This study investigates the impact between export, import, and population on economic growth in Malaysia. This study examines the economic growth of Malaysia from 1960 to 2021 with a total of 62 observations. Exports (EX), imports (IM), and population (POP) are the independent variables used to determine economic growth. As the dependent variable, a proxy for Gross Domestic Product (GDP) growth represents economic growth. Using Eviews 12, descriptive, correlation, and multiple regression analyses were conducted on the data. The main finding indicates that population and imports positively affect Malaysia's economic growth. As a result, exports negatively impacted Malaysia's economic growth. This study is significant because it contributes new knowledge that population, not imports or exports, has had the most significant impact on Malaysia's economic growth over the past 62 years. This study recommends that future research investigate the population, policies and environmental factors that influence economic growth and expand the sample size.

A formal legal statement that one cannot fully repay all of one's debts is required to declare bankruptcy. Since 2000, the number of personal bankruptcies that occur annually in Malaysia has been greater than 10,000. The COVID-19 outbreak that began in early 2020 had a significant negative impact on the economy and the healthcare system as if things were not already terrible enough. As a result, the primary objective of this study was to investigate the statistics covering the period from 1990 to 2020 to determine the factors that lead to personal bankruptcies in Malaysia. In addition, it examined whether or not there was a connection between individual bankruptcies in Malaysia and the country's lending rate, the percentage of loans that were considered to be non-performing, and the unemployment rate. A multivariate regression model was utilized to determine the significance of the relationship between the dependent and independent variables. It was discovered that individual bankruptcies had a significant and inversely proportional relationship with credit and unemployment rates. On the other hand, there was a significant connection between personal bankruptcies and the presence of non-performing loans. Future researchers are strongly encouraged to gather data daily, quarterly, or monthly, incorporate more independent factors in the drivers of personal bankruptcy, and expand their investigations to other countries to obtain more accurate and credible conclusions.

This study aimed to explore the relationship between macroeconomic variables and Malaysia's stock market index which is the FTSE Bursa Malaysia KLCI (KLCI) during pandemic happens in the world. The selected macroeconomic variables were the gross domestic product, inflation rate, exchange rate, interest rate and industrial production index were taken as independent variables as well as the period of the pandemic as a dummy variable while the stock market's KLCI was the dependent variable. To capture the maximum variation in the stock market, a time series analysis was done on monthly data from the year 2002 to 2020. The pandemic events which could affect Malaysia's stock market were Severe Acute Respiratory Syndrome (SARS), Swine Flu (H1N1), Middle East Respiratory Syndrome (MERS) and Coronavirus Disease 2019 . Multiple Linear Regression analysis was used to explore the statistical relationship and evaluate the hypothesis in this paper. The result showed a statistically significant positive relationship between gross domestic product and industrial production and a statistically significant negative relationship for the exchange rate. However, for inflation, interest rate and the dummy for a pandemic is statistically insignificant.

The main goal of this study is to identify the factors that influence the profitability of commercial banks in Malaysia by examining recent data from 2010 to 2020. To achieve this objective, the study uses Return on Assets (ROA) as a measure to assess the relationship between capital adequacy, credit risk, management efficiency, and liquidity risk. The research collects data on ROA, capital adequacy, credit risk, management efficiency, and liquidity risk from Bursa Malaysia and company websites. Additionally, secondary data sources are utilized to gather information and provide evidence for the analysis. The aim of the investigation is to assess whether the determinants of commercial bank profitability in Malaysia are capital adequacy, credit risk, management efficiency, and liquidity risk. Multiple Linear Regression is employed to examine the factual relationship and evaluate the hypotheses, and the software used to analyze the results is E-views 2012.

This study's objective is to assess the return on assets (ROA) performance of all fifteen (15) Islamic banks in Malaysia that are eligible to use panel-specific data between the years 2011 and 2020. A data assessment methodology and all relevant additional resources, such as Eikon Thomson Reuters and the bank's annual reports, have been utilized for this study. When regressing the balanced panel data, the Pooled Ordinary Least Squares (POLS) Model employs the EViews 12 software to analyze. According to the conclusions of this research, there is a significant relationship between the performance of Islamic banks in Malaysia from 2011 to 2020 and the ratio of net loans to total assets (NLTA), shareholders' equity ratio (SER), bank size (LNBS), and gross domestic product (GDP). Since the banking sector is a significant contributor to the national economy, effective bank management is essential to ensure that the Islamic bank is always profitable by minimizing risk and losses caused by internal and external factors. In addition, most prior research has focused on conventional rather than Islamic banks, necessitating this investigation into the factors that affect the profitability of Islamic banks in Malaysia.