Forecasting energy price and consumption is essential in making effective managerial decisions and plans. While there are many sophisticated mathematical methods developed so far to forecast, some nature-based intelligent algorithms with desired characteristics have been developed recently. The main objective of this research is short term forecasting of energy price and consumption in Iranian ...

We present strong evidence that high differences of opinion stocks earn lower returns around earnings announcements. The evidence is similar across six different proxies for differences of opinion (earnings volatility, return volatility, dispersion of analysts’ earnings forecasts, number of analysts, firm age, and share turnover). The three-day hedge returns (returns on low minus high differenc...

Accurate electricity price forecasting plays an important role in the profits of electricity market participants and the healthy development of electricity market. However, the electricity price time series hold the characteristics of volatility and randomness, which make it quite hard to forecast electricity price accurately. In this paper, a novel hybrid model for electricity price forecastin...

Article history: Received 30 August 2009 Accepted 15 May 2010 Available online 1 July 2010 In this paper, we examine the pattern of historical evolution of international earnings-to-price ratios for a sample of 17 developed markets over the period 1980–2008. Using a measure of distance between earnings-to-price ratios of international stock markets, we find that earnings-to-price ratios of 17 m...

Accurate forecasting tools are essential in the operation of electric power systems, especially in deregulated electricity markets. Electricity price forecasting is necessary for all market participants to optimize their portfolios. In this paper we propose a hybrid method approach for short-term hourly electricity price forecasting. The paper combines statistical techniques for pre-processing ...

This study examines the role of pre-IPO discretionary accruals in the valuation and underpricing of IPOs. We find that IPO offer price is unaffected whereas market closing price is positively associated with the levels of pre-IPO discretionary accruals for issuers with aggressively reported earnings. We also find that this relative over-valuation of managed earnings by the markets explains a po...

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...

Improving return forecasting is very important for both investors and researchers in financial markets. In this study we try to aim this object by two new methods. First, instead of using traditional variable, gold prices have been used as predictor and compare the results with Goyal's variables. Second, unlike previous researches new machine learning algorithm called Deep learning (DP) has bee...