Which Commodity Sectors Effectively Hedge Emerging Eastern European Stock Markets? Evidence from MGARCH Models

Amel Melki () and Ahmed Ghorbel ()
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Amel Melki: CODECI Laboratory, Department of Quantitative Methods, Faculty of Economics and Management (FSEG) of Sfax, University of Sfax, Sfax 3018, Tunisia
Ahmed Ghorbel: CODECI Laboratory, Department of Quantitative Methods, Faculty of Economics and Management (FSEG) of Sfax, University of Sfax, Sfax 3018, Tunisia

Commodities, 2023, vol. 2, issue 3, 1-19

Abstract: This study aims at examining whether hedging emerging Eastern Europe stock markets with commodities sectors can help in reducing market risks and whether it has the same effectiveness among different sectors. As an attempt to achieve this goal, we opt for three types of MGARCH model. These are DCC, ADCC and GO-GARCH, which are used with each bivariate series to model dynamic conditional correlations, optimal hedge ratios and hedging effectiveness. Rolling window analysis is used for out-of-sample one-step-ahead forecasts from December 1994 to June 2022. The results have shown that the commodities sectors of industrial metals and energy represent the optimal hedging instruments for emerging Eastern Europe stock markets as they have the highest hedging effectiveness. Additionally, our empirical results have proved that hedge ratios estimated by the DCC and ADCC models are very similar, which is not the case for GO-GARCH, and that hedging effectiveness is preferably estimated by the ADCC model.

Keywords: commodities sectors; emerging Eastern Europe stock markets; hedging effectiveness; DCC; ADCC; GO-GARCH (search for similar items in EconPapers)
JEL-codes: C0 C1 C2 C3 C4 C5 C6 C7 C8 C9 D4 E3 E6 F0 F1 F3 F4 F5 F6 G1 O1 O5 Q1 Q2 Q4 (search for similar items in EconPapers)
Date: 2023
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