Data Science Insights
Vol. 1 No. 1 (2023): Journal of Data Science Insights

Forecasting the Southeast Asian Currencies against the British Pound Sterling Using Probability Distributions

Suleiman, Ahmad Abubakar (Unknown)
Daud, Hanita (Unknown)
Othman, Mahmod (Unknown)
Husin, Abdullah (Unknown)
Ishaq, Aliyu Ismail (Unknown)
Sokkalingam, Rajalingam (Unknown)
Abdullah, Mohd. Lazim (Unknown)
Khan, Iliyas Karim (Unknown)

Article Info

Publish Date
19 Dec 2023

Abstract

The current study aimed to identify the most suitable probability distribution function (pdf) for modeling the exchange rates of three countries. Financial data is essential to many people and to the management of a country. Volatility in financial data influences individual and the country's economic growth. This volatility in the exchange rates between the Malaysian Ringgit (MYR), Singapore Dollar (SGD), and Thailand Thai Baht (THB) against British Pound Sterling (GBP) is found to be very high which make it difficult to model and forecast. This is what has necessitated the development of an accurate and reliable approach for assessing and reducing the risks of trading in any of these currencies.

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Journal Info
Data Science Insights
Website

Abbrev

jdsi

Publisher

PT Visi Media Network

Subject

Computer Science & IT Engineering

Description

Data Science Insights, with ISSN 3031-1268 (Online) published by PT Visi Media Network is a journal that publishes Focus & Scope research articles, which include Data Science and Machine Learning; Data Science and AI; Blockchain and Advance Data Science; Cloud computing and Big Data; Business ...