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Ignacio Lobato, N. Savin (1996)
Real and Spurious Long-Memory Properties of Stock-Market DataJournal of Business & Economic Statistics, 16
R. Baillie (1996)
Long memory processes and fractional integration in econometricsJournal of Econometrics, 73
Graham Smith (2007)
Random walks in Middle Eastern stock marketsApplied Financial Economics, 17
K. Chaudhuri, Yangru Wu (2003)
Random walk versus breaking trend in stock prices: Evidence from emerging marketsJournal of Banking and Finance, 27
(1984)
The Persistence of Volatility and Stock Market Fluctuations
Tim Bollerslev, R. Chou, K. Kroner (1992)
ARCH modeling in finance: A review of the theory and empirical evidenceJournal of Econometrics, 52
T. Mikosch, C. Stărică (2004)
Changes of structure in financial time series and the GARCH modelEconometrics, 2
R. Chou (1988)
Volatility persistence and stock valuations: Some empirical evidence using garchJournal of Applied Econometrics, 3
R. Engle (1982)
Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflationEconometrica, 50
Pierre Perron, Zhongjun Qu (2006)
An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts
J. Belaire-Franch, K. Opong (2005)
Some evidence of random walk behavior of Euro exchange rates using ranks and signsJournal of Banking and Finance, 29
F. Diebold, A. Inoue (2000)
Long Memory and Regime SwitchingEconometrics eJournal
J. Campbell, A. Lo, A. Mackinlay (1996)
THE ECONOMETRICS OF FINANCIAL MARKETSMacroeconomic Dynamics, 2
R. Baillie, Tim Bollerslev, H. Mikkelsen (1996)
Fractionally integrated generalized autoregressive conditional heteroskedasticityJournal of Econometrics, 74
John Geweke, S. Porter-Hudak (1983)
THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELSJournal of Time Series Analysis, 4
Zhuanxin Ding, C. Granger, R. Engle (1993)
A long memory property of stock market returns and a new model
Charles Yartey, C. Adjasi (2007)
Stock Market Development in Sub-Saharan Africa: Critical Issues and ChallengesMonetary Economics eJournal
W. Lastrapes (1989)
Exchange Rate Volatility and U.S. Monetary Policy: An ARCH ApplicationJournal of Money, Credit and Banking, 21
Magnus Magnusson, Bruce Wydick (2002)
How Efficient are Africa's Emerging Stock Markets?The Journal of Development Studies, 38
C. Granger, Roselyne Joyeux (1980)
AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCINGJournal of Time Series Analysis, 1
J. Appiah-Kusi, Kojo Menyah (2003)
Return predictability in African stock marketsReview of Financial Economics, 12
H. Iemoto (1986)
Modelling the persistence of conditional variancesEconometric Reviews, 5
Ian Domowitz, Jack Glen, Ananth Madhavan (1998)
International Cross-Listing and Order Flow Migration: Evidence from an Emerging MarketJournal of Finance, 53
Jonathan Wright (2000)
Alternative Variance-Ratio Tests Using Ranks and SignsJournal of Business & Economic Statistics, 18
R. Levine (1999)
Financial Development and Economic Growth: Views and Agenda
Ctlin Stric, C. Granger (2005)
Nonstationarities in Stock ReturnsReview of Economics and Statistics, 87
J. Belaire-Franch, K. Opong (2005)
A Variance Ratio Test of the Behaviour of Some FTSE Equity Indices Using Ranks and SignsReview of Quantitative Finance and Accounting, 24
Yock Chong, D. Hendry (1986)
Econometric Evaluation of Linear Macro-Economic ModelsThe Review of Economic Studies, 53
Graham Smith, K. Jefferis, Hyun-Jung Ryoo (2002)
African stock markets: multiple variance ratio tests of random walksApplied Financial Economics, 12
Stijn Claessens, S. Dasgupta, Jack Glen (1995)
Return Behavior in Emerging Stock MarketsThe World Bank Economic Review, 9
C. Granger, Namwon Hyung (2004)
Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returnsJournal of Empirical Finance, 11
C. Lamoureux, W. Lastrapes (1990)
Persistence in Variance, Structural Change, and the GARCH ModelJournal of Business & Economic Statistics, 8
Jushan Bai, Pierre Perron (1995)
Estimating and testing linear models with multiple structural changesEconometrica, 66
D. McMillan, Isabel Ruiz (2009)
Volatility persistence, long memory and time-varying unconditional mean: Evidence from 10 equity indicesThe Quarterly Review of Economics and Finance, 49
S. Poon, C. Granger (2003)
Forecasting Volatility in Financial Markets: A ReviewJournal of Economic Literature, 41
Tim Bollerslev, H. Mikkelsen (1996)
MODELING AND PRICING LONG- MEMORY IN STOCK MARKET VOLATILITYJournal of Econometrics, 73
Eric Ghysels, A. Harvey, É. Renault (1996)
5 Stochastic volatilityHandbook of Statistics, 14
C. Kenny, Todd Moss (1998)
Stock Markets in Africa: Emerging Lions or White Elephants?World Development, 26
