Pregled bibliografske jedinice broj: 1037910
Challenges of integrated variance estimation in emerging stock markets
Challenges of integrated variance estimation in emerging stock markets // Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 37 (2019), 2; 713-739 doi:10.18045/zbefri.2019.2.713 (međunarodna recenzija, prethodno priopćenje, znanstveni)
CROSBI ID: 1037910 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Challenges of integrated variance estimation in
emerging stock markets
Autori
Arnerić, Josip ; Matković, Mario
Izvornik
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu (1331-8004) 37
(2019), 2;
713-739
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopćenje, znanstveni
Ključne riječi
integrated variance ; optimal sampling frequency ; microstructure noise ; jumps ; two-time scale estimator ; emerging sock market
Sažetak
Estimating integrated variance, using high frequency data, requires modelling experience and data crunching skills. Although intraday returns have attracted much attention in recent years, handling these data is challenging because of their unique characteristics. When dealing with ultra-high frequency or tick-by- tick observations the enormous amount of data needs to be processed prior to estimation for two reasons: eliminating microstructure noise and finding appropriate unbiased estimator of the unobservable integrated variance. This paper contributes to the existing literature in a two ways. First, we propose how to handle quality issues of the high frequency data due to non-frequent trading and lower liquidity of emerging markets. Second, we find the optimal sampling frequency at slow time scale that should be used to obtain two-time scale estimator of integrated variance for each emerging market under consideration: Romania, Hungary, Bulgaria and Croatia. Empirical results indicate that intraday returns should be sampled every 7 to 10 minutes at slow time scale while the fast time scale should be fixed at the highest possible and appropriate frequency. Realized variance estimator at the fast time scale mostly overestimates the integrated variance on all stock markets except Bulgaria ; on average between 70% and 90% of the time. Moreover, the robustness of the results with respect to the price jumps has been verified for Romania and Hungary, unlike Croatia and Bulgaria, for which we recommend using a robust version of two-time scale estimation of integrated variance within truncation technique. It is additionally found that intraday returns should be sampled more frequently in a highly volatile periods. These findings offer valuable information to market participants, as they are able to apply the most accurate ex-post volatility measure, as unbiased and consistent estimate of integrated variance.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Projekti:
UIP-2013-11-5199 - Mjerenje, modliranje i prognoziranje volatilnosti (Volatility) (Arnerić, Josip, HRZZ - 2013-11) ( CroRIS)
NadSve-Sveučilište u Zagrebu-2019-05 - Analiza volatilnosti financijskih tržišta visoko frekventnim podacima (Arnerić, Josip, NadSve ) ( CroRIS)
Ustanove:
Ekonomski fakultet, Zagreb
Profili:
Josip Arnerić (autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus
- EconLit
Uključenost u ostale bibliografske baze podataka::
- CAB Abstracts
- ProQuest
- Cambridge
- DOAJ
- EBSCO