Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Forecasting turning points in stock market prices by applying a neuro – fuzzy model

Zopounidis Konstantinos, Atsalakis Georgios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/83929225-3548-4BE3-BDE5-90EC6BD901AC-
Γλώσσαen-
Μέγεθος10 pagesen
ΤίτλοςForecasting turning points in stock market prices by applying a neuro – fuzzy modelen
ΔημιουργόςZopounidis Konstantinosen
ΔημιουργόςΖοπουνιδης Κωνσταντινοςel
ΔημιουργόςAtsalakis Georgiosen
ΔημιουργόςΑτσαλακης Γεωργιοςel
ΠερίληψηMany researchers have tried to model the human behavior in stock markets. Because stock markets are influenced by many economical, political and psychological factors, it is very difficult to forecast the future stock prices. However, it is impossible to develop a precise mathematical model that can predict crisp numerical values of the stock prices. This is due to uncertainties involved in these parameters, the uncertain behavior of the factors, and tolerances. The potential of fuzzy logic in developing a model for characterization by approximate reasoning really lies here. This paper presents a modest attempt to catch rather the turning points of stock prices by using the Fuzzy Inference System (FIS) rather than the absolute prices. The methodology consists of two steps: (1) developing the basic model using special data to train the model and (2) validating the basic model by using the special and raw stock exchange data. The results have indicated that the fuzzy inference system provides a prudent way to capture uncertainty (non-statistical) in relationships among parameters that control the turning points of the stock prices. The novelty of this article is the selected data used for training the model. Each sample of data includes four values that correspond to the stock prices of four continued sessions. These data samples are then divided into the training and checking data. In the evaluation phase, unseen data are presented in the model in order to forecast the turning point of the stock. en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-29-
Ημερομηνία Δημοσίευσης2009-
Θεματική ΚατηγορίαCapability, Financial (Financial literacy)en
Θεματική ΚατηγορίαFinancial capability (Financial literacy)en
Θεματική ΚατηγορίαLiteracy, Financialen
Θεματική Κατηγορίαfinancial literacyen
Θεματική Κατηγορίαcapability financial financial literacyen
Θεματική Κατηγορίαfinancial capability financial literacyen
Θεματική Κατηγορίαliteracy financialen
Βιβλιογραφική ΑναφοράG. Atsalakis and C. Zopounidis ," Forecasting turning points in stock market prices by applying a neuro – fuzzy model," Intern. J. of Engineering and Manag., vol. 1, no 1, pp. 19 – 28, 2009.en

Υπηρεσίες

Στατιστικά