The present study investigates the cointegration relationships among crude oil price, domestic gold price and selected financial variables (exchange rates and stock price indices) in India. Increasing crude oil prices will increase the production costs which will affect cash flow and will decrease stock prices. Investors are showing fewer concerns in the stock markets and investing in yellow me...

This study uses research variables such as Trading Volume, Market Capitalization, S&P 500 Index, World Oil Price, Gold Price on Bitcoin Returns. The data source in this is through internet media with the sites https://coinmarketcap.com/, https://finance.yahoo.com/, and other that support research. used are time series, target population for sample 1,096 (3 years x 365) daily report data. we...

We examine the predictive value of gold-to-silver and gold-to-platinum price ratios, as proxies for global risks affecting realized variance (RV) oil-price movements, using monthly data over longest available periods 1915:01–2021:03 1968:01–2021:03, respectively. Using two we find statistically significant evidence in-sample predictability increases in RV both ratios. This finding also translat...

This paper examines the weak-form efficiency of the global gold markets with specific focus on the random walks (RWS) and martingale difference sequence (MDS) hypotheses, and consequently, investigates the extent to which predictability or non-predictability of global daily spot gold price return series behaviour can be explained by volatilities in macroeconomic fundamentals. We apply tradition...

Proper models for prediction of time series data can be an advantage in making important decisions. In this study, we tried with the comparison between one of the most useful classic models of economic evaluation, auto-regressive integrated moving average model and one of the most useful artificial intelligence models, adaptive neuro-fuzzy inference system (ANFIS), investigate modeling procedur...

For the last few years, gold salts have been used extensively for the treatment of pulmonary tuberculosis, but their high price has placed them well beyond the means of the average patient. It is a common experience to find poor patients exhausting their resources on a few tentative doses of gold preparation, much too small to produce any tangible result, and then giving up treatment in despair...

In estimating the cost-effectiveness of diagnostic procedures, it is helpful to treat diagnostic information as a commodity with a unit price. The amount of useful information provided by a test result can be measured in binary units (bits), and the unit price of the information produced by the test result can be expressed in dollars per bit in much the same way that the price of gold is given ...

This work examines recent publications in forecasting in various fields, these include: wind power forecasting; electricity load forecasting; crude oil price forecasting; gold price forecasting energy price forecasting etc. In this review, categorization of the processes involve in forecasting are divided into four major steps namely: input features selection; data pre-processing; forecast mode...