Stock price and Foreign Exchange Rate in Malaysian Context

This study investigates the correlation and causality direction between FTSE Bursa Malaysia Kuala Lumpur Composite Index and five foreign exchange rates namely United States Dollar (USD), Great Britain Pounds (GBP), Euro Dollar (EURO), Singapore Dollar (SGD) and Thailand Bhat (THAI) using a standard time series method. Using a monthly data spanning from January 1994 until December 2014. The empirical findings shows that the stock return granger cause the return of exchange rate. Thus, it can be concluded that there is a unidirectional causality between stock market and exchange rate and it is supportive of “portfolio balances” model. This study implied that the stability of the exchange rate is defend on the stability of the stock price, and therefore the policy makers need to observe precisely the movement of stock market and exchange rate

Crude palm oil price forecasting in Malaysia : an econometric approach

This paper aims to forecast the performance of crude palm oil price (CPO) in Malaysia by comparing several econometric forecasting techniques, namely Autoregressive Distributed Lag (ARDL), Autoregressive Integrated Moving Average (ARIMA) and Autoregressive Integrated Moving Average with exogenous inputs (ARIMAX). Using monthly time series data spanning from 2008 to 2017, the main results revealed that ARIMAX model is the most accurate and the most efficient model as compared to ARDL and ARIMA in forecasting the crude palm oil price. The results also show that the spot price of palm oil is highly influenced by stock of palm oil, crude petroleum oil price and soybean oil price. The empirical findings provide some insights for decision making and policy implementations, including the formulation of strategies to help the industry in dealing with the price changes and thus enable the Malaysian palm oil industry to continue dominating the international market

Reassessing Malaysian Poverty Measurement after COVID-19: A Multidimensional Perspective

Poverty is a multifaceted phenomenon that has always existed historically. In addition to discussions of poverty issues, aspects of poverty measurement are essential topics. A prominent poverty measurement system is the unidimensional measurement based on poverty line income (PLI). Therefore, the use of multidimensional poverty measurements is proposed, specifically the multidimensional poverty index (MPI), in assessing poverty, including non-monetary aspects. This study discusses the concept of unidimensional and multidimensional poverty measurement and the implementation of these concepts in Malaysia during the COVID-19 outbreak. Furthermore, it aims to contribute to the public debate on COVID-19 policy responses by quantifying the potential impact on global multidimensional poverty using the Global Multidimensional Poverty Index (MPI), which captures concurrent or overlapping deprivation at the household level. This study recommends policies by which members of the community and industry experts would be included in the poverty reduction program, in line with Maslow’s requirements. Overall, this research focuses on planning and orienting policy responses from a multidimensional perspective that integrates health, social and economic goals