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Investment decision is difficult to be determined as the investors need to earn highest possible return in generating profit and protecting capital. Mathematical model which can provide the ranking and proportion of the investment alternatives will benefit investors as selection guideline. This paper aims to investigate in ranking and allocating proportion of asset funds using fuzzy preference relation and weighting algorithm. The evaluation of asset fund is expressed in trapezoidal fuzzy number. The data used for this study is 30 asset funds that listed in the Bursa Malaysia. This study found that 14 asset funds are suggested based on ranking and proportion allocation obtained from this model. As a conclusion, this study can assist investors in making decision in terms of ranking and allocating asset funds. [ABSTRACT FROM AUTHOR]

This paper examines the effects of COVID-19 on the capital structure of publicly listed firms in Malaysia. Using panel data regressions and total debt as proxy for capital structure, we study the relation between the leverage and asset tangibility, firm size, market to book value, liquidity, profitability, growth opportunity together with crisis dummies where it is built based on a sample of 478 firms listed on Bursa Malaysia within industrial products & services, consumer products & services, property, construction, energy, health care, plantation, technology, telecommunications & media, and transportation & logistics industries before and during COVID-19 pandemic for the period of 2016-2020. [ABSTRACT FROM AUTHOR]

Measuring company performance-based financial ratios is common among decision makers such as business analysts, shareholders, creditors, prospective investors and financial managers. Ratio analysis is a powerful tool to enable stakeholders to analyze the health of companies' financial status. Financial ratios provide comparative financial status among companies within an industry or within a company itself. The decision maker can use ratios to identify internal strengths and weaknesses, and estimate future financial performance to compare companies in order to make a decision. Using econometric technique, this study employed the production function of the frontier to determine the performance and to analyse the productivity of companies. The purpose of this paper is to evaluate and measure the performance of 115 samples oflisted companies in Bursa Malaysia which will be discussed in terms of mathematical analysis. The Cobb-Douglas function was estimated using Maximum Likelihood to determine the values of parameters in the model. This study will utilize input of debt-equity ratio and asset turnover to maximize the output, return on equity ratio. This paper will mainly contribute in showing how the selection output based on DuPont theory was selected where the highest return on stockholders' investment is set as main objective and estimating the technical efficiency of companies using financial ratio. [ABSTRACT FROM AUTHOR]