Analysing robust macroeconomics factors that influence the gold price changes using fuzzy logic / Siti Khatijah Ramli

Ramli, Siti Khatijah (2021) Analysing robust macroeconomics factors that influence the gold price changes using fuzzy logic / Siti Khatijah Ramli. Degree thesis, Universiti Teknologi Mara Perlis.

Abstract

Gold is a valuable value that can help to stabilize the currency in the country. However, there are a few factors that can shift the Gold price. From the previous researcher, they had identified that macroeconomics had influenced the gold price changes. The objective of this study is to identify the primary macroeconomics factors that impact gold price changes. The macroeconomics factors involve the Inflation Rate, Gross Domestic Product, Exchange Rate, and Crude Oil Price. The method that had been applied in this study is Fuzzy logic. For this method, three gold experts were chosen to complete the inference system rules to complete the inference system in Fuzzy Logic. The inputs are microeconomic factors, and the output is Gold Price. The highest output had been chosen to identify which factors that involve in the gold price change. From this finding from three experts, the result exposed that the exchange rate and crude oil are the strongest macroeconomics factors.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Ramli, Siti Khatijah
UNSPECIFIED
Subjects: H Social Sciences > HG Finance > Money > Precious metals. Bullion
Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Programme: Management Mathematics
Keywords: Gold Price ; Inflation Rate ; Gross Domestic Product ; Exchange Rate and Crude Oil Price ; Fuzzy Logic
Date: 13 August 2021
URI: https://ir.uitm.edu.my/id/eprint/49566
Edit Item
Edit Item

Download

[thumbnail of 49566.pdf] Text
49566.pdf

Download (552kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

49566

Indexing

Statistic

Statistic details