Forecasting stock market volitility- evidence from muscat security market using garch models

dc.contributor.authorTamilselvan, Manickam
dc.contributor.authorMastan Vali, Shaik
dc.date.accessioned2016-08-26T12:45:43Z
dc.date.available2016-08-26T12:45:43Z
dc.date.issued2016en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractEngle (1982) introduced the autoregressive conditionally heteroskedastic model for quantifying the conditional volatility and by Boollerslev (1986), Engle, Lilien and Robins (1987) and Glosten, Jaganathan and Runkle (1993) extended the class asymmetric model. Amongst many others, Bollerslev, Chou and Kroner (1992) or (1994) are considered to be the précis of ARCH family models. In this direction the paper forecasts the stock market volatility of four actively trading indices from Muscat security market by using daily observations of indices over the period of January 2001 to November 2015 using GARCH(1,1), EGARCH(1,1) and TGARCH (1,1) models. The study reveals the positive relationship between risk and return. The analysis exhibits that the volatility shocks are quite persistent. Further the asymmetric GARCH models find a significance evidence of asymmetry in stock returns. The study discloses that the volatility is highly persistent and there is asymmetrical relationship between return shocks and volatility adjustments and the leverage effect is found across all flour indices. Hence the investors are advised to formulate investment strategies by analyzing recent and historical news and forecast the future market movement while selecting portfolio for efficient management of financial risks to reap benefit in the stock market.en_US
dc.identifier.endpage53en_US
dc.identifier.issn2587-2036
dc.identifier.issue1en_US
dc.identifier.startpage37en_US
dc.identifier.urihttps://hdl.handle.net/11467/1524
dc.identifier.volume2en_US
dc.language.isoenen_US
dc.publisherİstanbul Ticaret Üniversitesien_US
dc.relation.ispartofInternational Journal of Commerce and Financeen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGARCHen_US
dc.subjectEGARCHen_US
dc.subjectTGARCHen_US
dc.subjectStock Market Volatilityen_US
dc.titleForecasting stock market volitility- evidence from muscat security market using garch modelsen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
M00760.pdf
Boyut:
905.98 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.71 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: