Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management

The connectedness dynamics between large-, mid-, and small-cap stocks is investigated using the forecasted error variance decomposition (FEVD) spillover framework of Diebold and Yilmaz in the time-frequency domain. Total volatility spillover (i.e., connectedness) is elevated between large-, mid-, an...

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Autores principales: Sangram Keshari Jena, Aviral Kumar Tiwari, Ashutosh Dash, Emmanuel Joel Aikins Abakah
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/ea6562b4c83a4d96989e2021bbe132d5
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spelling oai:doaj.org-article:ea6562b4c83a4d96989e2021bbe132d52021-11-25T18:08:36ZVolatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management10.3390/jrfm141105311911-80741911-8066https://doaj.org/article/ea6562b4c83a4d96989e2021bbe132d52021-11-01T00:00:00Zhttps://www.mdpi.com/1911-8074/14/11/531https://doaj.org/toc/1911-8066https://doaj.org/toc/1911-8074The connectedness dynamics between large-, mid-, and small-cap stocks is investigated using the forecasted error variance decomposition (FEVD) spillover framework of Diebold and Yilmaz in the time-frequency domain. Total volatility spillover (i.e., connectedness) is elevated between large-, mid-, and small-cap stocks during the study period. This high level of spillover exists in the short run only, and declines gradually in the medium to long run, thus providing opportunities for portfolio diversification (hedging) in multi-cap investing during the medium-to-long run (short run) only. Like total connectedness, a similar pattern of bilateral connectedness is observed between either of the two indices, thus providing a similar opportunity in the short and long runs. The mid-cap index emerges as the major contributor to total volatility in the system, followed by the small- and large-cap indices, during the analyzed period. The volatility spillover is time-varying in both the time and frequency domains.Sangram Keshari JenaAviral Kumar TiwariAshutosh DashEmmanuel Joel Aikins AbakahMDPI AGarticlevolatility spilloverconnectednesslarge-, mid-, and small-capportfolio diversification and hedgingtimefrequency domainRisk in industry. Risk managementHD61FinanceHG1-9999ENJournal of Risk and Financial Management, Vol 14, Iss 531, p 531 (2021)
institution DOAJ
collection DOAJ
language EN
topic volatility spillover
connectedness
large-, mid-, and small-cap
portfolio diversification and hedging
time
frequency domain
Risk in industry. Risk management
HD61
Finance
HG1-9999
spellingShingle volatility spillover
connectedness
large-, mid-, and small-cap
portfolio diversification and hedging
time
frequency domain
Risk in industry. Risk management
HD61
Finance
HG1-9999
Sangram Keshari Jena
Aviral Kumar Tiwari
Ashutosh Dash
Emmanuel Joel Aikins Abakah
Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management
description The connectedness dynamics between large-, mid-, and small-cap stocks is investigated using the forecasted error variance decomposition (FEVD) spillover framework of Diebold and Yilmaz in the time-frequency domain. Total volatility spillover (i.e., connectedness) is elevated between large-, mid-, and small-cap stocks during the study period. This high level of spillover exists in the short run only, and declines gradually in the medium to long run, thus providing opportunities for portfolio diversification (hedging) in multi-cap investing during the medium-to-long run (short run) only. Like total connectedness, a similar pattern of bilateral connectedness is observed between either of the two indices, thus providing a similar opportunity in the short and long runs. The mid-cap index emerges as the major contributor to total volatility in the system, followed by the small- and large-cap indices, during the analyzed period. The volatility spillover is time-varying in both the time and frequency domains.
format article
author Sangram Keshari Jena
Aviral Kumar Tiwari
Ashutosh Dash
Emmanuel Joel Aikins Abakah
author_facet Sangram Keshari Jena
Aviral Kumar Tiwari
Ashutosh Dash
Emmanuel Joel Aikins Abakah
author_sort Sangram Keshari Jena
title Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management
title_short Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management
title_full Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management
title_fullStr Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management
title_full_unstemmed Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management
title_sort volatility spillover dynamics between large-, mid-, and small-cap stocks in the time-frequency domain: implications for portfolio management
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/ea6562b4c83a4d96989e2021bbe132d5
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AT aviralkumartiwari volatilityspilloverdynamicsbetweenlargemidandsmallcapstocksinthetimefrequencydomainimplicationsforportfoliomanagement
AT ashutoshdash volatilityspilloverdynamicsbetweenlargemidandsmallcapstocksinthetimefrequencydomainimplicationsforportfoliomanagement
AT emmanueljoelaikinsabakah volatilityspilloverdynamicsbetweenlargemidandsmallcapstocksinthetimefrequencydomainimplicationsforportfoliomanagement
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