Background: Commodity markets are rapidly changing across the globe due to technological and financial innovations. The introduction of commodity exchanges futures trading has significantly affected their price discovery with ramifications for users traders. mechanism in is dynamic needs regular reassessment.

Gold is often used by investors as a hedge against inflation or adverse economic times. Consequently, it important for to have accurate forecasts of gold prices. This paper uses several machine learning tree-based classifiers (bagging, stochastic gradient boosting, random forests) predict the price direction and silver exchange traded funds. Decision tree bagging, forests predictions are much m...

This paper initiates a study of connections between local and global properties of graphical games. Specifically, we introduce a concept of local price of anarchy that quantifies how well subsets of agents respond to their environments. We then show several methods of bounding the global price of anarchy of a game in terms of the local price of anarchy. All our bounds are essentially tight.

Gold is a precious metal often used for investment, due to its cash-in ease and yearly value increase. This indicates that price forecasting determine the prospect of future gold prices. Strong highly desired by investors make decisions. That why technical indicators are very important forecasting. By using information obtained can be more informative than pure One commonly methods Backpropagat...

This paper explores the effectiveness of gold as a hedging and safe haven instrument for variety market risks. Rather than confining analysis to specific countries, we treat global asset apply novel Phillips, Shi Yu (2015a) (2015b) methodology identify extreme price movements. method accounts both level speed changes in dynamics that better characterises periods abnormally high We uncover prope...