Huang, Fangzhou
2013.
The cross-sectional determinants of US stocks returns.
PhD Thesis,
Cardiff University.
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Abstract
In this thesis, we investigate the relationship between the US stock returns and downside risk in a cross-sectional context. When the classic market model with a moving window approach is adopted, downside risk estimated coefficients exhibit a positive impact on stock returns. However, when two other non-linear time-varying models; the cuiic piecewise polynomial function (CPPF) and the Fourier Flexible Form (FFF) models are adopted, downside risk estimated coefficients show a negative impact on stock returns, Cross-sectinally, the reisk estimated coefficients of the town non-linear models produce a much better fit than the classic market model. The predictive power for future stock returns of downside risk estimated coefficients are found to be weak. Two more risk factors: commodityh market risk and Aruoba-Diebold-Scotti (ADS) business condition index risk (both downside and upside versions thereof), are shown to have a significant effect on stock returns.
Item Type: | Thesis (PhD) |
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Status: | Unpublished |
Schools: | Business (Including Economics) |
Subjects: | H Social Sciences > HG Finance |
Date of First Compliant Deposit: | 30 March 2016 |
Last Modified: | 19 Mar 2016 23:22 |
URI: | https://orca.cardiff.ac.uk/id/eprint/49343 |
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