نتایج جستجو برای: financial forecasting
تعداد نتایج: 185933 فیلتر نتایج به سال:
این تحقیق قصد دارد تا میزان توانایی تبدیل موجک هار (haar) را در پیشبینی دادههای سریزمانی مالی مورد ارزیابی قرار دهد. بههمین منظور دادههای بورس نزدک را از سایت یاهو فاینانس انتخاب کرده و سریزمانی بازدهی این دادهها را ابتدا توسط مدل garch پیشبینی، و نتایج را ثبت کرده ایم و سپس همان سری دادهها را با استفاده از تبدیل موجک هار (haar) تبدیل و با استفاده از مدل arima این دادههای تبدیل یافته را نیز، پی...
The major focus of this course will be the techniques that are commonly used by financial managers to forecast financial situations. The course also will deal with financial planning and financial modeling, because these are so closely related to forecasting. A considerable portion of this course is devoted to quantitative forecasting techniques, but this is not because forecasting should be do...
The purpose of this study was to investigate the effect of non-financial indicators on forecasting The occurrence of financial distress in the Shahr Bank from the point of view of urban managers using the structural equation modeling approach. This research is an applied research in terms of purpose And in terms of method, it was a descriptive-survey study. The statistical population of the stu...
in recent years, various time series models have been proposed for financial markets forecasting. in each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. many researchers have compared different time series models together in order to determine more efficient ...
In recent years, various time series models have been proposed for financial markets forecasting. In each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. Many researchers have compared different time series models together in order to determine more efficien...
The forecasting of financial variables is a problem which has been investigated ever since economies began to develop. Modern day information technology now provides at the fingertips of forecasters an enormous range of historical data, automated forecasts and news stories. In addition to assisting with traditional financial forecasting problems this has allowed financial time series to be inve...
Financial time series forecasting is a popular application of machine learning methods. Previous studies report that advanced forecasting methods predict price changes in financial markets with high accuracy and that profit can be made trading on these predictions. However, financial economists point to the informational efficiency of financial markets, which questions price predictability and ...
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...
Financial time series forecasting using independent component analysis and support vector regression
As financial time series are inherently noisy and non-stationary, it is regarded as one of the most challenging applications of time series forecasting. Due to the advantages of generalization capability in obtaining a unique solution, support vector regression (SVR) has also been successfully applied in financial time series forecasting. In the modeling of financial time series using SVR, one ...
Financial forecasting is a vital area in computational finance, where several studies have taken place over the years. One way of viewing financial forecasting is as a classification problem, where the goal is to find a model that represents the predictive relationships between predictor attribute values and class attribute values. In this paper we present a comparative study between two bio-in...
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