Time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. Auto-Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial market forecasting over the past three decades but not very often used to forecast gold prices. This paper attempts to address the forecasting of gold bullion coin selling prices. The forecasting models ARIMAs are applied to forecast the gold bullion coin prices. The result suggests that ARIMA (2, 1, 2) is the most suitable model to be used for forecasting gold bullion coin prices. Closer examination suggests that the gold bullion coin selling prices are in upward trends and could be conside...
Gold is known as the most valuable commodity in the world because it is a universal currency recogni...
Commodities prices are pivotal to the mineral investment decision and have a considerable impact on ...
This article seeks to evaluate the appropriateness of a variety of existing forecasting techniques (...
The paper is dealing with the analysis of the gold price in Vietnam. In line with the outbreak of th...
Developing an accurate model of gold price is crucial as gold price have a great effect on the inves...
Gold is a multifunctional precious metal. Apart from being jewelry, gold is a form of investment. Fo...
Gold is one type of investment that is starting to be favored by many people. Every investment has r...
Gold is a multifunctional precious metal. Apart from being jewelry, gold is a form of investment. Fo...
Gold has been the most popular commodity as a healthy return investment due to its unique properties...
Time series analysis has become an invaluable tool in the realm of financial markets, particularly w...
The main objective of this study is to predict monthly price of gold. The monthly sample data of gol...
Gold investment is currently a trend in society, especially the millennial generation. Gold investme...
Abstract-Forecasting of silver price in this volatile market, more so in the recent economic scenari...
This study compares the accuracy of different forecasting techniques for gold and silver returns in ...
The diploma thesis deals with econometric modelling and gold price forecast. A key factor is the mul...
Gold is known as the most valuable commodity in the world because it is a universal currency recogni...
Commodities prices are pivotal to the mineral investment decision and have a considerable impact on ...
This article seeks to evaluate the appropriateness of a variety of existing forecasting techniques (...
The paper is dealing with the analysis of the gold price in Vietnam. In line with the outbreak of th...
Developing an accurate model of gold price is crucial as gold price have a great effect on the inves...
Gold is a multifunctional precious metal. Apart from being jewelry, gold is a form of investment. Fo...
Gold is one type of investment that is starting to be favored by many people. Every investment has r...
Gold is a multifunctional precious metal. Apart from being jewelry, gold is a form of investment. Fo...
Gold has been the most popular commodity as a healthy return investment due to its unique properties...
Time series analysis has become an invaluable tool in the realm of financial markets, particularly w...
The main objective of this study is to predict monthly price of gold. The monthly sample data of gol...
Gold investment is currently a trend in society, especially the millennial generation. Gold investme...
Abstract-Forecasting of silver price in this volatile market, more so in the recent economic scenari...
This study compares the accuracy of different forecasting techniques for gold and silver returns in ...
The diploma thesis deals with econometric modelling and gold price forecast. A key factor is the mul...
Gold is known as the most valuable commodity in the world because it is a universal currency recogni...
Commodities prices are pivotal to the mineral investment decision and have a considerable impact on ...
This article seeks to evaluate the appropriateness of a variety of existing forecasting techniques (...