DR. MOHD AZMI BIN HARON
Institute of Mathematical Sciences
Faculty of Science
azmiharonum.edu.my| View CV | |
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| Biography | |
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Dr Mohd Azmi bin Haron, is a Senior Lecturer at Institute of Mathematical Sciences, Faculty of Science, University of Malaya (UM). He received his PhD Finance from Universiti Putra Malaysia (UPM). He has more than twenty years lecturing and teaching experiences at degree and master level and supervised postgraduate MSc and PhD in his specialized area in financial mathematics, economics and actuarial sciences. In addition he has vast industrial working experiences in Banking, Insurance and Multi National Corporations (MNC's). His primary area of research interest include financial risk, economics and actuarial sciences. His current research interests include financial mathematics, econometrics and actuarial modelling. He is a member of Malaysia Mathematics Society, Spanish Association of International Economics and Finance (AEEFI), Malaysia Finance Association (MFA) and Malaysia Insurance Institute (MII).
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Publication
Finance
| Project Title | Progress | Status |
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| Modelling Inequality Of Income Class In Malaysia For Equitable Income Growth Using New Pareto Distribution |
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on going |
| Modeling The Income Of The Upper Class Group In Malaysia Using New Pareto Distribution |
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| Measurement And Modeling Of Moral Hazard On Equity Contracts In Investment Financing |
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| This information is generated from Research Grant Management System | ||
Examining Tail Index Estimators in New Pareto Distribution: Monte Carlo Simulations and Income Data Applications
The Impact of Air Pollution Risk on the Sustainability of Crop Insurance Losses
Projection of Older Population in Malaysia by Physical Disability Status
Measuring the Inequality of Malaysian Top Incomes Using a New Pareto-Type Distribution in Rural and Urban Regions
Measurement of Credit Risk for Banking System Using Geometric Models
Universitas Sriwijaya, Palembang, Indonesia.
A New Dynamic Geometric Integration of Credit and Operational Risk in Banach Space
On the Measurement of Operational Risk: A New Dynamic Geometric Approach