The Decomposition of Jump Risks in Individual Stock Returns

The decomposition of jump risks in individual stock returns

Journal of Empirical Finance ◽

10.1016/j.jempfin.2018.04.002 ◽

2018 ◽

Vol 47 ◽

pp. 207-228 ◽

Cited By ~ 3

Author(s):

Xiao Xiao ◽

Chen Zhou

Keyword(s):

Stock Returns ◽

Jump Risks

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Measuring Tail Risks at High Frequency

Review of Financial Studies ◽

10.1093/rfs/hhy133 ◽

2018 ◽

Vol 32 (9) ◽

pp. 3571-3616 ◽

Cited By ~ 1

Author(s):

Brian M Weller

Keyword(s):

Stock Returns ◽

High Frequency ◽

Trading Volume ◽

Extreme Event ◽

Open Market ◽

Federal Open Market Committee ◽

Tail Risk ◽

Market Risks ◽

Jump Risks ◽

Liquidity Shock

Abstract I exploit information in the cross-section of bid-ask spreads to develop a new measure of extreme event risk. Spreads embed tail risk information because liquidity providers require compensation for the possibility of sharp changes in asset values. I show that simple regressions relating spreads and trading volume to factor betas recover this information and deliver high-frequency tail risk estimates for common factors in stock returns. My methodology disentangles financial and aggregate market risks during the 2007–2008 financial crisis; quantifies jump risks associated with Federal Open Market Committee announcements; and anticipates an extreme liquidity shock before the 2010 Flash Crash. Received April 27, 2016; editorial decision August 10, 2018 by Editor Andrew Karolyi. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online

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Freedom Indices and Capital Asset Pricing Model: Some Malaysian Evidence

International Journal of Management, Finance and Accounting ◽

10.33093/ijomfa.2020.1.1.1 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1-21

Author(s):

Ying Tay Lee ◽

Devinaga Rasiah ◽

Ming Ming Lai

Keyword(s):

Human Rights ◽

Asset Pricing ◽

Stock Returns ◽

Firm Size ◽

Explanatory Power ◽

Least Square ◽

Press Freedom ◽

Capital Asset Pricing ◽

Capital Asset ◽

Cross Sectional

Human rights and fundamental freedoms such as economic, political, and press freedoms vary widely from country to country. It creates opportunity and risk in investment decisions. Thus, this study is carried out to examine if the explanatory power of the model for capital asset pricing could be improved when these human rights movement indices are included in the model. The sample for this study comprises of 495 stocks listed in Bursa Malaysia, covering the sampling period from 2003 to 2013. The model applied in this study employed the pooled ordinary least square regression estimation. In addition, the robustness of the model is tested by using firm size as a controlled variable. The findings show that market beta as well as the economic and press freedom indices could explain the cross-sectional stock returns of the Malaysian stock market. By controlling the firm size, it adds marginally to the explanation of the extended CAP model which incorporated economic, political, and press freedom indices.

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