This paper examines for the first time the existence of psychological barriers in a variety of daily and intra-day gold price series. This paper uses a number of statistical procedures and presents evidence of psychological barriers in gold prices. We document that prices in round numbers act as barriers with important effects on the conditional mean and variance of the gold price series around...

Price prediction of goods is a vital point research due to how common e-commerce platforms are. There are several efforts conducted forecast the price items using classic machine learning algorithms and statistical models. These models can predict prices various financial instruments, e.g., gold, oil, cryptocurrencies, stocks, second-hand items. Despite these efforts, literature has no model fo...

Electricity price forecasting is becoming more important in everyday business of power utilities. Good forecasting models can increase effectiveness of producers and buyers playing roles in electricity market. Price is also a very important element in investment planning process. This paper presents a forecasting technique to model day-ahead spot price using well known ARIMA model to analyze an...

This paper examines the forward pricing efficiency of the local crude palm oil (CPO) futures market. In an efficient market, the relevant signal to be used by -the producers, traders and processors is simply the futures price. The forward pricing efficiency is measured in terms of the forecasting ability of Malaysian crude palm oil futures price on physical price. The relative predictive power ...