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Herding behavior and contagion in the cryptocurrency market
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Cited by:
- Bennett, Donyetta & Mekelburg, Erik & Williams, T.H., 2023. "BeFi meets DeFi: A behavioral finance approach to decentralized finance asset pricing," Research in International Business and Finance, Elsevier, vol. 65(C).
- Wang, Jying-Nan & Lee, Yen-Hsien & Liu, Hung-Chun & Lee, Ming-Chih, 2022. "The determinants of positive feedback trading behaviors in Bitcoin markets," Finance Research Letters, Elsevier, vol. 45(C).
- Jing, Ruixue & Rocha, Luis E.C., 2023.
"A network-based strategy of price correlations for optimal cryptocurrency portfolios,"
Finance Research Letters, Elsevier, vol. 58(PC).
- Ruixue Jing & Luis Enrique Correa Rocha, 2023. "A network-based strategy of price correlations for optimal cryptocurrency portfolios," Papers 2304.02362, arXiv.org.
- Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Vidal-Tomás, David, 2021. "The entry and exit dynamics of the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 58(C).
- Bouri, Elie & Vo, Xuan Vinh & Saeed, Tareq, 2021. "Return equicorrelation in the cryptocurrency market: Analysis and determinants," Finance Research Letters, Elsevier, vol. 38(C).
- Youssef, Mouna & Waked, Sami Sobhi, 2022. "Herding behavior in the cryptocurrency market during COVID-19 pandemic: The role of media coverage," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
- Jinxin Cui & Aktham Maghyereh, 2022. "Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
- Vidal-Tomás, David, 2021. "Transitions in the cryptocurrency market during the COVID-19 pandemic: A network analysis," Finance Research Letters, Elsevier, vol. 43(C).
- Chen, Cathy Yi-Hsuan & Després, Roméo & Guo, Li & Renault, Thomas, 2019. "What makes cryptocurrencies special? Investor sentiment and return predictability during the bubble," IRTG 1792 Discussion Papers 2019-016, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
- Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
- Briola, Antonio & Vidal-Tomás, David & Wang, Yuanrong & Aste, Tomaso, 2023. "Anatomy of a Stablecoin’s failure: The Terra-Luna case," Finance Research Letters, Elsevier, vol. 51(C).
- Mohamad, Azhar & Stavroyiannis, Stavros, 2022. "Do birds of a feather flock together? Evidence from time-varying herding behaviour of bitcoin and foreign exchange majors during Covid-19," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
- Aggarwal, Divya & Chandrasekaran, Shabana & Annamalai, Balamurugan, 2020. "A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
- Kim, Alisa & Trimborn, Simon & Härdle, Wolfgang Karl, 2021.
"VCRIX — A volatility index for crypto-currencies,"
International Review of Financial Analysis, Elsevier, vol. 78(C).
- Kim, Alisa & Trimborn, Simon & Härdle, Wolfgang Karl, 2019. "VCRIX - a volatility index for crypto-currencies," IRTG 1792 Discussion Papers 2019-027, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Hasan, Mudassar & Naeem, Muhammad Abubakr & Arif, Muhammad & Yarovaya, Larisa, 2021. "Higher moment connectedness in cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
- Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
- Natália Costa & César Silva & Paulo Ferreira, 2019. "Long-Range Behaviour and Correlation in DFA and DCCA Analysis of Cryptocurrencies," IJFS, MDPI, vol. 7(3), pages 1-12, September.
- Batmunkh, Munkh-Ulzii & Choijil, Enkhbayar & Vieito, João Paulo & Espinosa-Méndez, Christian & Wong, Wing-Keung, 2020. "Does herding behavior exist in the Mongolian stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
- Wang, Jying-Nan & Liu, Hung-Chun & Hsu, Yuan-Teng, 2020. "Time-of-day periodicities of trading volume and volatility in Bitcoin exchange: Does the stock market matter?," Finance Research Letters, Elsevier, vol. 34(C).
- Nagy, Balint Zsolt & Benedek, Botond, 2021. "Higher co-moments and adjusted Sharpe ratios for cryptocurrencies," Finance Research Letters, Elsevier, vol. 39(C).
- Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Xuan Vinh Vo, 2022. "Liquidity connectedness in cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
- Antonio Briola & David Vidal-Tom'as & Yuanrong Wang & Tomaso Aste, 2022. "Anatomy of a Stablecoin's failure: the Terra-Luna case," Papers 2207.13914, arXiv.org, revised Sep 2022.
