 The impact of higher order moments added to the multiscale Carhart model for different investment periodsAnyssa Trimech International Journal of Decision Sciences, Risk and Management, 2014, vol. 5, issue 3, 263-276 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. Keywords: risk measures; nonlinear market risk; size; value; momentum; multiresolution analysis; timescale; higher order moments; multiscale Carhart models; investment periods; wavelet decomposition; portfolio investment selection; skewness; kurtosis. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdsrm:v:5:y:2014:i:3:p:263-276 Access Statistics for this article More articles in International Journal of Decision Sciences, Risk and Management from Inderscience Enterprises Ltd |
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