STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICA

This paper uses advanced econometric methods to explore the statistical properties, volatility dynamics, and macroeconomic determinants of Listed Private Equity (LPE) investments in South Africa from 2010 to 2023. The key objectives include testing for non-normality in LPE returns and assessing vol...

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Main Authors: Chricencia Makanyara MURAPE, Raphael Tabani MPOFU
Format: Article
Language:English
Published: Association of Scientists and Intellectuals of Kosovo 2025-04-01
Series:Prizren Social Science Journal
Subjects:
Online Access:https://prizrenjournal.com/index.php/PSSJ/article/view/603
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author Chricencia Makanyara MURAPE
Raphael Tabani MPOFU
author_facet Chricencia Makanyara MURAPE
Raphael Tabani MPOFU
author_sort Chricencia Makanyara MURAPE
collection DOAJ
description This paper uses advanced econometric methods to explore the statistical properties, volatility dynamics, and macroeconomic determinants of Listed Private Equity (LPE) investments in South Africa from 2010 to 2023. The key objectives include testing for non-normality in LPE returns and assessing volatility clustering. By employing GARCH-family models, the study effectively captures asymmetric and long-memory effects in LPE returns. A VAR model combined with Impulse Response Functions quantifies the impact of macroeconomic shocks, revealing that inflation imposes a significant and sustained adverse effect on LPE returns. In contrast, GDP growth exerts a weaker, short-lived positive influence. The findings also highlight the dynamic Relationship between corporate strategies and market volatility, showcasing how firms adapt to and influence volatility through diversification, hedging, and sectoral realignment. These results are consistent with contemporary theories on strategic responses to volatility (Jiang et al., 2021). Furthermore, the DCC MGARCH results suggest minimal volatility spillovers within the South African LPE market, indicating reduced systemic risks and opportunities for adequate portfolio diversification. The study provides a framework to enhance risk management and informed decision-making within South Africa's LPE market. Future research should extend these insights by investigating cross-border spillover effects and examining how regulatory frameworks can stabilize the LPE sector.
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publisher Association of Scientists and Intellectuals of Kosovo
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series Prizren Social Science Journal
spelling doaj-art-29c24ab72a8e42e3ae779e641fb02bec2025-08-20T03:12:50ZengAssociation of Scientists and Intellectuals of KosovoPrizren Social Science Journal2616-387X2025-04-019110.32936/pssj.v9i1.603579STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICAChricencia Makanyara MURAPE0Raphael Tabani MPOFU1University of South AfricaUniversity of South Africa This paper uses advanced econometric methods to explore the statistical properties, volatility dynamics, and macroeconomic determinants of Listed Private Equity (LPE) investments in South Africa from 2010 to 2023. The key objectives include testing for non-normality in LPE returns and assessing volatility clustering. By employing GARCH-family models, the study effectively captures asymmetric and long-memory effects in LPE returns. A VAR model combined with Impulse Response Functions quantifies the impact of macroeconomic shocks, revealing that inflation imposes a significant and sustained adverse effect on LPE returns. In contrast, GDP growth exerts a weaker, short-lived positive influence. The findings also highlight the dynamic Relationship between corporate strategies and market volatility, showcasing how firms adapt to and influence volatility through diversification, hedging, and sectoral realignment. These results are consistent with contemporary theories on strategic responses to volatility (Jiang et al., 2021). Furthermore, the DCC MGARCH results suggest minimal volatility spillovers within the South African LPE market, indicating reduced systemic risks and opportunities for adequate portfolio diversification. The study provides a framework to enhance risk management and informed decision-making within South Africa's LPE market. Future research should extend these insights by investigating cross-border spillover effects and examining how regulatory frameworks can stabilize the LPE sector. https://prizrenjournal.com/index.php/PSSJ/article/view/603Listed Private Equity. South Africa. Volatility modeling. GARCH-family models. Macroeconomic factors. Corporate strategies.
spellingShingle Chricencia Makanyara MURAPE
Raphael Tabani MPOFU
STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICA
Prizren Social Science Journal
Listed Private Equity. South Africa. Volatility modeling. GARCH-family models. Macroeconomic factors. Corporate strategies.
title STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICA
title_full STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICA
title_fullStr STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICA
title_full_unstemmed STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICA
title_short STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICA
title_sort strategic adaptations and volatility dynamics modeling listed private equity in south africa
topic Listed Private Equity. South Africa. Volatility modeling. GARCH-family models. Macroeconomic factors. Corporate strategies.
url https://prizrenjournal.com/index.php/PSSJ/article/view/603
work_keys_str_mv AT chricenciamakanyaramurape strategicadaptationsandvolatilitydynamicsmodelinglistedprivateequityinsouthafrica
AT raphaeltabanimpofu strategicadaptationsandvolatilitydynamicsmodelinglistedprivateequityinsouthafrica