scholarly journals Realized Jump Risk and Equity Return in China

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Guojin Chen ◽  
Xiaoqun Liu ◽  
Peilin Hsieh ◽  
Xiangqin Zhao

We utilize the realized jump components to explore a new jump (including nonsystematic jump and systematic jump) risk factor model. After estimating daily realized jumps from high-frequency transaction data of the Chinese A-share stocks, we calculate monthly jump size, monthly jump standard deviation, and monthly jump arrival rate and then use those monthly jump factors to explain the return of the following month. Our empirical results show that the jump tail risk can explain the equity return. For the large capital-size stocks, large cap stock portfolios, and index, one-month lagged jump risk factor significantly explains the asset return variation. Our results remain the same even when we add the size and value factors in the robustness tests.

2014 ◽  
Vol 14 (2) ◽  
pp. 112-132 ◽  
Author(s):  
Lindsay A. Bornheimer ◽  
Duy Nguyen

2018 ◽  
Vol 29 (9) ◽  
pp. 915-921 ◽  
Author(s):  
Maria Paula L. Coltro ◽  
Ahmet Ozkomur ◽  
Eduardo A. Villarinho ◽  
Eduardo R. Teixeira ◽  
Alvaro Vigo ◽  
...  

2017 ◽  
Vol 8 (3) ◽  
pp. 51 ◽  
Author(s):  
Darrol J. Stanley ◽  
Levan Efremidze ◽  
Jannie Rossouw

We investigate the predictability of an exchange rate with entropy risk factor model, as there is growing evidence that financial markets behave as complex systems. The model is tested on the data of South African Rand (ZAR) exchange rate for the period of 2004-2015. We calculate sample entropy based on the daily data of the exchange rate and conduct empirical implementation of several market timing rules based on these entropy signals. The dynamic investment portfolio based on entropy signals produces better risk adjusted performance than a buy and hold strategy. The returns are estimated on the portfolio values in U.S. dollars. The results raise the potential attractiveness of complex systems analyses, especially the methods of entropy, for foreign exchange market research and applications.


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