This paper forecasts the trend of asset based on historical prices. First, through establishment exponential smoothing method, ????????????????????, BP neural network and other models, trader invest in three assets: gold, bitcoin cash USB. The thesis is price to predict assets, determine whether traders should purchase, hold or sell what percentage asset, evaluate its future value. first predic...

This paper studies the exposure of the stock prices of Australian gold-mining firms to changes in gold prices and the valuation effects of gold price exposure. Goldmining firms have significant gold price exposure; the price of the average goldmining stock moves 0.76% for each 1.00% change in Australian-dollar-denominated gold prices. Evidence from the behaviour of stock price sensitivities sug...

the difficulty of determining intrinsic value of stock prices have led many people to use technical analysis in order to forecast stock prices in the future. to predict the stock price we need to determine the generating process of stock prices. in recent years many time - series methods have been used for forecasting purposes. one of these methods is the rescaled range analysis (ris). in the a...

Consensus Economics forecasts for euro-area GDP growth, consumer and producer price inflation and the USD/EUR exchange rate are used by the Czech National Bank to make assumptions about future external economic developments. This paper compares the accuracy of the aforementioned Consensus forecasts to those of the European Commission, International Monetary Fund and Organization for Economic Co...

the successful key of trading in the forex market is the selection of correct exchange in proper time based on an exact prediction of future exchange rate. foreign exchange rates are affected by many correlated economic, political and even psychological factors. therefore, in order to achieve a profitable trade these factors should be considered. the application of intelligent techniques for fo...

This project is focused on the design of price forecasting tools for market operators and for market traders, taking into account the distinct purposes, data availability, and time horizons of the distinct users. Empirical price data from the MISO and RTE have been analyzed. A combined model is developed to forecast MISO day-ahead nodal prices. An ARIMA model is constructed to forecast RTE week...

In this paper, the effects of oil and gold prices on stock market index are investigated. We use a cointegrated vector autoregressive Markov-switching model to examine the nonlinear properties of these three variables during the period of January 2003 - December 2014. The Markov-switching vector-equilibrium-correction model with three regimes representing "deep recession", "mild recession" and ...

General Aviation (GA) demand forecast plays an important role in aviation management, planning and policy making. The objective of this paper is to develop an airport-level GA demand forecast model. The GA demand at an airport is modeled as a function of social-economic and demographic factors, the availability of supply factors, the competition from the commercial aviation, the number of based...

This paper studies the impact of a manufacturer-hired sales agent on a supply chain comprising a manufacturer and a retailer. The sales agent is working mainly at the retailer’s location in order to boost the demand. We focus on a wholesale price contract, under which the retailer decides how much to order from the manufacturer. The information structure within the supply chain and the efficien...

The effective role of capital in every country flows through giving guidelines for capital and resources, generalizing companies and sharing development projects with public, and also adding accredited companies stock market requires appropriate decision making for shareholders and investors who are willing to buy shares based on price mechanism. Forecasting stock price has always been a challe...