Jushan Bai, Pierre Perron (2003)
Critical Values for Multiple Structural Change TestsEconometrics eJournal
Suzanne Fifield, D. Power, C. Sinclair (2002)
Emerging stock markets: a more realistic assessment of the gains from diversificationApplied Financial Economics, 12
Richard Luger (2003)
Exact non-parametric tests for a random walk with unknown drift under conditional heteroscedasticityJournal of Econometrics, 115
T. Mikosch, Ctlin Stric (2004)
Nonstationarities in Financial Time Series, the Long-Range Dependence, and the IGARCH EffectsReview of Economics and Statistics, 86
Sang-Gyung Jun, A. Marathe, H. Shawky (2003)
Liquidity and stock returns in emerging equity marketsEmerging Markets Review, 4
Farooq Malik, B. Ewing, J. Payne (2005)
Measuring Volatility Persistence in the Presence of Sudden Changes in the Variance of Canadian Stock ReturnsCapital Markets: Market Efficiency
Jun Nagayasu (2003)
The Efficiency of the Japanese Equity MarketInstitutional & Transition Economics eJournal
Gary Lee, R. Engle (1993)
A Permanent and Transitory Component Model of Stock Return Volatility
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
T. Andersen, Tim Bollerslev (1998)
ANSWERING THE SKEPTICS: YES, STANDARD VOLATILITY MODELS DO PROVIDE ACCURATE FORECASTS*International Economic Review, 39
O. Ayadi, C. Pyun (1994)
An application of variance ratio test to the Korean securities marketJournal of Banking and Finance, 18
P. Robinson (1998)
Comment on ''Real and spurious long memory properties of stock market data'' by I.G. Lobato and N.E. Savin
Francis Dieobold (1986)
Modeling The persistence Of Conditional Variances: A CommentEconometric Reviews, 5
M. Chesney, Louis Scott (1989)
Pricing European Currency Options: A Comparison of the Modified Black-Scholes Model and a Random Variance ModelJournal of Financial and Quantitative Analysis, 24
Naser Abumustafa (2008)
Benefiting from diversity in Middle Eastern stock marketsApplied Financial Economics, 18
C. Gouriéroux, J. Jasiak (2001)
Memory and infrequent breaksEconomics Letters, 70
David Lesmond (2005)
Liquidity of emerging marketsJournal of Financial Economics, 77
Jushan Bai, Pierre Perron (1998)
Computation and Analysis of Multiple Structural-Change Models, 18
C. Ntim, K. Opong, J. Danbolt (2007)
An Empirical Re-Examination of the Weak Form Efficient Markets Hypothesis of the Ghana Stock Market Using Variance-Ratios TestsMicroeconomics: General Equilibrium & Disequilibrium Models of Financial Markets eJournal
K. Jefferis, Graham Smith (2005)
THE CHANGING EFFICIENCY OF AFRICAN STOCK MARKETSSouth African Journal of Economics, 73
Tim Bollerslev (1986)
Generalized autoregressive conditional heteroskedasticityJournal of Econometrics, 31
J. Hull, Alan White (1987)
The Pricing of Options on Assets with Stochastic VolatilitiesJournal of Finance, 42
Suzanne Fifield, D. Power, C. Sinclair (2005)
An analysis of trading strategies in eleven European stock marketsThe European Journal of Finance, 11
J. Irving (2005)
Regional Integration of Stock Exchanges in Eastern and Southern Africa: Progress and ProspectsInstitutional & Transition Economics eJournal
J. Skinner (2009)
Small Fish Big PondAngelaki, 14
Purpose – The purpose of this paper is to estimate volatility in African stock markets (ASMs), taking account of periodic level shifts in the mean level of volatility, where the regime shifts are determined endogenously. Design/methodology/approach – Volatility estimates are incorporated into standard volatility models to assess the impact of structural breaks on volatility persistence, long memory and forecasting performance for ASMs. Findings – The results presented here indeed suggest that persistence and long memory in volatility are overestimated when regime shifts are not accounted for. In particular, application of breakpoint tests and a moving average procedure suggest that unconditional volatility displays substantial time variation. Practical implications – A modification of the standard generalised autoregressive conditional heteroscedasticity model to allow for time variation in the unconditional variance generates improved volatility forecasting performance for some African markets. Originality/value – This paper describes one of the first studies to incorporate endogenously determined regime shifts into volatility estimates and assess the impact of structural breaks on volatility persistence, long memory and forecasting performance for ASMs.
Managerial Finance – Emerald Publishing
Published: Feb 22, 2011
Keywords: Africa; Stock markets; Volatility; Variance
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