The impact of macroeconomics factor towards non-performing loans of Malaysia conventional banks / Mohd Shafiq Jamaludin

Jamaludin, Mohd Shafiq (2017) The impact of macroeconomics factor towards non-performing loans of Malaysia conventional banks / Mohd Shafiq Jamaludin. [Student Project] (Unpublished)

Abstract

This research paper holds a purpose to identify the impact of each
macroeconomic factor that could affect non-performing loan. Inflation rate,
unemployment rate, exchange rate and lending interest rate are the factor that has
been chosen as the variables of this research. The data was collected on yearly
basis and the period begins from year 2001, while ends at year 2016. The total
sample size is 1065. Ordinary Least Square regression method is practiced to
evaluate the regression. STATA12 programs were used to do the econometrics.
There are few solutions adopted to solve the problems encountered during the
research. The results turned out to be convincing and problems are being solved.
The final results obtained from every tests in this paper matches with the findings

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Jamaludin, Mohd Shafiq
UNSPECIFIED
Subjects: H Social Sciences > HB Economic Theory. Demography > Macroeconomics
H Social Sciences > HG Finance > Interest rates
H Social Sciences > HG Finance > Money > Money and prices. Inflation. Deflation. Purchasing power
H Social Sciences > HG Finance > International finance > Foreign exchange. Foreign exchange rates
Divisions: Universiti Teknologi MARA, Sabah > Kota Kinabalu Campus > Faculty of Business and Management
Programme: Bachelor of Business Administration (Hons) Finance
Keywords: Macroeconomic factor; Inflation rate; Unemployment rate; Exchange rate; Conventional bank
Date: July 2017
URI: https://ir.uitm.edu.my/id/eprint/50120
Edit Item
Edit Item

Download

[thumbnail of 50120.pdf] Text
50120.pdf

Download (296kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

50120

Indexing

Statistic

Statistic details