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Bonus schemes and trading activity
Affiliation:1. Tilburg University, PO Box 90153, 5000 LE Tilburg the Netherlands;2. Department of Finance, Tilburg University, PO Box 90153 5000 LE Tilburg, the Netherlands;3. TiasNimbas Business School, Tilburg University, PO Box 90153 5000 LE Tilburg, the Netherlands;4. Department of Economics, University of Zurich, Blumlisalpstrasse 10, 8006 Zurich, Switzerland;1. Bauer College of Business, University of Houston, Houston, TX 77204, United States;2. School of Business and Economics, Universidad de los Andes, Santiago, Chile;1. Lingnan University, Hong Kong, China;2. Shanghai University of Finance and Economics, Shanghai, China;3. China Europe International Business School, Shanghai, China;4. Central University of Finance and Economics, Beijing, China
Abstract:Little is known about how different bonus schemes affect traders' propensity to trade and which bonus schemes improve traders' performance. We study the effects of linear versus threshold bonus schemes on traders' behavior. Traders buy and sell shares in an experimental stock market on the basis of fundamental and technical information (past share price evolution, realized earnings, analysts' earnings forecasts, and evolution of the market index). We find that linear and threshold bonus schemes have different effects on trading behavior: traders make more transactions but of a smaller size under the threshold than under the linear bonus scheme. Furthermore, transaction frequency significantly decreases when bonus thresholds are reached but only after building in a safety margin. Under the threshold scheme, the traders' performance is lower (even when there are no transaction costs) than under the linear bonus scheme as a consequence of poorer market timing. This is especially the case when earning money by trading is relatively difficult (i.e., under low profitability conditions). Nevertheless, under low profitability conditions, traders seem to collect more information about the relationships between share price and market returns, earnings, and earnings forecasts, put more effort into understanding those relationships, and thus eventually learn to perform better.
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