stock Returns,"
Journal of Finance, American Finance Association, vol. 65(4), pages 1369-1407, August.
- Steven L. Heston & Robert A. Korajczyk & Ronnie Sadka, 2010. "Intraday Patterns in the Cross-section of Stock Returns," Papers 1005.3535, arXiv.org.
- Ali, Usman & Hirshleifer, David, 2020.
"Shared analyst coverage: Unifying momentum spillover effects,"
Journal of Financial Economics, Elsevier, vol. 136(3), pages 649-675.
- Usman Ali & David Hirshleifer, 2018. "Shared Analyst Coverage: Unifying Momentum Spillover Effects," NBER Working Papers 25201, National Bureau of Economic Research, Inc.
- Harrison Hong & Jeremy C. Stein, 1999.
"A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets,"
Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
- Harrison Hong & Jeremy C. Stein, 1997. "A Unified Theory of Underreaction, Momentum Trading and Overreaction in Asset Markets," NBER Working Papers 6324, National Bureau of Economic Research, Inc.
- Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Härdle, 2021.
"Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies,"
The European Journal of Finance, Taylor & Francis Journals, vol. 27(1-2), pages 8-30, January.
- Petukhina, Alla A. & Reule, Raphael C. G. & Härdle, Wolfgang Karl, 2019. "Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies," IRTG 1792 Discussion Papers 2019-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Hardle, 2020. "Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies," Papers 2009.04200, arXiv.org.
- Lin William Cong & Zhiguo He, 2019.
"Blockchain Disruption and Smart Contracts,"
The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
- Lin William Cong & Zhiguo He, 2018. "Blockchain Disruption and Smart Contracts," NBER Working Papers 24399, National Bureau of Economic Research, Inc.
- Tarun Chordia & Bhaskaran Swaminathan, 2000. "Trading Volume and Cross‐Autocorrelations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(2), pages 913-935, April.
- Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
- Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
- Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," LSE Research Online Documents on Economics 100409, London School of Economics and Political Science, LSE Library.
- Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
- Shams, Amin, 2020. "The Structure of Cryptocurrency Returns," Working Paper Series 2020-11, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Badrinath, S G & Kale, Jayant R & Noe, Thomas H, 1995. "Of Shepherds, Sheep, and the Cross-autocorrelations in Equity Returns," The Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 401-430.
- David E. Rapach & Jack K. Strauss & Guofu Zhou, 2013. "International Stock Return Predictability: What Is the Role of the United States?," Journal of Finance, American Finance Association, vol. 68(4), pages 1633-1662, August.
- Kraus, Alan & Stoll, Hans R, 1972. "Price Impacts of Block Trading on the New York Stock Exchange," Journal of Finance, American Finance Association, vol. 27(3), pages 569-588, June.
- Fry, John & Cheah, Eng-Tuck, 2016. "Negative bubbles and shocks in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 343-352.
- Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019. "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 257-272.
- Wang, Gang-Jin & Xie, Chi & Wen, Danyan & Zhao, Longfeng, 2019. "When Bitcoin meets economic policy uncertainty (EPU): Measuring risk spillover effect from EPU to Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).
- Huang, Xiaoran & Lin, Juan & Wang, Peng, 2022. "Are institutional investors marching into the crypto market?," Economics Letters, Elsevier, vol. 220(C).
- Yukun Liu & Aleh Tsyvinski, 2021. "Risks and Returns of Cryptocurrency," The Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2689-2727.
- Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2022. "When bitcoin lost its position: Cryptocurrency uncertainty and the dynamic spillover among cryptocurrencies before and during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Darrell Duffie, 2010. "Presidential Address: Asset Price Dynamics with Slow‐Moving Capital," Journal of Finance, American Finance Association, vol. 65(4), pages 1237-1267, August.
- Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," The Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
- Sowmya Subramaniam & Madhumita Chakraborty, 2020. "Investor Attention and Cryptocurrency Returns: Evidence from Quantile Causality Approach," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(1), pages 103-115, January.
- Albert S. Kyle & Wei Xiong, 2001. "Contagion as a Wealth Effect," Journal of Finance, American Finance Association, vol. 56(4), pages 1401-1440, August.
- Moratis, George, 2021. "Quantifying the spillover effect in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 38(C).
- Symitsi, Efthymia & Chalvatzis, Konstantinos J., 2018. "Return, volatility and shock spillovers of Bitcoin with energy and technology companies," Economics Letters, Elsevier, vol. 170(C), pages 127-130.
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More about this item
Keywords
Cryptocurrency; Return predictability; Information spillover; Adaptive LASSO;All these keywords.
JEL classification:
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G40 - Financial Economics - - Behavioral Finance - - - General
Statistics
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