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] DOES INDEX FUTURES TRADING REDUCE VOLATILITY IN THE CHINESE STOCK MARKET? A PANEL DATA EVALUATION APPROACH
    Chen, Haiqiang
    Han, Qian
    Li, Yingxing
    Wu, Kai
    JOURNAL OF FUTURES MARKETS, 2013, 33 (12) : 1167 - 1190
  • [22] Information demand and cryptocurrency market activity
    Katsiampa, Paraskevi
    Moutsianas, Konstantinos
    Urquhart, Andrew
    ECONOMICS LETTERS, 2019, 185
  • [23] Does proprietary day trading provide liquidity at a cost to investors?
    Liew, Ping-Xin
    Lim, Kian-Ping
    Goh, Kim-Leng
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2020, 68
  • [24] How mutual funds respond to asymmetric feedback trading in China's stock market
    Wan, Die
    Yang, Li
    Yang, Xiaoguang
    JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING, 2024, 9 (02) : 143 - 160
  • [25] Does high-frequency trading reduce market underreaction to earnings news?
    Ke, Yun
    Zhang, Yanan
    FINANCE RESEARCH LETTERS, 2020, 34
  • [26] Recommending Cryptocurrency Trading Points with Deep Reinforcement Learning Approach
    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):
  • [27] The dynamics of cryptocurrency market behavior: sentiment analysis using Markov chains
    Kim, Kwansoo
    Lee, Sang-Yong Tom
    Assar, Said
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2022, 122 (02) : 365 - 395
  • [28] Trading of foreign investors and stock returns in an emerging market Evidence from Vietnam
    Xuan Vinh Vo
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2017, 52 : 88 - 93
  • [29] Trading Dynamics in the Foreign Exchange Market: A Latent Factor Panel Intensity Approach
    Nolte, Ingmar
    Voev, Valeri
    JOURNAL OF FINANCIAL ECONOMETRICS, 2011, 9 (04) : 685 - 716
  • [30] Does mood affect trading behavior?
    Kaustia, Markku
    Rantapuska, Elias
    JOURNAL OF FINANCIAL MARKETS, 2016, 29 : 1 - 26
12345