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Cryptocurrency, confirmatory bias and news readability – evidence from the largest Chinese cryptocurrency exchange

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  • Shuyu Zhang
  • Xuanyu Zhou
  • Huifeng Pan
  • Junyi Jia

Abstract

We investigate whether Chinese cryptocurrency investors show confirmatory bias when processing authority‐related news. Authority‐related news is defined as news that is related to government authority (including central bank) policies or talk. By using data from the largest cryptocurrency exchange in China, we find that investors’ response to authority‐related news is negative and significant in general. Moreover, we find that the abnormal trading volume and standard deviation of abnormal trading volume are significantly higher for authority‐related news with higher readability, suggesting investors respond to the more readable authority‐related news with more trading behaviour.

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  • Shuyu Zhang & Xuanyu Zhou & Huifeng Pan & Junyi Jia, 2019. "Cryptocurrency, confirmatory bias and news readability – evidence from the largest Chinese cryptocurrency exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1445-1468, March.
    • Handle: RePEc:bla:acctfi:v:58:y:2019:i:5:p:1445-1468
    DOI: 10.1111/acfi.12454
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    as
    1. Lo, Kin & Ramos, Felipe & Rogo, Rafael, 2017. "Earnings management and annual report readability," Journal of Accounting and Economics, Elsevier, vol. 63(1), pages 1-25.
    2. Biddle, Gary C. & Hilary, Gilles & Verdi, Rodrigo S., 2009. "How does financial reporting quality relate to investment efficiency?," Journal of Accounting and Economics, Elsevier, vol. 48(2-3), pages 112-131, December.
    3. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    4. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    5. Kristina Rennekamp, 2012. "Processing Fluency and Investors’ Reactions to Disclosure Readability," Journal of Accounting Research, Wiley Blackwell, vol. 50(5), pages 1319-1354, December.
    6. Gus De Franco & Ole†Kristian Hope & Dushyantkumar Vyas & Yibin Zhou, 2015. "Analyst Report Readability," Contemporary Accounting Research, John Wiley & Sons, vol. 32(1), pages 76-104, March.
    7. Itzhak Ben-David & John R. Graham, 2013. "Managerial Miscalibration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1547-1584.
    8. Sebastien Pouget & Julien Sauvagnat & Stephane Villeneuve, 2017. "A Mind Is a Terrible Thing to Change: Confirmatory Bias in Financial Markets," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 2066-2109.
    9. Matthew Gentzkow & Jesse M. Shapiro, 2006. "Media Bias and Reputation," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 280-316, April.
    10. Charness, Gary & Dave, Chetan, 2017. "Confirmation bias with motivated beliefs," Games and Economic Behavior, Elsevier, vol. 104(C), pages 1-23.
    11. Li, Feng, 2008. "Annual report readability, current earnings, and earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 221-247, August.
    12. Price, S. McKay & Doran, James S. & Peterson, David R. & Bliss, Barbara A., 2012. "Earnings conference calls and stock returns: The incremental informativeness of textual tone," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 992-1011.
    13. Cynthia Weiyi Cai, 2018. "Disruption of financial intermediation by FinTech: a review on crowdfunding and blockchain," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(4), pages 965-992, December.
    14. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    15. Thaler, Richard H, 1987. "The January Effect," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 197-201, Summer.
    16. Yugang Yin & Bin Tan, 2017. "Analyst’s ability, media selection and investor interests: evidence from China," China Finance Review International, Emerald Group Publishing Limited, vol. 7(1), pages 67-84, February.
    17. Angela K. Davis & Jeremy M. Piger & Lisa M. Sedor, 2006. "Beyond the numbers: an analysis of optimistic and pessimistic language in earnings press releases," Working Papers 2006-005, Federal Reserve Bank of St. Louis.
    18. Jiao, Peiran & Veiga, André & Walther, Ansgar, 2020. "Social media, news media and the stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 63-90.
    19. Diego García & Francesco Sangiorgi & Branko Urošević, 2007. "Overconfidence and Market Efficiency with Heterogeneous Agents," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 30(2), pages 313-336, February.
    20. Lawrence, Alastair, 2013. "Individual investors and financial disclosure," Journal of Accounting and Economics, Elsevier, vol. 56(1), pages 130-147.
    21. Gandal, Neil & Hamrick, JT & Moore, Tyler & Oberman, Tali, 2018. "Price manipulation in the Bitcoin ecosystem," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 86-96.
    22. Hwang, Byoung-Hyoun & Kim, Hugh Hoikwang, 2017. "It pays to write well," Journal of Financial Economics, Elsevier, vol. 124(2), pages 373-394.