- Sifat, Imtiaz, 2021. "On cryptocurrencies as an independent asset class: Long-horizon and COVID-19 pandemic era decoupling from global sentiments," Finance Research Letters, Elsevier, vol. 43(C).
- Bouteska, Ahmed & Mefteh-Wali, Salma & Dang, Trung, 2022. "Predictive power of investor sentiment for Bitcoin returns: Evidence from COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- Papadamou, Stephanos & Kyriazis, Nikolaos A. & Tzeremes, Panayiotis & Corbet, Shaen, 2021. "Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
- Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
- Nora CHIRIȚĂ & Camelia DELCEA & Ionuț NICA & Simona-Liliana CRĂCIUNESCU (PARAMON) & Ștefan-Andrei IONESCU, 2023. "Financial contagion and identifying speculative frenzies: Unraveling price bubbles in cryptocurrency markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(636), A), pages 21-40, Autumn.
- Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021.
"The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
- Larisa Yarovaya & Roman Matkovskyy & Akanksha Jalan, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Post-Print hal-03512931, HAL.
- Gil Cohen, 2021. "Trading Cryptocurrencies Using Second Order Stochastic Dominance," Mathematics, MDPI, vol. 9(22), pages 1-10, November.
- Paulo Ferreira & Éder Pereira, 2019. "Contagion Effect in Cryptocurrency Market," JRFM, MDPI, vol. 12(3), pages 1-8, July.
- Nicolas, Maxime L.D., 2022. "Estimating a model of herding behavior on social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
- Nina Tessler & Itzhak Venezia, 2022. "A multicountry measure of comovement and contagion in international markets: definition and applications," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1307-1330, May.
- Shao, Liuguo & Hu, Wenqin & Yang, Danhui, 2020. "The price relationship between main-byproduct metals from a multiscale nonlinear Granger causality perspective," Resources Policy, Elsevier, vol. 69(C).
- N. Blasco & P. Corredor & N. Satrústegui, 2022. "The witching week of herding on bitcoin exchanges," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-18, December.
- Ni, Xinwen & Härdle, Wolfgang Karl & Xie, Taojun, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," IRTG 1792 Discussion Papers 2020-013, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.
- Georgiana-Loredana Schipor (Frecea), 2019. "Investing Trust in Blockchain Technology: Bitcoin Case Study," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 884-888, December.
- Ebers, Axel & Thomsen, Stephan L., 2021.
"How do warnings affect retail demand for Bitcoin? Evidence from an international survey experiment,"
Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
- Ebers, Axel & Thomsen, Stephan L., 2021. "How do warnings affect retail demand for Bitcoin? Evidence from an international survey experiment," Hannover Economic Papers (HEP) dp-683, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Evrim Mandaci, Pinar & Cagli, Efe Caglar, 2022. "Herding intensity and volatility in cryptocurrency markets during the COVID-19," Finance Research Letters, Elsevier, vol. 46(PB).
- Sonia Arsi & Soumaya Ben Khelifa & Yosra Ghabri & Hela Mzoughi, 2021. "Cryptocurrencies: Key Risks and Challenges," World Scientific Book Chapters, in: Stéphane Goutte & Khaled Guesmi & Samir Saadi (ed.), Cryptofinance A New Currency for a New Economy, chapter 7, pages 121-145, World Scientific Publishing Co. Pte. Ltd..
- Rubbaniy, Ghulame & Polyzos, Stathis & Rizvi, Syed Kumail Abbas & Tessema, Abiot, 2021. "COVID-19, Lockdowns and herding towards a cryptocurrency market-specific implied volatility index," Economics Letters, Elsevier, vol. 207(C).
- Shahzad, Syed Jawad Hussain & Bouri, Elie & Ahmad, Tanveer & Naeem, Muhammad Abubakr & Vo, Xuan Vinh, 2021. "The pricing of bad contagion in cryptocurrencies: A four-factor pricing model," Finance Research Letters, Elsevier, vol. 41(C).
- Suvvari ANANDARAO & Balaga Mohana RAO & Anoop S KUMAR, 2023. "An enquiry into extreme price movements of the cryptocurrencies in the backdrop of COVID-19," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(635), S), pages 231-238, Summer.
- Coskun, Esra Alp & Lau, Chi Keung Marco & Kahyaoglu, Hakan, 2020. "Uncertainty and herding behavior: evidence from cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 54(C).
- Bai, Lan & Zhang, Xuhui & Liu, Yuntong & Wang, Qian, 2019. "Economic risk contagion among major economies: New evidence from EPU spillover analysis in time and frequency domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).