Abstract
Nonlinear market risk is considered to have a significant effect on the return variation. This risk as well as those proposed by Carhart (1997) determines the financial changes. This paper seeks to explore the importance of taking into account this effect through the investigation conducted on the model of Carhart augmented by the higher order moments, using the multiresolution analysis (MRA) based on wavelet decomposition over different time scales. This tool improves the accuracy and the performance of the period and portfolio investment selection. The empirical results show the importance of nonlinear market systematic risk (as measured by skewness and kurtosis) in addition to the risks captured by Carhart risks (linear systematic market risk, unsystematic risk connected to size, value and momentum). Moreover, they emphasise the high sensitivity and dependence of the model explanatory power and risks to the time scale variation.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
