Computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. Forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. Nowadays, despite the numerous time series forecasting models propos...

the adsorption of lead (11) and copper (11) in a fixed bed column using activated carbonprepared from nipa palm nut was investigated. thomas model and yoon and nelson kinetic models were used to analyze the column performance. the rate constant for thomas model increased with increase in flow rate and initial ion concentration but remained constant at varying bed height. adsorption capacity for...

We present a new task model for the real-time execution of event-driven tasks in which no a priori characterization of the actual arrival rates of events is known; only the expected arrival rates of events is known. We call this new task model rate-based execution (RBE), and it is a generalization of the common sporadic task model. The RBE model is motivated naturally by distributed multimedia ...

â â â â â â â â â â â  the recent global crisis, as a big crash ( baldwin and simon , 2009), has reduced foreign demand growth affecting total countries’ exports. given the importance of foreign trade to nations and the reality that recent crisis has affected international trade we study the effects of the global financial crisis on trade relations between countries by using ma and cheng (200...

one of the most significant discussion and challenges propounded in the macroeconomics is the effects of fluctuations of exchange rate on the macroeconomic variables (production, employment, inflation and … etc).in this direction, the important and noticeable point is the factors which lead to fluctuations in the exchange rate which, from amongst these factors as an example, is fluctuations in ...

in this paper, a compound binomial risk model in the presence of a constant dividend barrier is studied. two types of individual claims, main claims and by-claims, are defined, where every by-claim is induced by the main claim randomly and may be delayed for one time period with a certain probability. in the evaluation of the moments of the present value of dividends, the interest rates are ass...

computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. nowadays, despite the numerous time series forecasting models propos...

A positive spot rate model driven by a gamma process and correlated to equity is introduced and calibrated via closed forms for the joint characteristic function for the rate r, its integral y and the logarithm of the stock price s under the T-forward measure. The law of the triple (r; y; s) is expressed as a nonlinear transform of three independent processes, a gamma process, a variance gamma ...

this paper evaluates the real exchange rate fluctuations and uncertainties resulting from it, in the iranian economy. for this purpose, at first indirect effect of real exchange rate uncertainties on economic growth through foreign investment, private investment and exports are expressed, then the real exchange rate uncertainties and its relationship with economic growth and final pattern of in...