Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/9884
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDHARAJAIN-
dc.date.accessioned2024-02-27T07:15:02Z-
dc.date.available2024-02-27T07:15:02Z-
dc.date.issued2014-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/9884-
dc.description.abstractBasic objective of study was to examine the effect of ARCH and GARCH model on price volatility of Nifty Realty Index along with that analysing leverage effects and volatility clustering. Volatility shocks were measured bydaily closing data of Realty Index of National Stock Exchange. Descriptive analysis of study explained distribution of daily returns were non- normal showing negative skewness and excess kurtosis. Unit root test confirms presence of stationarity in the data and ARCH-LM test exhibits presence of heteroskedasticity in the residual series, which thereby directs towards application of ARCH and GARCH model.Study concluded that GARCH (1,1) model explained the impact of past volatility due to its influence on current volatility. The data is also supported by volatility persistence which influence the GARCH (1,1) model and leadto increase in volatility and thereby affect its returns-
dc.publisherFINANCE INDIA-
dc.titleModeling Stock Market Return Volatility: GARCH Evidence from Nifty Realty Index-
dc.volVol 36-
dc.issuedNo 1-
Appears in Collections:Articles to be qced

Files in This Item:
File SizeFormat 
Modeling Stock Market Return Volatility- GARCH Evidence from Nifty Realty Index.pdf
  Restricted Access
4.09 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.