Financial Forecasting in Financial Management Strategy: Goals, Objectives, Methods
نویسندگان
چکیده
منابع مشابه
Computational Intelligence Methods for Financial Forecasting
Forecasting the short run behavior of foreign exchange rates is a challenging problem that has attracted considerable attention. High frequency financial data are typically characterized by noise and non–stationarity. In this work we investigate the profitability of a forecasting methodology based on unsupervised clustering and feedforward neural networks and compare its performance with that o...
متن کاملEddie for Financial Forecasting
EDDIE is a genetic-programming based system for channelling expert knowledge into forecasting. FGP-2 is an implementation of EDDIE for financial forecasting. The novelty of FGP-2 is that, as a forecasting tool, it provides the user with a handle for tuning the precision against the rate of missing opportunities. This allows the user to pick investment opportunities with greater confidence.
متن کاملThe Islamic Financial Reporting Goals and convergence with International Financial Reporting Standards (IFRS
According to some accountants, financial reporting in the islamic countries should be based on fairness, goodness and morality. This study examined the possibility of modifying the conventional framework for reporting in line with Islamic accounting objectives and to adapt the process of recognition and reporting financial events in accordance with the Shari'a principles. The research method is...
متن کاملApplication of Mathematics in Financial Management
The Time Value of Money is a important concept in Financial Management. The Time Value of Money includes the concepts of future value and discounted value or present value. In the present article, the basic notions and illustrate with their application in the field of investment which is presented in the mathematical terms in form of theorems and we also presented the applications of some well ...
متن کاملNeural networks for financial forecasting
Neural networks demonstrate great potential for discovering non-linear relationships in time-series and extrapolating from them. Results of forecasting using financial data are particularly good [LapFar87, Schöne9O, ChaMeh92]. In contrast, traditional statistical methods are restrictive as they try to express these non-linear relationships as linear models. This thesis investigates the use of t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Interactive science
سال: 2021
ISSN: 2414-9411,2500-2686
DOI: 10.21661/r-553845