IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v14y2021i11p531-d674249.html
   My bibliography  Save this article

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

Author

Listed:
  • Sangram Keshari Jena

    (Finance & Economics, International Management Institute, Bhubaneswar 751003, India)

  • Aviral Kumar Tiwari

    (Finance & Economics, Rajagiri Business School, Rajagiri Valley Campus, Kochi 682039, India)

  • Ashutosh Dash

    (Accounting & Finance, Management Development Institute, Gurugram 122007, India)

  • Emmanuel Joel Aikins Abakah

    (Department of Applied Economics, University of Cape Coast, Cape Coast CC-075-8216, Ghana)

Abstract

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.

Suggested Citation

  • Sangram Keshari Jena & Aviral Kumar Tiwari & Ashutosh Dash & Emmanuel Joel Aikins Abakah, 2021. "Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management," JRFM, MDPI, vol. 14(11), pages 1-22, November.
  • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:11:p:531-:d:674249
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/14/11/531/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/14/11/531/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pin-te Lin, 2013. "Examining volatility spillover in Asian REIT markets," Applied Financial Economics, Taylor & Francis Journals, vol. 23(22), pages 1701-1705, November.
    2. Fleming, Jeff & Kirby, Chris & Ostdiek, Barbara, 1998. "Information and volatility linkages in the stock, bond, and money markets," Journal of Financial Economics, Elsevier, vol. 49(1), pages 111-137, July.
    3. Muller, Ulrich A. & Dacorogna, Michel M. & Dave, Rakhal D. & Olsen, Richard B. & Pictet, Olivier V. & von Weizsacker, Jacob E., 1997. "Volatilities of different time resolutions -- Analyzing the dynamics of market components," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 213-239, June.
    4. Moreira, Alan & Muir, Tyler, 2019. "Should Long-Term Investors Time Volatility?," Journal of Financial Economics, Elsevier, vol. 131(3), pages 507-527.
    5. Gorman, Larry, 2003. "Conditional performance, portfolio rebalancing, and momentum of small-cap mutual funds," Review of Financial Economics, Elsevier, vol. 12(3), pages 287-300.
    6. Yanan Li & David E. Giles, 2015. "Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 155-177, March.
    7. Tiwari, Aviral Kumar & Cunado, Juncal & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility spillovers across global asset classes: Evidence from time and frequency domains," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 194-202.
    8. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    9. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    10. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    11. Wang, Kun & Gong, Qiang & Fu, Xiaowen & Fan, Xingli, 2014. "Frequency and aircraft size dynamics in a concentrated growth market: The case of the Chinese domestic market," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 50-58.
    12. Switzer, Lorne N., 2010. "The behaviour of small cap vs. large cap stocks in recessions and recoveries: Empirical evidence for the United States and Canada," The North American Journal of Economics and Finance, Elsevier, vol. 21(3), pages 332-346, December.
    13. Semenov, Andrei, 2015. "The small-cap effect in the predictability of individual stock returns," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 178-197.
    14. Wang, Xunxiao & Wang, Yudong, 2019. "Volatility spillovers between crude oil and Chinese sectoral equity markets: Evidence from a frequency dynamics perspective," Energy Economics, Elsevier, vol. 80(C), pages 995-1009.
    15. Huang, Wei, 2007. "Financial integration and the price of world covariance risk: Large- vs. small-cap stocks," Journal of International Money and Finance, Elsevier, vol. 26(8), pages 1311-1337, December.
    16. Elias, Christopher J., 2016. "Asset pricing with expectation shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 68-82.
    17. Moon K. Kim & David A. Burnie, 2002. "The Firm Size Effect and the Economic Cycle," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 25(1), pages 111-124, March.
    18. Eun, Cheol S. & Huang, Wei & Lai, Sandy, 2008. "International Diversification with Large- and Small-Cap Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 489-524, June.
    19. Maghyereh, Aktham I. & Abdoh, Hussein & Awartani, Basel, 2019. "Connectedness and hedging between gold and Islamic securities: A new evidence from time-frequency domain approaches," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 13-28.
    20. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    21. Underwood, Shane, 2009. "The cross-market information content of stock and bond order flow," Journal of Financial Markets, Elsevier, vol. 12(2), pages 268-289, May.
