Forecasting initial public offering pricing using Particle Swarm Optimization (PSO) algorithm and Support Vector Machine (SVM) in Iran
Shaho Heidari Gandoman, Navab Kiamehr, Mahmood Hemetfar
| Year of publication: |
June 2017
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|---|---|
| Authors: | Heidari Gandoman, Shaho ; Kiamehr, Navab ; Hemetfar, Mahmood |
| Published in: |
Business and Economic Research : BER. - Las Vegas, Nev. : Macrothink Institute, ISSN 2162-4860, ZDB-ID 2640826-0. - Vol. 7.2017, 1, p. 336-349
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| Subject: | Business | Finance | Initial public offer | Pricing | Neural networks | Support vector machine | Particle swarm optimization algorithm | Mustererkennung | Pattern recognition | Algorithmus | Algorithm | Börsengang | Initial public offering | Neuronale Netze | Theorie | Theory | Iran | Mathematische Optimierung | Mathematical programming |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.5296/ber.v7i1.10910 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011684833