Rational quantitative trading in efficient markets
成果类型:
Article
署名作者:
Rossi, Stefano; Tinn, Katrin
署名单位:
Bocconi University; Centre for Economic Policy Research - UK; European Corporate Governance Institute; McGill University
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2020.105127
发表日期:
2021
关键词:
Quantitative trading
Uncertainty about informed trading
market efficiency
learning
摘要:
We present a model where quantitative trading - trading strategies based on the quantitative analysis of prices, volumes, and other asset and market characteristics - is systematically profitable for sophisticated traders whose only source of private information is knowing better than other market participants how many fundamental traders, i.e., traders informed about fundamentals, are active in the market. In equilibrium, the direction of optimal quantitative trading depends on the number of fundamental traders and often switches sign when order flow increases: with few fundamental traders, optimal quantitative trading is trend-following (re. contrarian) after small (re. large) price changes; with many fundamental traders, the opposite holds: it is contrarian (re. trend-following) after small (re. large) price changes. (C) 2020 Elsevier Inc. All rights reserved.