Pregled bibliografske jedinice broj: 833888
Dynamic Portfolio Selection on Croatian Financial Markets: MGARCH Approach
Dynamic Portfolio Selection on Croatian Financial Markets: MGARCH Approach // Business systems research, 7 (2016), 2; 78-90 doi:10.1515/bsrj-2016-0014 (podatak o recenziji nije dostupan, članak, znanstveni)
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Naslov
Dynamic Portfolio Selection on Croatian Financial Markets: MGARCH Approach
Autori
Škrinjarić, Tihana ; Šego, Boško
Izvornik
Business systems research (1847-8344) 7
(2016), 2;
78-90
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Zagreb Stock Exchange; DCC and CCC GARCH; risk hedging; volatility
Sažetak
Background: Investors on financial markets are interested in finding trading strategies which could enable them to beat the market. They always look for best possibilities to achieve above-average returns and manage risks successfully. MGARCH methodology (Multivariate Generalized Autoregressive Conditional Heteroskedasticity) makes it possible to model changing risks and return dynamics on financial markets on a daily basis. The results could be used in order to enhance portfolio formation and restructuring over time. Objectives: This study utilizes MGARCH methodology on Croatian financial markets in order to enhance portfolio selection on a daily basis. Methods/Approach: MGARCH methodology is applied to the stock market index CROBEX, the bond market index CROBIS and the kuna/euro exchange rate in order to model the co-movements of returns and risks on a daily basis. The estimation results are then used to form successful portfolios. Results: Results indicate that using MGARCH methodology (the CCC and the DCC model) as guidance when forming and rebalancing a portfolio contributes to less portfolio volatility and greater cumulated returns compared to strategies which do not take this methodology into account. Conclusions: It is advisable to use MGARCH methodology when forming and rebalancing portfolios in terms of portfolio selection.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Ekonomija
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)