This study investigates diversification potential in the Malaysian and United States (US) Islamic stock indices, Bitcoin, gold, and crude oil prices, particularly amidst economic crises. It uses wavelet coherence and MGARCH-DCC on a dataset spanning 2014 to 2022. The findings revealed that there are diversification potentials for investors. The dynamicContinue Reading

This paper aims to compare the empirical performance of two approaches in detecting structural breaks and outliers due to the significant frequent price changes seen in cryptocurrencies. The two approaches are indicator saturation (IS) and Bai and Perron (BP). The cryptocurrency data employed in this study are Bitcoin and Ethereum.Continue Reading

The proposed alternative p-value method can be used in finding the best performing models. The rank of the p-values namely t-test and z-test statistics can overcome the constraint imposed when using the Mean Absolute Percentage Error as the measurement error. It is crucial to select the right model in theContinue Reading

The impact of Covid-19 has triggered the current global economic downturn affecting all aspects of the economy including the Islamic stock index. This study aims to determine the model for forecasting the index. The Islamic stock index is used in six countries through adopting the Autoregressive Conditional Heteroscedasticity – GeneralizedContinue Reading