Time-Frequency Co-movement of South African Asset Markets: Evidence from an MGARCH-ADCC Wavelet Analysis
Loading...
Date
Authors
Researcher ID
Supervisors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Banja Luka, Faculty of Economics
Record Identifier
Abstract
The growing prominence of generating a well-diversified portfolio by holding securities
from multi-asset markets has, over the years, drawn criticism. Various financial market events
have caused asset markets to co-move, especially in emerging markets, which reduces portfolio
diversification and enhances return losses. Consequently, this study examines the time–frequency comovement of multi-asset classes in South Africa by using the Multivariate Generalized Autoregressive
Conditional Heteroscedastic–Asymmetrical Dynamic Conditional Correlation (MGARCH-DCC)
model, Maximal Overlap Discrete Wavelet Transformation (MODWT), and the Continuous Wavelet
Transform (WTC) for the period 2007 to 2024. The findings demonstrate that the equity–bond, equity–
property, equity–gold, bond–property, bond–gold, and property–gold markets depict asymmetrical
time-varying correlations. Moreover, correlation in these asset pairs varies at investment periods
(short-term, medium-term, and long-term), with historical events such as the 2007/2008 Global
Financial Crisis (GFC) and the COVID-19 pandemic causing these asset pairs to co-move at different
investment periods, which reduces diversification properties. The findings suggest that South African
multi-asset markets co-move, affecting the diversification properties of holding multi-asset classes
in a portfolio at different investment periods. Consequently, investors should consider the holding
periods of each asset market pair in a portfolio as they dictate the level of portfolio diversification.
Investors should also remember that there are lead–lag relationships and risk transmission between
asset market pairs, enhancing portfolio volatility. This study assists investors in making more
informed investment decisions and identifying optimal entry or exit points within South African
multi-asset markets.
Sustainable Development Goals
Description
School of Economic Science, North-West University, Vanderbijlpark 1174, South Africa
Keywords
Citation
Moodley, Fabian, Sune Ferreira-Schenk, and Kago Matlhaku. 2024. Time–Frequency Co-Movement of South African Asset Markets: Evidence from an MGARCH-ADCC Wavelet Analysis. Journal of Risk and Financial Management 17: 471. https://doi.org/10.3390/ jrfm17100471
