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Simplified search suggestions : Asmawi Hashim

Analisis perbelanjaan asas bulanan penjawat awam di Daerah Larut Matang dan Selama, Negeri Perak

Abdul Karim Noor Al-Huda, Rambeli@Ramli Norimah, Hashim Asmawi, Hashim Emilda, Mohd Kornin Nur Hayati,

Article Published 2017 3612 hits Available

Empirical analysis on exchange rate fluctuation and sectoral stock returns in Malaysia

Rambeli @ Ramli Norimah, Hashim Emilda, Hashim Asmawi, Awang Marikan Dayang Affizzah, Podivinsky Jan M.,

Article Published 2017 3829 hits Available

Does export led growth hypothesis hold under world crisis recovery regime in Malaysia?

Asmawi Hashim

Abstract

This paper examines empirically the nature of the impact of the exchange rate on import, export and economic growth in Malaysia from 2009 until 2018. The objective of this study is to investigate the long-term and short-term relationship between endogenous and exogenous variables and also to identify the effects of exchange rates on dependent variables including imports, exports and the Gross Domestic Product (DGP) that represent the productivity of the country. This study further focuses on investigating the impact or the role of export in drive the county economic growth. In achieving these objectives, the Augmented Dickey-Fuller (ADF) testing procedure is used to test the presence of unit root. In order to investigate the incidence of long run relationship between the data series, the Johansen Juselius Cointegration Vector is utilized. The Granger Causality in Vector Error Correction Model (VECM) framework is employed to differentiate between short run and long run causal effects in.....

Article Published 2019 1401 hits Available

Career Insights & Guidance / May 26, 2026

Asmawi Hashim

Bulletin Published 2026 1 hits Available

The dynamic relationship between unemployment, inflation, interest rate and economic growth

Asmawi Hashim

Abstract

The focal point of this study is the investigation of the dynamic relationship between selected macroeconomic variables, including unemployment, inflation, interest rate and economic growth, in Malaysia. In order to achieve the aims of thisstudy, quarterly time series data from the first quarter of 2001 until the fourth quarter of 2017 was utilised. The Johansen Juselius Co-integration test was used to investigate long run equilibrium in the equation system, and the Granger Causality test in Vector Error Correction framework was used to evaluate the long-term and short-term relationships between the study variables. The findings suggest that a relationship exists between the variables in the long term, including unemployment interest rate, inflation and economic growth across the system equations. The results further suggest that, in the short run, a two-way causality exists between unemployment and economic growth. Moreover, the results show that unemployment affects economic growth, .....

Article Published 2019 1476 hits Available

Impact of budget deficit formation on economics growth in Malaysia

Asmawi Hashim

Abstract

The relationship between budget deficit and economic growth is one of the most important issues debated by economists and policymakers in developed and developing countries. The purpose of this study is to examine the relationship by concentrating on theoretical debates, empirical studies and econometric models to obtain substantive conclusions. These conclusions are beneficial in the field of macroeconomics. Construction or development of macroeconomic models is used to analyze the impact of budget deficit on Malaysia’s economic growth. The effects of the budget deficit formation would lead to the formation of other macroeconomic variables, such as debt, rising interest rates and decreasing government spending, productive or non- productive. This study was conducted using time series data collected from 1985 to 2018 to fulfil three specific object.....

Thesis Published 2021 1875 hits Available

Predicting automobile insurance fraud using classical and machine learning models

Asmawi Haji Hashim

Abstract

Insurance fraud claims have become a major problem in the insurance industry. Several investigations have been carried out to eliminate negative impacts on the insurance industry as this immoral act has caused the loss of billions of dollars. In this paper, a comparative study was carried out to assess the performance of various classification models, namely logistic regression, neural network (NN), support vector machine (SVM), tree augmented naïve Bayes (NB), decision tree (DT), random forest (RF) and AdaBoost with different model settings for predicting automobile insurance fraud claims. Results reveal that the tree augmented NB outperformed other models based on several performance metrics with accuracy (79.35%), sensitivity (44.70%), misclassification rate (20.65%), area under curve (0.81) and Gini (0.62). In addition, the result shows that the AdaBoost algorithm can improve the classification performance of the decision tree. These findings are useful for insurance professionals.....

Article Published 2024 1032 hits Available

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