Artikel

The effects of global risk indicators on the MSCI Emerging Markets Index

The rising uncertainty in financial markets in the last 40 years has led to the creation of new financial indices that will enable these uncertainties to be defined and measured. For this purpose, the first volatility index created was the VIX Index as an indicator of uncertainty in the stock markets, which was followed by the OVX Index as an indicator of uncertainty in the oil markets and the GVZ Index as an indicator of uncertainty in the gold markets. These volatility indices are also called "global risk indicators". The MSCI (Morgan Stanley Capital International) Emerging Markets Index, which is the dependent variable of the study, is an index that is frequently followed by fund and portfolio managers in international markets and used as a benchmark. Therefore, in this study, the relationship between the MSCI EM Index and the global risk indicators for the period 28.03.2011-25.03.2022 was examined by the Toda-Yamamoto Causality Test. Afterwards, impulse-response and variance decomposition tests were applied to the variables. As a result of the study, causality relationships from global risk indicators to the MSCI EM Index were determined.

Language
Englisch

Bibliographic citation
Journal: Financial Internet Quarterly ; ISSN: 2719-3454 ; Volume: 18 ; Year: 2022 ; Issue: 3 ; Pages: 1-10 ; Warsaw: Sciendo

Classification
Wirtschaft
Financial Econometrics
International Finance: General
International Finance Forecasting and Simulation: Models and Applications
Subject
MSCI Emerging Markets Index
global risk indicators
VIX Index
OVX Index
GVZ Index
Toda-Yamamoto Causality Test

Event
Geistige Schöpfung
(who)
Öner, Selma
Event
Veröffentlichung
(who)
Sciendo
(where)
Warsaw
(when)
2022

DOI
doi:10.2478/fiqf-2022-0015
Handle
Last update
10.03.2025, 11:46 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Öner, Selma
  • Sciendo

Time of origin

  • 2022

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