Does the cryptocurrency market exhibits feedback trading?

被引:0
作者
Jordao da Gama Silva, Paulo Vitor [1 ]
Neto, Augusto F. C. [2 ]
Klotzle, Marcelo Cabus [1 ]
Figueiredo Pinto, Antonio Carlos [1 ]
Gomes, Leonardo Lima [3 ]
机构
[1] Pontifical Catholic Univ Rio de Janeiro, Rio De Janeiro, Brazil
[2] Pontificia Univ Catolica Rio de Janeiro, Rio de Janeiro, Brazil
[3] Pontificia Univ Catolica Rio de Janeiro, IAG, Rio de Janeiro, Brazil
来源
ECONOMICS BULLETIN | 2019年 / 39卷 / 04期
关键词
STOCK RETURNS; TRADERS; VOLUME; IMPACT; MODEL;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Research has shown that behavioral anomalies affect investors' choices and decisions in the financial markets. One such behavioral anomaly is feedback trading, a phenomenon wherein the investor uses past data to make future decisions. Using Sentana and Wadhwani's (1992) methodology, the 50 most liquid digital currencies (with the most extensive daily data reporting) were analyzed during the period 2013-2018. Results analysis suggests negative feedback trading in Tether Dollar and positive feedback trading in Bitcoin, Ethereum, CassinoCoin and ECC.
引用
收藏
页码:2830 / 2838
页数:10
相关论文
共 50 条
[21]   An Empirical Study of Volatility in Cryptocurrency Market [J].
Gupta, Hemendra ;
Chaudhary, Rashmi .
JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2022, 15 (11)
[22]   Intraday lottery demands in cryptocurrency market [J].
Yadav, Manisha .
STUDIES IN ECONOMICS AND FINANCE, 2025, 42 (04) :799-835
[23]   Does proprietary day trading provide liquidity at a cost to investors? [J].
Liew, Ping-Xin ;
Lim, Kian-Ping ;
Goh, Kim-Leng .
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2020, 68
[24]   Information demand and cryptocurrency market activity [J].
Katsiampa, Paraskevi ;
Moutsianas, Konstantinos ;
Urquhart, Andrew .
ECONOMICS LETTERS, 2019, 185
[25]   How mutual funds respond to asymmetric feedback trading in China's stock market [J].
Wan, Die ;
Yang, Li ;
Yang, Xiaoguang .
JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING, 2024, 9 (02) :143-160
[26]   Does high-frequency trading reduce market underreaction to earnings news? [J].
Ke, Yun ;
Zhang, Yanan .
FINANCE RESEARCH LETTERS, 2020, 34
[27]   Revisiting the carbon footprint of cryptocurrency trading: A granger causality approach [J].
Alabi, Abdulkadri Toyin ;
Ishola, Abdullahi Omogbolahan .
SUSTAINABLE FUTURES, 2025, 10
[28]   Does mood affect trading behavior? [J].
Kaustia, Markku ;
Rantapuska, Elias .
JOURNAL OF FINANCIAL MARKETS, 2016, 29 :1-26
[29]   Recommending Cryptocurrency Trading Points with Deep Reinforcement Learning Approach [J].
Sattarov, Otabek ;
Muminov, Azamjon ;
Lee, Cheol Won ;
Kang, Hyun Kyu ;
Oh, Ryumduck ;
Ahn, Junho ;
Oh, Hyung Jun ;
Jeon, Heung Seok .
APPLIED SCIENCES-BASEL, 2020, 10 (04)
[30]   The dynamics of cryptocurrency market behavior: sentiment analysis using Markov chains [J].
Kim, Kwansoo ;
Lee, Sang-Yong Tom ;
Assar, Said .
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2022, 122 (02) :365-395