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H. Goudarzi (2010)
Modeling and Estimation of Volatility in the Indian Stock Market
Ahmed (2011)
Aal Modeling and Forecasting Time Varying Stock Return Volatility in the Egyptian Stock Market Research ofInternational Journal Finance Economics
(1976)
Studies in stock price volatility changes
Kaur (2004)
Time varying volatility in the Indian Stock Market http dx org, 29
S. Norden, Huntley Schaller (1997)
Regime Switching in Stock Market ReturnsEconometrics
Floros (2008)
Modeling Volatility Using garch Models : Evidence from Egypt Middle Eastern FinanceEconomics
René Garcia
Série Scientifique Scientific Series Nº 95s-7 Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models
R. Chou (1988)
Volatility persistence and stock valuations: Some empirical evidence using garchJournal of Applied Econometrics, 3
Banumathy
Modeling Stock Market Volatility Evidence from India Managing Global Transitions, 13
Andrew Christie (1982)
The stochastic behavior of common stock variances: value
Weixian Wei (2002)
Forecasting stock market volatility with non-linear GARCH models: a case for ChinaApplied Economics Letters, 9
Harvinder Kaur (2004)
Time Varying Volatility in the Indian Stock MarketVikalpa: The Journal for Decision Makers, 29
Maliah Sulaiman, Norsyahida Mokhtar (2012)
Ensuring sustainability: a preliminary study of environmental management accounting in MalaysiaThe International Journal of Business and Management, 5
M. Karmakar (2007)
Asymmetric Volatility and Risk-return Relationship in the Indian Stock MarketSouth Asia Economic Journal, 8
L. Glosten, R. Jagannathan, D. Runkle (1993)
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on StocksJournal of Finance, 48
K. French, G. Schwert, R. Stambaugh (1987)
Expected stock returns and volatilityJournal of Financial Economics, 19
James Hamilton (1989)
A New Approach to the Economic Analysis of Nonstationary Time Series and the Business CycleEconometrica, 57
S. Lakshmi (2013)
Volatility Patterns in Various Sectoral Indices in Indian Stock Market
Lakshmi (2013)
Volatility Patterns in Various Sectoral Indices in Indian Stock Market Global of and StudiesJournal Management Business
K. Banumathy, R. Azhagaiah (2015)
Modelling Stock Market Volatility: Evidence from IndiaManaging global transitions, 13
Trilochan Tripathy, L. Gil‐Alana (2015)
Modelling time-varying volatility in the Indian stock returns: Some empirical evidenceReview of Development Finance, 5
H. Goudarzi (2010)
Modelling And Estimation Of Volatility In The Indian Stock MarketsInternational Journal of Biometrics, 5
M. Thiripalraju, Rajesh Acharya (2010)
Modeling Volatility for the Indian Stock MarketThe IUP Journal of Applied Economics, 9
(2015)
Modeling time - varying volatility in the Indian stock returns : Some empirical evidence
Moustafa AbdElaal (2011)
Modeling and Forecasting Time Varying Stock Return Volatility in the Egyptian Stock MarketEconometric Modeling: Capital Markets - Forecasting eJournal
Mittal (2012)
Modeling the Volatility of Indian Stock Market ofJournal Management, 10
Daniel Nelson (1991)
CONDITIONAL HETEROSKEDASTICITY IN ASSET RETURNS: A NEW APPROACHEconometrica, 59
(1976)
Studies in stock price volatility changes. Paper presented at the 1976 Meetings of the American Statistical Association
M. Mallikarjuna, R. Rao (2017)
Volatility Behaviour in selected Sectoral Indices of Indian Stock MarketsAsian Journal of Research in Banking and Finance, 7
Ramona Birau, Jatin Trivedi, Mihail Antonescu (2015)
Modeling S&P Bombay Stock Exchange BANKEX Index Volatility Patterns Using GARCH Model☆Procedia. Economics and finance, 32
T. Bollerslev (1986)
Generalized autoregressive conditional heteroskedasticityJournal of Econometrics, 31
Shveta Singh, A. Makkar (2014)
Relationship between Crisis and Stock Volatility: Evidence from Indian Banking SectorThe IUP Journal of Applied Finance, 20
M. Nyamongo, Roseline Misati (2010)
Modelling the time‐varying volatility of equities returns in KenyaAfrican Journal of Economic and Management Studies, 1
Kenneth Tah (2013)
Relationship between Volatility and Expected Returns in Two Emerging Markets
Christos Floros (2008)
Modelling volatility using GARCH models: evidence from Egypt and Israel
Garcia (1992)
Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models University of Montreal Department ofEconomics
AbstractThe study attempts to capture conditional variance of Indian banking sector’s stock market returns across the years 2005 to 2015 by employing different GARCH based symmetric and asymmetric models. The results report existence of persistency as well as leverage effects in the banking sector return volatility. On an expected note, the global financial crisis increased conditional volatility in the Indian banking sector during the years 2007 to 2009; further evidenced from Markov regime switches. The exponential GARCH (EGARCH) model is found to be the best fit model capturing time-varying variance in the banking sector. The results support strong implications for the market participants at the time of devising portfolio management strategies.
Scientific Annals of Economics and Business – de Gruyter
Published: Oct 1, 2017
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