Effectiveness of Signal Precision and Risky Choice
- 1 Institute of Management and Decision, Shanxi University, Taiyuan, China
- 2 School of Finance, Shanxi University of Finance and Economics, Taiyuan, China
- 3 School of Economic and Management, Shanxi University, Taiyuan, China
Abstract
Higher signal precision helps to predict returns more accurately. But higher signal precision requires higher more costs and longer time. The acquisition of higher precision signals has two opposite effects for investors. First, the higher precision helps with return forecast. Second, the longer processing time is a disadvantage for decision making. We build a rational expected model under the assumption that the longer processing time takes, the higher the signal precision. The results show that higher signal precision is not always better after considering signal processing time. There is an optimal signal waiting time for investors.
- Brunnermeier, M. (2005). Information Leakage and Market Efficiency. The Review of Financial Studies, 18, 417-457. https://doi.org/10.1093/rfs/hhi015
- Grossman, S. J., & Stiglitz, J. E. (1980). On the Impossibility of Informationally Efficient Markets. American Economic Review, 70, 393-408.
- Han, B., Tang, Y., & Yang, L. (2016). Public Information and Uninformed Trading: Implications for Market Liquidity and Price Efficiency. Journal of Economic Theory, 163, 604-643. https://doi.org/10.1016/j.jet.2016.02.012
- Jérome, D., & Thierry, F. (2018). Data Abundance and Asset Price Informativeness. Journal of Financial Economics, 130, 367-391. https://doi.org/10.1016/j.jfineco.2018.07.004
- Kyle, A. S. (1985). Continuous Auctions and Insider Trading. Econometrica, 53, 1315-1335. https://doi.org/10.2307/1913210
- Peng, G. & Cao, X. (2008). The Influence of Signal Accuracy on Investor’s Effort and Risk Choice. Statistics and Decision, 3, 55-57. (In Chinese)