The Agricultural sector needs more support for its development in developing countries like India. Price prediction helps the farmers and also the Government to make effective decision. Based on the complexity of vegetable price prediction, making use of the classification technique like neural networks such as self build up the model of Back-propagation neural network (BPNN) to predict vegetab...

Gold price forecasting has been a hot issue in economics recently. In this work, wavelet neural network (WNN) combined with a novel artificial bee colony (ABC) algorithm is proposed for this gold price forecasting issue. In this improved algorithm, the conventional roulette selection strategy is discarded. Besides, the convergence statuses in a previous cycle of iteration are fully utilized as ...

in general, energy prices, such as those of crude oil, are affected by deterministic events such as seasonal changes as well as non-deterministic events such as geopolitical events. it is the non-deterministic events which cause the prices to vary randomly and makes price prediction a difficult task. one could argue that these random changes act like noise which effects the deterministic variat...

The objective of this study was to model seasonal behavior of broiler price in Iran that can be used to forecast the monthly broiler prices. In this context, the periodic autoregressive (PAR), the seasonal integrated models, and the Box-Jenkins (SARIMA) models were used as the primary nominates for the forecasting model. It was shown that the PAR (q) model could not be considered as an appropri...

Purpose – Price forecasting is essential for risk management in deregulated electricity markets. The purpose of this paper is to propose a hybrid technique using wavelet transform (WT) and multiple linear regression (MLR) to forecast price profile in electricity markets. Design/methodology/approach – Price series is highly volatile and non-stationary in nature. In this work, initially complete ...

This paper analyzes the relationship between capital structure and earning management. For analysing we used 119 non-financial companies that listed in Tehran Stock Exchange from 2000 to 2008. The researchers will focus on comparing the Jones Model and the Modified Jones Model, which are the two most frequently used model in empirical analysis nowadays. Earnings management is a kind of manageme...

This paper analyzes the relationship between capital structure and earning management. For analyzing we use 119 non-financial companies that listed in Tehran Stock Exchange from 2000 to 2008. The researchers will focus on comparing the Jones Model and the Modified Jones Model, which are the two most frequently used model in empirical analysis nowadays. Earnings management is a kind of managemen...

Department of Accounting, Faculty of Management Studies and Commerce, University of Jaffna, Jaffna, Sri Lanka. *Corresponding Author’s E-mail: [email protected]/ [email protected] Tel: +94-777-238-282(Mobile)/ +9421222-7519 (office) The purpose of this research is to provide empirical evidence concerning value relevance of accounting information such as Earning per Share (EPS), Net Asset...

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...