Social media-based attention and the cross-section of cryptocurrency returns

IF 3.6 2区 经济学 Q1 BUSINESS, FINANCE
Arnaud T. Maître, Nikolay Pugachyov, Florian Weigert
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引用次数: 0

Abstract

This paper investigates how investors’ abnormal attention affects the cross-section of cryptocurrency returns in the period from 2018 to 2022. We capture abnormal attention using the (log) number of Twitter posts on individual cryptocurrencies on the current day minus a 30-day average. Our results reveal that abnormal attention is positively associated with contemporaneous and one-day ahead crypto performance. Among the different Twitter tweets, return predictability arises due to Ticker-tweets from investors, but not due to tweets from the cryptocurrency channel. These Official-tweets, however, are able to forecast technological innovations on the blockchain.
基于社交媒体的关注和加密货币回报的横截面
本文研究了2018 - 2022年期间投资者异常关注对加密货币收益横截面的影响。我们使用当天单个加密货币的Twitter帖子(日志)数量减去30天的平均值来捕获异常关注。我们的研究结果表明,异常注意力与同期和一天前的加密表现呈正相关。在不同的Twitter推文中,回报可预测性是由投资者的股票推文引起的,而不是由加密货币渠道的推文引起的。然而,这些官方推文能够预测b区块链上的技术创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.40
自引率
5.40%
发文量
262
期刊介绍: The Journal of Banking and Finance (JBF) publishes theoretical and empirical research papers spanning all the major research fields in finance and banking. The aim of the Journal of Banking and Finance is to provide an outlet for the increasing flow of scholarly research concerning financial institutions and the money and capital markets within which they function. The Journal''s emphasis is on theoretical developments and their implementation, empirical, applied, and policy-oriented research in banking and other domestic and international financial institutions and markets. The Journal''s purpose is to improve communications between, and within, the academic and other research communities and policymakers and operational decision makers at financial institutions - private and public, national and international, and their regulators. The Journal is one of the largest Finance journals, with approximately 1500 new submissions per year, mainly in the following areas: Asset Management; Asset Pricing; Banking (Efficiency, Regulation, Risk Management, Solvency); Behavioural Finance; Capital Structure; Corporate Finance; Corporate Governance; Derivative Pricing and Hedging; Distribution Forecasting with Financial Applications; Entrepreneurial Finance; Empirical Finance; Financial Economics; Financial Markets (Alternative, Bonds, Currency, Commodity, Derivatives, Equity, Energy, Real Estate); FinTech; Fund Management; General Equilibrium Models; High-Frequency Trading; Intermediation; International Finance; Hedge Funds; Investments; Liquidity; Market Efficiency; Market Microstructure; Mergers and Acquisitions; Networks; Performance Analysis; Political Risk; Portfolio Optimization; Regulation of Financial Markets and Institutions; Risk Management and Analysis; Systemic Risk; Term Structure Models; Venture Capital.
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