EMPIRICAL ANALYSIS OF THE CAUSAL RELATIONSHIPS OF SPILLOVERS IN THE VOLATILITY OF THE S&P-500 INDEX

Authors

DOI:

https://doi.org/10.35774/jee2024.02.192

Keywords:

spillover of volatility; Granger causality; GARCH (1,1) model; S&P-500 index; conditional volatility.

Abstract

The volatile nature of the relationship between the stock index and the stocks which stand for it, is revealed. The directions of volatility spillovers are studied in the context of the transformation of causal relationships. The article analyses the interrelationships and volatility spillovers between the S&P-500 index and the shares of META and GOOG (technology sector), JPM and BAC (financial sector), MRO and OXY (oil and gas sector), which are included in the index. The research methodology is based on the GARCH (1,1) model, which allows considering the development of variance over time and the dynamics of conditional volatility of time series. The identified interdependencies are focused on forecasting volatility spillover shocks from the S&P 500 to stocks and vice versa.

JEL: С58, G17, G10, G12.

Author Biographies

Georgios L. THANASAS, University of Patras

Assistant Professor

Ivan HAVRYLOV, Kyiv National University of Economics named after Vadim Hetman, Kyiv

Master of Finance, Banking, and Insurance

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Published

01.06.2024

How to Cite

THANASAS, Georgios L., and Ivan HAVRYLOV. “EMPIRICAL ANALYSIS OF THE CAUSAL RELATIONSHIPS OF SPILLOVERS IN THE VOLATILITY OF THE S&P-500 INDEX”. Journal of European Economy, vol. 23, no. 2, June 2024, pp. 192-03, doi:10.35774/jee2024.02.192.