Brzeszczynski, Janusz and Ibrahim, Boulis Maher (2019) A Stock Market Trading System Based on Foreign and Domestic Information. Expert Systems with Applications, 118. pp. 381-399. ISSN 0957-4174
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Abstract
This paper investigates whether a particular magnitude and direction of inter-regional return signal transmission dominates the performance of domestic trading in American, European and Australasian stock markets. A trading system design, based on fuzzy logic rules, combines direct and indirect channels of foreign information transmission, modelled by stochastic parameter regressions, with domestic momentum information to generate stock market trading signals. Filters that control for magnitude and direction of trading signals are then used to investigate incremental impact on economic performance of the proposed investment system. The results indicate that at reasonable levels of transaction costs very profitable trades that are fewer in number do not increase investment performance as much as trades based on foreign information of a specific low-to-medium daily return magnitude of 0.5% to 0.75%. These information-based strategies are profitable on risk-adjusted bases and relative to a market, but performance declines considerably when traded instruments are used.
Item Type: | Article |
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Uncontrolled Keywords: | Stock market trading; Information transmission; Fuzzy system rules; Stock trading system design; System testing and performance evaluation; Stock market forecasting |
Subjects: | N300 Finance |
Department: | Faculties > Business and Law > Newcastle Business School |
Depositing User: | Paul Burns |
Date Deposited: | 18 Oct 2018 08:54 |
Last Modified: | 31 Jul 2021 22:06 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/36362 |
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