Electricity price predictions have become a major discussion on competitive market under deregulated power system. But, the exclusive characteristics of electricity price such as non-linearity, non-stationary and time-varying volatility structure present several challenges for this task. In this paper, a new forecast strategy based on the iterative neural network is proposed for Day-ahead price...

Stock market is affected by news and information. If the stock market is not efficient, the reaction of stock price to news and information will place the stock market in overreaction and under-reaction states. Many models have been already presented by using different tools and techniques to forecast the stock market behavior. In this study, the reaction of stock price in the stock market was ...

The prime objective of the study is to identify the long-run and short-run relationship between Indian stock price viz., BSE SENSEX (hereafter named as BSE) and gold price (GOLD) in India. The daily closing price data were collected for the period of ten years ranging from 1st April 2004 to 31st March 2014 with 2490 observations. The study employed two models: Model one us...

Investors and other contributors to stock exchange need a variety of tools, measures, and information in order to make decisions. One of the most common tools and criteria of decision makers is price-to earnings per share ratio. As a result, investors are in pursuit of ways to have a better assessment and forecast of price and dividends and get the highest returns on their investment. Previous ...

A weighted replicator dynamic describes how agents switch between a forecast based on fundamentals, a rational bubble forecast and a re‡ective forecast, a weighted average of the former two. If the innovations to the extraneous martingale have a similar magnitude to those of the dividend process and agents are su¢ ciently aggressive in switching forecasting strategies, a signi…cant portion of t...

We consider a manufacturer selling to a retailer with private demand forecast information arising dynamically over an infinite time horizon. We show that the manufacturer’s optimal dynamic long-term contract takes a simple form: in the first period, based on her private demand forecast, the retailer selects a wholesale price and pays an associated upfront fee, and, from then on, the two parties...

the prime objective of the study is to identify the long-run and short-run relationship between indian stock price viz., bse sensex (hereafter named as bse) and gold price (gold) in india. the daily closing price data were collected for the period of ten years ranging from 1st april 2004 to 31st march 2014 with 2490 observations. the study employed two models: model one used gold as dependent v...

In current Chinese Security Market, stock or main index running orbit is a complicated phenomenon. In this paper, proposed a method to forecast Shanghai composite index using time series volume, turnover rate, close price, high price, low price, and open price as parameters. In order to simulate Shanghai composite index’s running orbit we improve a new partial differential equations simulation ...

in this paper, we investigate variations of gold coin price and also probe to model the fluctuations and conditional variance of coin market returns. the data consist of daily market prices of gold coin over the 1380 – 1386 period. since volatility clustering is viewed in time series of returns, we employ arch (autoregressive conditional heteroskedasticity) methodology in order to model the var...