Statistical and RBF NN models: Providing forecasts and risk assessment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F09%3A%230002966" target="_blank" >RIV/47813059:19240/09:#0002966 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Statistical and RBF NN models: Providing forecasts and risk assessment

Original language description

Forecast accuracy of economic and financial processes is a popular measure for quantifying the risk in decision making. In this paper, we develop forecasting models based on statistical (stochastic) methods, sometimes called as hard computing, and on a soft method using granular computing. We consider the accuracy of forecasting models as a measure for the risk evaluation. It is found that the risk estimation process based on soft methods is simplified and less critical to the question whether the datais true crisp or white noise.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AH - Economics

OECD FORD branch

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Project

<a href="/en/project/GA402%2F08%2F0022" target="_blank" >GA402/08/0022: The Latest Intelligent Methodologies for Economic Time Series Modelling and Forecasting</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Central European Review of Economic Issues - Ekonomická Revue

ISSN

1212-3951

e-ISSN

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Volume of the periodical

No. 4/2009

Issue of the periodical within the volume

4/2009

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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