Cross sectional moments and portfolio returns: Evidence for select emerging markets

Research does not indicate a consensus on the relationship between idiosyncratic volatility and asset returns. Moreover, the role of cross sectional higher order moments in predicting market returns is relatively unexplored. We show that the cross sectional volatility measure suggested by Garcia et ...

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Main Authors: Sanjay Sehgal, Vidisha Garg
Format: Article
Language:English
Published: Elsevier 2016-09-01
Series:IIMB Management Review
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0970389616300453
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spelling doaj-a9ab69ff463d4b208e61f231156863f92020-11-24T23:04:27ZengElsevierIIMB Management Review0970-38962016-09-0128314715910.1016/j.iimb.2016.07.001Cross sectional moments and portfolio returns: Evidence for select emerging marketsSanjay Sehgal0Vidisha Garg1Department of Financial Studies, University of Delhi, IndiaMaitreyi College, University of Delhi, IndiaResearch does not indicate a consensus on the relationship between idiosyncratic volatility and asset returns. Moreover, the role of cross sectional higher order moments in predicting market returns is relatively unexplored. We show that the cross sectional volatility measure suggested by Garcia et al. is highly correlated with alternative measures of idiosyncratic volatility constructed as variance of errors from the capital asset pricing model and the Fama French model. We find that cross sectional moments help in predicting aggregate market returns in some sample countries and also provide information for portfolio formation, which is more consistent for portfolios sorted on sensitivity to cross sectional skewness.http://www.sciencedirect.com/science/article/pii/S0970389616300453Idiosyncratic volatilityCross sectional varianceHigher order momentsFama French modelTrading strategies
collection DOAJ
language English
format Article
sources DOAJ
author Sanjay Sehgal
Vidisha Garg
spellingShingle Sanjay Sehgal
Vidisha Garg
Cross sectional moments and portfolio returns: Evidence for select emerging markets
IIMB Management Review
Idiosyncratic volatility
Cross sectional variance
Higher order moments
Fama French model
Trading strategies
author_facet Sanjay Sehgal
Vidisha Garg
author_sort Sanjay Sehgal
title Cross sectional moments and portfolio returns: Evidence for select emerging markets
title_short Cross sectional moments and portfolio returns: Evidence for select emerging markets
title_full Cross sectional moments and portfolio returns: Evidence for select emerging markets
title_fullStr Cross sectional moments and portfolio returns: Evidence for select emerging markets
title_full_unstemmed Cross sectional moments and portfolio returns: Evidence for select emerging markets
title_sort cross sectional moments and portfolio returns: evidence for select emerging markets
publisher Elsevier
series IIMB Management Review
issn 0970-3896
publishDate 2016-09-01
description Research does not indicate a consensus on the relationship between idiosyncratic volatility and asset returns. Moreover, the role of cross sectional higher order moments in predicting market returns is relatively unexplored. We show that the cross sectional volatility measure suggested by Garcia et al. is highly correlated with alternative measures of idiosyncratic volatility constructed as variance of errors from the capital asset pricing model and the Fama French model. We find that cross sectional moments help in predicting aggregate market returns in some sample countries and also provide information for portfolio formation, which is more consistent for portfolios sorted on sensitivity to cross sectional skewness.
topic Idiosyncratic volatility
Cross sectional variance
Higher order moments
Fama French model
Trading strategies
url http://www.sciencedirect.com/science/article/pii/S0970389616300453
work_keys_str_mv AT sanjaysehgal crosssectionalmomentsandportfolioreturnsevidenceforselectemergingmarkets
AT vidishagarg crosssectionalmomentsandportfolioreturnsevidenceforselectemergingmarkets
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