Linearity extensions of the market model: a case of the top 10 cryptocurrency prices during the pre-COVID-19 and COVID-19 periods
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DOI: 10.1186/s40854-021-00247-z
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- Iqbal, Najaf & Fareed, Zeeshan & Wan, Guangcai & Shahzad, Farrukh, 2021. "Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market," International Review of Financial Analysis, Elsevier, vol. 73(C).
- Jagannathan, Ravi & Wang, Zhenyu, 1996.
"The Conditional CAPM and the Cross-Section of Expected Returns,"
Journal of Finance, American Finance Association, vol. 51(1), pages 3-53, March.
- Ravi Jagannathan & Zhenyu Wang, 1996. "The conditional CAPM and the cross-section of expected returns," Staff Report 208, Federal Reserve Bank of Minneapolis.
- Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016.
"The economics of BitCoin price formation,"
Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," EERI Research Paper Series EERI RP 2014/08, Economics and Econometrics Research Institute (EERI), Brussels.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," Papers 1405.4498, arXiv.org.
- Dennery, Charles, 2020.
"Monopsony with nominal rigidities: An inverted Phillips Curve,"
Economics Letters, Elsevier, vol. 191(C).
- Dennery, Charles, 2019. "Monopsony with nominal rigidities: An inverted Phillips Curve," MPRA Paper 99636, University Library of Munich, Germany.
- Imran Yousaf & Shoaib Ali, 2020. "Discovering interlinkages between major cryptocurrencies using high-frequency data: new evidence from COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
- Yechen Zhu & David Dickinson & Jianjun Li, 2017. "Erratum to: Analysis on the influence factors of Bitcoin’s price based on VEC model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-1, December.
- Panagiotidis, Theodore & Stengos, Thanasis & Vravosinos, Orestis, 2018.
"On the determinants of bitcoin returns: A LASSO approach,"
Finance Research Letters, Elsevier, vol. 27(C), pages 235-240.
- Theodore Panagiotidis & Thanasis Stengos & Orestis Vravosinos, 2018. "On the determinants of bitcoin returns: a LASSO approach," Working Paper series 18-14, Rimini Centre for Economic Analysis.
- Yukun Liu & Aleh Tsyvinski, 2018.
"Risks and Returns of Cryptocurrency,"
NBER Working Papers
24877, National Bureau of Economic Research, Inc.
- Yukun Liu & Aleh Tsyvinski, 2019. "Risks and Returns of Cryptocurrency," 2019 Meeting Papers 160, Society for Economic Dynamics.
- Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," Journal of Financial Economics, Elsevier, vol. 135(2), pages 293-319.
- Bariviera, Aurelio F. & Basgall, María José & Hasperué, Waldo & Naiouf, Marcelo, 2017.
"Some stylized facts of the Bitcoin market,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 82-90.
- Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
- Al-Awadhi, Abdullah M. & Alsaifi, Khaled & Al-Awadhi, Ahmad & Alhammadi, Salah, 2020. "Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
- Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Durbin, James & Koopman, Siem Jan, 2012.
"Time Series Analysis by State Space Methods,"
OUP Catalogue,
Oxford University Press,
edition 2, number 9780199641178.
- Durbin, James & Koopman, Siem Jan, 2001. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, number 9780198523543.
- Tom Doan, "undated". "SEASONALDLM: RATS procedure to create the matrices for the seasonal component of a DLM," Statistical Software Components RTS00251, Boston College Department of Economics.
- David Yermack, 2013. "Is Bitcoin a Real Currency? An economic appraisal," NBER Working Papers 19747, National Bureau of Economic Research, Inc.
- Umar, Zaghum & Gubareva, Mariya, 2020. "A time–frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
- James, Nick & Menzies, Max & Chan, Jennifer, 2021.
"Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
- Nick James & Max Menzies & Jennifer Chan, 2019. "Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19," Papers 1912.06193, arXiv.org, revised Nov 2020.
- Conlon, Thomas & McGee, Richard, 2020. "Safe haven or risky hazard? Bitcoin during the Covid-19 bear market," Finance Research Letters, Elsevier, vol. 35(C).
- Mnif, Emna & Jarboui, Anis & Mouakhar, Khaireddine, 2020. "How the cryptocurrency market has performed during COVID 19? A multifractal analysis," Finance Research Letters, Elsevier, vol. 36(C).
- Chowdhury, Reaz & Rahman, M. Arifur & Rahman, M. Sohel & Mahdy, M.R.C., 2020. "An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
- Daniele Bianchi & Massimo Guidolin & Manuela Pedio, 2020. "Dissecting Time-Varying Risk Exposures in Cryptocurrency Markets," BAFFI CAREFIN Working Papers 20143, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- Lahmiri, Salim & Bekiros, Stelios & Salvi, Antonio, 2018. "Long-range memory, distributional variation and randomness of bitcoin volatility," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 43-48.
- D'aniel Kondor & M'arton P'osfai & Istv'an Csabai & G'abor Vattay, 2013. "Do the rich get richer? An empirical analysis of the BitCoin transaction network," Papers 1308.3892, arXiv.org, revised Mar 2014.
- Zaremba, Adam & Kizys, Renatas & Aharon, David Y. & Demir, Ender, 2020. "Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe," Finance Research Letters, Elsevier, vol. 35(C).
- Rodrigo Hakim das Neves, 2020. "Bitcoin pricing: impact of attractiveness variables," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
- Kim, Thomas, 2017. "On the transaction cost of Bitcoin," Finance Research Letters, Elsevier, vol. 23(C), pages 300-305.
