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Quasi-maximum likelihood estimation for long memory stock transaction data - under conditional heteroskedasticity framework

Quoreshi, A. M. M. Shahiduzzaman; Uddin, Reaz; Khan, … - In: Journal of risk and financial management : JRFM 12 (2019) 2/74, pp. 1-13

distribution. The moments with conditional heteroscedasticity have been discussed. In a Monte Carlo experiment, it was found that …

Persistent link: https://www.econbiz.de/10012022130

A Statistical Comparison of the CAPM to the Fama-French Three Factor Model and the Carhart's Model

Bello, Zakri Y. - 2010

The goal of this study is to compare the CAPM to the Fama-French (FF) Three Factor Model and to Carhart‟s extension of the FF Model with regard to (1) statistical goodness of fit, and (2) the quality of prediction. My sample consists of actively managed domestic equity mutual funds and the...

Persistent link: https://www.econbiz.de/10013149044

Analysis of sectors on Nigeria stock market : evidence from correlation, serial correlation, and heteroscedasticity

Emenike, Kalu O. - In: Journal of contemporary economic and business issues 4 (2017) 2, pp. 21-36

, the paper analyzes the returns correlation, serial correlation and heteroscedasticity on the NSE All-share Index, Banking … conditional heteroscedasticity Lagrange multiplier (ARCHLM) techniques in conducting the empirical analysis. Descriptive …, estimates from the ARCHLM model provide evidence of heteroscedasticity in most of the sectors’ returns. Overall results from the …

Persistent link: https://www.econbiz.de/10011862130

Beta and size revisited : evidence from the French stock market

Xiao, Bing - In: International journal of financial research 7 (2016) 5, pp. 42-50

Persistent link: https://www.econbiz.de/10011579740

Forecasting the volatilities of the Nigeria stock market prices

Ibrahim, Sikiru O. - In: CBN journal of applied statistics 8 (2017) 2, pp. 23-45

The objective of this work is to assess and forecast the volatilities of prices on the Nigeria Stock Exchange. The ARCH family (ARCH, GARCH, TGARCH, EGARCH and PGARCH) and ARIMA models are used to assess and forecast volatilities in prices on the Nigeria stock market. The EGARCH model is found...

Persistent link: https://www.econbiz.de/10011843540