Pregled bibliografske jedinice broj: 1075687
Selected Applications of Grey Models in Stock Price Prediction
Selected Applications of Grey Models in Stock Price Prediction // Recent Applications of Financial Risk Modelling and Portfolio Management / Škrinjarić, Tihana ; Čižmešija, Mirjana ; Christiansen, Bryan (ur.).
Hershey (PA): IGI Global, 2021. str. 346-362 doi:10.4018/978-1-7998-5083-0.ch017
CROSBI ID: 1075687 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Selected Applications of Grey Models in Stock
Price Prediction
Autori
Škrinjarić, Tihana ; Čižmešija, Mirjana
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Recent Applications of Financial Risk Modelling and Portfolio Management
Urednik/ci
Škrinjarić, Tihana ; Čižmešija, Mirjana ; Christiansen, Bryan
Izdavač
IGI Global
Grad
Hershey (PA)
Godina
2021
Raspon stranica
346-362
ISBN
9781799850847
ISSN
2327-5677
Ključne riječi
Grey Model ; portfolio selection ; stock market
Sažetak
This chapter examines the possibilities of utilizing the results of Grey Models (GM) in the portfolio selection. Namely, stock price prediction represents one of the most important steps in the portfolio management. Many different models and methods have been developed for this purpose over the decades. The GM models could be utilized for such purpose. However, this approach is still relatively unknown today although research in the Far East has shown that applications of GM approach have good forecasting capabilities. That is why this chapter aims to popularize the GM approach of modeling stock prices and to combine the estimation results with the portfolio performance measurement. The benefits of using GM models within the portfolio management are empirically confirmed using daily data on the stock market index CROBEX from Zagreb Stock Exchange during the period from September 2, 2019, until February 7, 2020. The GM(2, 1) model is the best performing one with respect to out of sample forecasts and based on portfolio performance measures important to the investor.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Ekonomija
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb