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Creator:
De Leone, Renato , Marchitto , Emilia , and Quaranta , Anna Grazia
Format:
bez média and svazek
Type:
model:article and TEXT
Subject:
Technical analysis , autoregression , support vector machine , support vector regression , and artificial neural networks
Language:
English
Description:
In recent years the interest of the investors in efficient methods for the forecasting price trend of a share in financial markets has grown steadily. The aim is to accurately forecast the future behavior of the market in order to identificate the so-called "correct timing".
In this paper we analyze three different approaches for forecasting financial data: Autoregression, artificial neural networks and support vector machines and we will determine potentials and limits of these methods. Application to the Italian financial market is also presented.
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
Format:
bez média and svazek
Type:
model:article and TEXT
Language:
Czech
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public