Artikel

Infinite-Variance Error Structure in Finance and Economics

Many macroeconomic and financial data exhibit large outliers and high volatility so that their returns are usually modeled to follow an infinite-variance stable process. Extreme behaviors in such data tend to exist especially for emerging markets due to frequent existence of high economic turmoil. A relatively new area of research studies that model the financial returns as infinite-variance stable errors exists for emerging markets as well as for industrialized countries. This study aims to briefly introduce the reader the concept of infinite-variance stable distributions, discuss some existing studies on unit root and cointegration tests that assume infinite-variance stable error structure, and then to point out the potential lines of research while showing the significance of this relatively new concept.

Sprache
Englisch

Erschienen in
Journal: International Econometric Review (IER) ; ISSN: 1308-8815 ; Volume: 10 ; Year: 2018 ; Issue: 1 ; Pages: 14-23 ; Ankara: Econometric Research Association (ERA)

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Thema
Infinite-Variance Errors
Stable Distributions
Financial Returns
Unit Root Tests
Co-Integration Tests

Ereignis
Geistige Schöpfung
(wer)
Serttas, Fatma Ozgu
Ereignis
Veröffentlichung
(wer)
Econometric Research Association (ERA)
(wo)
Ankara
(wann)
2018

DOI
doi:10.33818/ier.306676
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Serttas, Fatma Ozgu
  • Econometric Research Association (ERA)

Entstanden

  • 2018

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