- Muhammad Ali Nasir & Toan Luu Duc Huynh & Sang Phu Nguyen & Duy Duong, 2019. "Forecasting cryptocurrency returns and volume using search engines," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-13, December.
- Akhtaruzzaman, Md & Boubaker, Sabri & Sensoy, Ahmet, 2021.
"Financial contagion during COVID–19 crisis,"
Finance Research Letters, Elsevier, vol. 38(C).
- Md Akhtaruzzaman & Sabri Boubaker & Ahmet Sensoy, 2021. "Financial contagion during COVID–19 crisis," Post-Print hal-04455600, HAL.
- Rognone, Lavinia & Hyde, Stuart & Zhang, S. Sarah, 2020. "News sentiment in the cryptocurrency market: An empirical comparison with Forex," International Review of Financial Analysis, Elsevier, vol. 69(C).
- Yechen Zhu & David Dickinson & Jianjun Li, 2017. "Analysis on the influence factors of Bitcoin’s price based on VEC model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-13, December.
- Corbet, Shaen & Larkin, Charles & Lucey, Brian, 2020. "The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies," Finance Research Letters, Elsevier, vol. 35(C).
- Barr Rosenberg, 1973. "The Analysis of a Cross Section of Time Series by Stochastically Convergent Parameter Regression," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 399-428, National Bureau of Economic Research, Inc.
- Catania, Leopoldo & Grassi, Stefano & Ravazzolo, Francesco, 2019. "Forecasting cryptocurrencies under model and parameter instability," International Journal of Forecasting, Elsevier, vol. 35(2), pages 485-501.
- 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.
- C. Alexander & M. Dakos, 2020. "A critical investigation of cryptocurrency data and analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 173-188, February.
- Alla Petukhina & Simon Trimborn & Wolfgang Karl Härdle & Hermann Elendner, 2021.
"Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies,"
Quantitative Finance, Taylor & Francis Journals, vol. 21(11), pages 1825-1853, November.
- Alla Petukhina & Simon Trimborn & Wolfgang Karl Hardle & Hermann Elendner, 2020. "Investing with Cryptocurrencies -- evaluating their potential for portfolio allocation strategies," Papers 2009.04461, arXiv.org, revised Sep 2020.
- Serdar Neslihanoglu & Vasilios Sogiakas & John H. McColl & Duncan Lee, 2017. "Nonlinearities in the CAPM: Evidence from Developed and Emerging Markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(8), pages 867-897, December.
- Conlon, Thomas & Corbet, Shaen & McGee, Richard J., 2020. "Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 54(C).
- William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
- Dwita Mariana, Christy & Ekaputra, Irwan Adi & Husodo, Zaäfri Ananto, 2021. "Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic?," Finance Research Letters, Elsevier, vol. 38(C).
- Yuanyuan Zhang & Taufiq Choudhry, 2017. "Forecasting the Daily Time‐Varying Beta of European Banks During the Crisis Period: Comparison Between GARCH Models and the Kalman Filter," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(8), pages 956-973, December.
- Sascha Mergner & Jan Bulla, 2008.
"Time-varying beta risk of Pan-European industry portfolios: A comparison of alternative modeling techniques,"
The European Journal of Finance, Taylor & Francis Journals, vol. 14(8), pages 771-802.
- Sascha Mergner & Jan Bulla, 2005. "Time-varying Beta Risk of Pan-European Industry Portfolios: A Comparison of Alternative Modeling Techniques," Finance 0510029, University Library of Munich, Germany.
- Sharif, Arshian & Aloui, Chaker & Yarovaya, Larisa, 2020. "COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
- Huynh, Toan Luu Duc & Hille, Erik & Nasir, Muhammad Ali, 2020. "Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
- Qing He & Junyi Liu & Sizhu Wang & Jishuang Yu, 2020. "The impact of COVID-19 on stock markets," Economic and Political Studies, Taylor & Francis Journals, vol. 8(3), pages 275-288, July.
- Sofia Anyfantaki & Stelios Arvanitis & Nikolas Topaloglou, 2018. "Diversification, integration and cryptocurrency market," Working Papers 244, Bank of Greece.
- Mahboubeh Faghih Mohammadi Jalali & Hanif Heidari, 2020. "Predicting changes in Bitcoin price using grey system theory," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-12, December.
- Dániel Kondor & Márton Pósfai & István Csabai & Gábor Vattay, 2014. "Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-10, February.
- Taufiq Choudhry & Hao Wu, 2009. "Forecasting the weekly time-varying beta of UK firms: GARCH models vs. Kalman filter method," The European Journal of Finance, Taylor & Francis Journals, vol. 15(4), pages 437-444.
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Cited by:
- Foroutan, Parisa & Lahmiri, Salim, 2022. "The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
- Bartłomiej Lisicki, 2023. "Sektorowe zróżnicowanie efektu interwału akcji spółek z GPW w dobie pandemii COVID-19," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 174-194.
- Yu Song & Bo Chen & Xin-Yi Wang, 2023. "Cryptocurrency technology revolution: are Bitcoin prices and terrorist attacks related?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-20, December.
- Francisco Javier García-Corral & José Antonio Cordero-García & Jaime de Pablo-Valenciano & Juan Uribe-Toril, 2022. "A bibliometric review of cryptocurrencies: how have they grown?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-31, December.
- Ngo Thai Hung, 2022. "The COVID-19 effects on cryptocurrency markets: robust evidence from time-frequency analysis," Economics Bulletin, AccessEcon, vol. 42(1), pages 109-123.
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More about this item
Keywords
CAPM; COVID-19; Crypto Currency Index 30; Generalized additive model; Kalman filter;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- G01 - Financial Economics - - General - - - Financial Crises
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
Statistics
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