    22. Sensoy, Ahmet, 2017. "Firm size, ownership structure, and systematic liquidity risk: The case of an emerging market," Journal of Financial Stability, Elsevier, vol. 31(C), pages 62-80.
    23. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2020. "Spillovers and co-movements between precious metals and energy markets: Implications on portfolio management," Resources Policy, Elsevier, vol. 69(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Harshit GURANI, 2023. "Predicting Stock Performance in Indian Mid-Cap and Small-Cap Firms: An Exploration of Financial Ratios Through Logistic Regression Analysis," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(9), pages 56-63, September.
    2. Nassar S. Al-Nassar, 2023. "The Dynamic Return and Volatility Spillovers among Size-Based Stock Portfolios in the Saudi Market and Their Portfolio Management Implications during Different Crises," IJFS, MDPI, vol. 11(3), pages 1-30, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    2. Xie He & Tetsuya Takiguchi & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Spillover effects between energies, gold, and stock: the United States versus China," Energy & Environment, , vol. 31(8), pages 1416-1447, December.
    3. Mukhriz Izraf Azman Aziz & Norzalina Ahmad & Jin Zichu & Safwan Mohd Nor, 2022. "The Impact of COVID-19 on the Connectedness of Stock Index in ASEAN+3 Economies," Mathematics, MDPI, vol. 10(9), pages 1-22, April.
    4. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers," Journal of Financial Markets, Elsevier, vol. 27(C), pages 55-78.
    5. Neharika Sobti, 2018. "Domestic intermarket linkages: measuring dynamic return and volatility connectedness among Indian financial markets," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(4), pages 325-344, December.
    6. Tangyong Liu & Xu Gong & Boqiang Lin, 2021. "Analyzing the frequency dynamics of volatility spillovers across precious and industrial metal markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1375-1396, September.
    7. Tiantian Liu & Shigeyuki Hamori, 2020. "Spillovers to Renewable Energy Stocks in the US and Europe: Are They Different?," Energies, MDPI, vol. 13(12), pages 1-28, June.
    8. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    9. Hachicha, Néjib & Ben Amar, Amine & Ben Slimane, Ikrame & Bellalah, Makram & Prigent, Jean-Luc, 2022. "Dynamic connectedness and optimal hedging strategy among commodities and financial indices," International Review of Financial Analysis, Elsevier, vol. 83(C).
    10. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.
    11. Ngene, Geoffrey M., 2021. "What drives dynamic connectedness of the U.S equity sectors during different business cycles?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    12. Iwanicz-Drozdowska, Małgorzata & Rogowicz, Karol & Kurowski, Łukasz & Smaga, Paweł, 2021. "Two decades of contagion effect on stock markets: Which events are more contagious?," Journal of Financial Stability, Elsevier, vol. 55(C).
    13. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    14. Muneer Shaik & Mohd Ziaur Rehman, 2023. "The Dynamic Volatility Connectedness of Major Environmental, Social, and Governance (ESG) Stock Indices: Evidence Based on DCC-GARCH Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 231-246, March.
    15. Brož, Václav & Kočenda, Evžen, 2022. "Mortgage-related bank penalties and systemic risk among U.S. banks," Journal of International Money and Finance, Elsevier, vol. 122(C).
    16. Fowowe, Babajide & Shuaibu, Mohammed, 2016. "Dynamic spillovers between Nigerian, South African and international equity markets," International Economics, Elsevier, vol. 148(C), pages 59-80.
    17. Dai, Zhifeng & Zhu, Haoyang, 2023. "Dynamic risk spillover among crude oil, economic policy uncertainty and Chinese financial sectors," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 421-450.
    18. Fang, Yi & Jing, Zhongbo & Shi, Yukun & Zhao, Yang, 2021. "Financial spillovers and spillbacks: New evidence from China and G7 countries," Economic Modelling, Elsevier, vol. 94(C), pages 184-200.
    19. Ziadat, Salem Adel & Herbst, Patrick & McMillan, David G., 2020. "Inter- and intra-regional stock market relations for the GCC bloc," Research in International Business and Finance, Elsevier, vol. 54(C).
    20. Guo, Li-Yang & Feng, Chao, 2021. "Are there spillovers among China's pilots for carbon emission allowances trading?," Energy Economics, Elsevier, vol. 103(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:14:y:2021:i:11:p:531-:d:674249. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.