A bibliometric analysis of behavioural finance with mapping analysis tools

被引：76

作者：

Paule-Vianez, Jessica ^{[1
]}

Gomez-Martinez, Raul ^{[1
]}

Prado-Roman, Camilo ^{[1
]}

机构：

[1] Univ Rey Juan Carlos, Fac Legal & Social Sci, Dept Business Econ, Area Financial Econ & Accounting Paseo Artilleros, Paseo Artilleros S-N, Madrid 28032, Spain

来源：

EUROPEAN RESEARCH ON MANAGEMENT AND BUSINESS ECONOMICS | 2020年 / 26卷 / 02期

关键词：

Behavioural finance; Science mapping analysis; Knowledge visualization; Co-word analysis; INVESTOR SENTIMENT; IDIOSYNCRATIC VOLATILITY; PROSPECT-THEORY; CROSS-SECTION; STOCK; RETURNS; LONG; OVERCONFIDENCE; UNCERTAINTY; ARBITRAGE;

D O I：

10.1016/j.iedeen.2020.01.001

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Market efficiency has been questioned since behavioural finance emerged. However, there is no theory consolidating both irrational investors-behaviour and their influence on financial markets. In this paper, we use bibliometrics to gain better knowledge of the current situation and trends in this research area. The results obtained by analysing the 1987-2017 period show a growth potential of Behavioural Finance. Investor sentiment is the main subject among the thirteen main subjects of this area. (C) 2020 AEDEM. Published by Elsevier Espana, S.L.U.

引用

页码：71 / 77

页数：7

共 59 条

[1] Bubbles and crashes [J].