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Using the nearest neighbor truncation (NNT) approach, this study investigates the realized volatility transmission between the Malaysian Islamic market with various global sectoral Islamic stock markets by extending the heterogeneous autoregressive (HAR) with GARCH, asymmetric effects and jump-robust volatility estimator established in a multivariate setting. The multivariate HAR-GARCH model is capable to capture the persistence and time-varying volatility of realized volatility while NNT approach allows for an asymptotic limit theory in the presence of jumps. Using intraday data, the findings suggest the daily realized volatilities of the Islamic equities rely significantly on their own short-, mid- and long-term volatility components. Besides, there is an evidence of volatility spillover in majority of the pairwise but with low magnitude. The findings also confirm the vital role of conditional heteroscedasticity in the volatility series in explaining the measured volatility transmission of the Islamic stock indices. Hence, this study provides useful insight to understand the portfolio risk of Shariah-compliant equities in making better-informed portfolio allocation.

Integrating the natural resource-based view theory, contingency theory and paradox theory, the current study investigates the impact of the green smart technologies adoption (GSTA) and green ambidextrous leadership (GAL) on green innovation performance (GIP), along with the mediating role of Green Innovation Behaviour (GIB). The research design for this study consists of a quantitative method, a positivism paradigm, a cross-sectional time horizon and a structured questionnaire survey. A total of 313 responses from Malaysian manufacturing firms were analysed using partial least squares-structural equation modelling (PLS-SEM). The findings reveal that GSTA, GAL and GIB positively impact GIP. Moreover, GIB mediates the association between GSTA and GIP, but there is no mediation observed in the GAL–GIP association. The results of this study provide valuable insights for policymakers, management and relevant stakeholders in developing countries on how to strike the right balance of exploitation and exploration leadership in uncertain and volatile market settings, while fostering GSTA and GIP. The adoption of GSTA and GAL improves manufacturing companies’ sustainability. Furthermore, these findings contribute to the Malaysian government’s commitment to the Nationally Determined Contribution towards the Paris Agreement, the Shared Prosperity 2030 vision and the proposed 15 key economic growth activities.

This study estimates if Malaysian finance professionals' investment characteristics and stock characteristics' preferences affect their portfolio diversification, and whether the effects of these predictors vary across professionals' gender, income and experience. Employing a survey and ordinal regression models, the findings demonstrate that investment characteristics such as active trading, usage of internet and telephone, and saving for retirement objective are likely to improve diversification, whereas diversification worsens with the spending less time on researching investment. With respect to stock's characteristics, trading volume and return on asset are related to better diversification, whereas profit margin and return on equity are related to least diversification. The predictors are found to vary across professionals' gender, income and experience. The results suggest that finance professionals need to consider spending more time on researching investment and stock's characteristics in portfolio composition.

Without an efficient financial risk management, it may cause massive consequences to a financial institution as well as individual. Therefore, developing a methodology which gives precise estimates to reduce the exposure of risk to a minimum is of great importance. This paper uses an asymmetric BEKK-GARCH model to examine the return and volatility linkages between the FTSE Bursa Malaysia Emas Shariah(FBMS) index and the sectoral indices under a normal market. The findings suggest that the FBMS plays a leading role in the mean return spillover effect. There is a strong evidence of significant transmission of past shocks, volatilities and leverage effects are observed on the current conditional variance-covariance in all the pair-wise models. These empirical results are helpful in quantifying the cross-market risk evaluation, risk minimizing weight and cross-market hedge ratio for strategizing appropriate portfolio selection.

Knowledge sharing can enhance learning and help to build the knowledge workforce. This paper reports on a study of knowledge sharing behaviour among undergraduate students in Malaysia. Knowledge sharing was found to be influenced by the mechanisms used, various barriers to communication and the motivations behind knowledge sharing. The mechanisms include online communication, social interaction, off-campus activities and learning activities. It was found that problems with information and communications technology (ICT), lack of self confidence, external constraints, self-centredness and social attributes can create barriers to knowledge exchange. It is concluded that the motivation to share knowledge appears to be affected by relationships, rewards and the level of satisfaction with knowledge sharing activities.

Knowledge sharing can enhance learning and help to build the knowledge workforce. This paper reports on a study of knowledge sharing behaviour among undergraduate students in Malaysia. Knowledge sharing was found to be influenced by the mechanisms used, various barriers to communication and the motivations behind knowledge sharing. The mechanisms include online communication, social interaction, offcampus activities and learning activities. It was found that problems with information and communications technology (ICT), lack of self confidence, external constraints, self-centredness and social attributes can create barriers to knowledge exchange. It is concluded that the motivation to share knowledge appears to be affected by relationships, rewards and the level of satisfaction with knowledge sharing activities.