A central topic in empirical asset pricing is how to explain anomalies in various trading horizons. This dissertation contains two essays that study several anomalies in medium-term/long-term investment in the equity market and in high-frequency trading in the foreign exchange market.
In the first essay, I propose an investor underreaction model with heterogeneous truncations across time and stocks. In this setting, investors are more attracted to dramatic changes in stock prices than to gradual changes. Continuous information causes signals to be truncated which delays their incorporation into stock prices thus generating momentum. Under the assumption that investors are more attracted to winner stocks and ignore more information in loser stocks, I show that a loser portfolio exhibits stronger momentum and higher profitability than a winner portfolio with the same discreteness level. A trading strategy based on this model yields high alphas and Sharpe ratios. Evidence from social media trends aligns well with this model.
In the second essay, I develop multivariate logistic models to explain the short-term offer price movement of the currency pair EUR/USD from the EBS limit order book. Using logistic regression based methods, I study the impact of various market microstructure factors on offer price changes in the next second. The empirical results show explanatory power for the testing sample up to 45% and a true positive rate of the prediction up to 87%. The model reveals interesting mechanisms for the underlying driving forces of the tick-by-tick currency price movement.
| Identifer | oai:union.ndltd.org:columbia.edu/oai:academiccommons.columbia.edu:10.7916/D8WQ03XP |
| Date | January 2016 |
| Creators | Shao, Shuxin |
| Source Sets | Columbia University |
| Language | English |
| Detected Language | English |
| Type | Theses |
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