    23. Ertugrul, Mine & Lei, Jin & Qiu, Jiaping & Wan, Chi, 2017. "Annual Report Readability, Tone Ambiguity, and the Cost of Borrowing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 811-836, April.
    24. Leung, Sidney & Parker, Lee & Courtis, John, 2015. "Impression management through minimal narrative disclosure in annual reports," The British Accounting Review, Elsevier, vol. 47(3), pages 275-289.
    25. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    26. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    27. Francois R. Velde, 2013. "Bitcoin: a primer," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Dec.
    28. Kyle, Albert S & Wang, F Albert, 1997. "Speculation Duopoly with Agreement to Disagree: Can Overconfidence Survive the Market Test?," Journal of Finance, American Finance Association, vol. 52(5), pages 2073-2090, December.
    29. Brad M. Barber & Terrance Odean, 2001. "The Internet and the Investor," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 41-54, Winter.
    30. Benos, Alexandros V., 1998. "Aggressiveness and survival of overconfident traders," Journal of Financial Markets, Elsevier, vol. 1(3-4), pages 353-383, September.
    31. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    32. Lisa M. Gaynor & Andrea S. Kelton, 2014. "The effects of analyst forecasts and earnings trends on perceptions of management forecast credibility," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(1), pages 189-210, March.
    33. Guay, Wayne & Samuels, Delphine & Taylor, Daniel, 2016. "Guiding through the Fog: Financial statement complexity and voluntary disclosure," Journal of Accounting and Economics, Elsevier, vol. 62(2), pages 234-269.
    34. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    35. Asay, H. Scott & Libby, Robert & Rennekamp, Kristina M., 2018. "Do features that associate managers with a message magnify investors’ reactions to narrative disclosures?," Accounting, Organizations and Society, Elsevier, vol. 68, pages 1-14.
    36. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    37. Xu, Nianhang & Jiang, Xuanyu & Chan, Kam C. & Yi, Zhihong, 2013. "Analyst coverage, optimism, and stock price crash risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 217-239.
    38. Dwyer, Gerald P., 2015. "The economics of Bitcoin and similar private digital currencies," Journal of Financial Stability, Elsevier, vol. 17(C), pages 81-91.
    39. Chau Duong & Gioia Pescetto & Daniel Santamaria, 2014. "How value-glamour investors use financial information: UK evidence of investors' confirmation bias," The European Journal of Finance, Taylor & Francis Journals, vol. 20(6), pages 524-549, June.
    40. Adrian (Wai-Kong) Cheung & Eduardo Roca & Jen-Je Su, 2015. "Crypto-currency bubbles: an application of the Phillips-Shi-Yu (2013) methodology on Mt. Gox bitcoin prices," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2348-2358, May.
    41. Lang, Mark & Stice-Lawrence, Lorien, 2015. "Textual analysis and international financial reporting: Large sample evidence," Journal of Accounting and Economics, Elsevier, vol. 60(2), pages 110-135.
    42. repec:bla:jfinan:v:53:y:1998:i:6:p:1887-1934 is not listed on IDEAS
    43. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
    44. JaeHong Park & Prabhudev Konana & Bin Gu & Alok Kumar & Rajagopal Raghunathan, 2013. "Information Valuation and Confirmation Bias in Virtual Communities: Evidence from Stock Message Boards," Information Systems Research, INFORMS, vol. 24(4), pages 1050-1067, December.
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    2. Shuyu Zhang & Dunli Zhang & Jianming Zheng & Walter Aerts, 2021. "Does policy uncertainty of the blockchain dampen ICO markets?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1625-1637, April.
    3. Cynthia W. Cai & Martina K. Linnenluecke & Mauricio Marrone & Abhay K. Singh, 2019. "Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific," Abacus, Accounting Foundation, University of Sydney, vol. 55(4), pages 709-733, December.
    4. Qing Shi & Xiaoqi Sun, 2020. "A Scientometric Review of Digital Currency and Electronic Payment Research: A Network Perspective," Complexity, Hindawi, vol. 2020, pages 1-17, November.
    5. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    6. Zhang, Shuyu & Aerts, Walter & Lu, Liping & Pan, Huifeng, 2019. "Readability of token whitepaper and ICO first-day return," Economics Letters, Elsevier, vol. 180(C), pages 58-61.
    7. Michael Cary, 2024. "Herding and investor sentiment after the cryptocurrency crash: evidence from Twitter and natural language processing," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
    8. Qingchong Chen & Xiong Xiong & Ya Gao, 2021. "Is information really efficient for the market? Evidence of confirmatory bias in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 5965-5997, December.
    9. Martins, António Miguel, 2024. "Short-term market impact of crypto firms’ bankruptcies on cryptocurrency markets," Research in International Business and Finance, Elsevier, vol. 70(PB).

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