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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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 |
_version_ |
1725630333150298112 |