IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v143y2025ics0140988325001148.html

A critique of the inappropriate interpretation of the quantile connectedness approach by Ando et al. (2022)

Author

Listed:
  • Tripathi, Abhinava
  • Jha, Ravi Raushan
  • Vadhava, Charu

Abstract

Recently, there has been an exponential rise in the studies examining quantile connectedness across the conditional quantiles of volatility, following the seminal work of Ando et al. (2022). Our article conducts a literature review of several such studies from reputable journals that incorrectly interpret the results from volatility connectedness across the conditional quantiles. More specifically, these studies incorrectly relate lower quantiles of volatility to extreme adverse (or bearish) conditions and upper quantiles of volatility to upmarket (or bullish) conditions. Our literature review shows that, once the correct interpretation of conditional quantiles of volatility is imposed, many of these studies' novel and surprising results become consistent with the prior literature.

Suggested Citation

  • Tripathi, Abhinava & Jha, Ravi Raushan & Vadhava, Charu, 2025. "A critique of the inappropriate interpretation of the quantile connectedness approach by Ando et al. (2022)," Energy Economics, Elsevier, vol. 143(C).
  • Handle: RePEc:eee:eneeco:v:143:y:2025:i:c:s0140988325001148
    DOI: 10.1016/j.eneco.2025.108291
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325001148
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2025.108291?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Le, Trung H. & Pham, Linh & Do, Hung X., 2023. "Price risk transmissions in the water-energy-food nexus: Impacts of climate risks and portfolio implications," Energy Economics, Elsevier, vol. 124(C).
    3. Chishti, Muhammad Zubair & Sinha, Avik & Zaman, Umer & Shahzad, Umer, 2023. "Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk," Energy Economics, Elsevier, vol. 119(C).
    4. Wang, Jialu & Mishra, Shekhar & Sharif, Arshian & Chen, Huangen, 2024. "Dynamic spillover connectedness among green finance and policy uncertainty: Evidence from QVAR network approach," Energy Economics, Elsevier, vol. 131(C).
    5. Gong, Xiao-Li & Zhao, Min & Wu, Zhuo-Cheng & Jia, Kai-Wen & Xiong, Xiong, 2023. "Research on tail risk contagion in international energy markets—The quantile time-frequency volatility spillover perspective," Energy Economics, Elsevier, vol. 121(C).
    6. 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.
    7. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2023. "Natural gas and the utility sector nexus in the U.S.: Quantile connectedness and portfolio implications," Energy Economics, Elsevier, vol. 120(C).
    8. Bryan Kelly & Hao Jiang, 2014. "Editor's Choice Tail Risk and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 27(10), pages 2841-2871.
    9. Yousaf, Imran & Nekhili, Ramzi & Umar, Muhammad, 2025. "Corrigendum to “Extreme connectedness between renewable energy tokens and fossil fuel markets” [Energy Economics Volume 114, October 2022, 106305]," Energy Economics, Elsevier, vol. 149(C).
    10. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    11. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Adewuyi, Adeolu O. & Lee, Chien-Chiang, 2022. "Quantile risk spillovers between energy and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Energy Economics, Elsevier, vol. 113(C).
    12. Ziadat, Salem Adel & Mensi, Walid & Al-Kharusi, Sami & Vo, Xuan Vinh & Kang, Sang Hoon, 2024. "Are clean energy markets hedges for stock markets? A tail quantile connectedness regression," Energy Economics, Elsevier, vol. 136(C).
    13. Wang, Kai-Hua & Wang, Zu-Shan & Yunis, Manal & Kchouri, Bilal, 2023. "Spillovers and connectedness among climate policy uncertainty, energy, green bond and carbon markets: A global perspective," Energy Economics, Elsevier, vol. 128(C).
    14. Saeed, Tareq & Bouri, Elie & Alsulami, Hamed, 2021. "Extreme return connectedness and its determinants between clean/green and dirty energy investments," Energy Economics, Elsevier, vol. 96(C).
    15. Imran, Zulfiqar Ali & Ahad, Muhammad & Shahzad, Khurram & Ahmad, Mobeen & Hameed, Imran, 2024. "Safe haven properties of industrial stocks against ESG in the United States: Portfolio implication for sustainable investments," Energy Economics, Elsevier, vol. 136(C).
    16. Rao, Amar & Lucey, Brian & Kumar, Satish & Lim, Weng Marc, 2025. "Corrigendum to “Do green energy markets catch cold when conventional energy markets sneeze?” [Energy Economics Volume 127, Part A, November 2023, 107035]," Energy Economics, Elsevier, vol. 148(C).
    17. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    18. Ahad, Muhammad & Imran, Zulfiqar Ali & Shahzad, Khurram, 2024. "Safe haven between European ESG and energy sector under Russian-Ukraine war: Role of sustainable investments for portfolio diversification," Energy Economics, Elsevier, vol. 138(C).
    19. Asadi, Mehrad & Roudari, Soheil & Tiwari, Aviral Kumar & Roubaud, David, 2023. "Scrutinizing commodity markets by quantile spillovers: A case study of the Australian economy," Energy Economics, Elsevier, vol. 118(C).
    20. Wen, Xiaoqian & Wei, Yu & Huang, Dengshi, 2012. "Measuring contagion between energy market and stock market during financial crisis: A copula approach," Energy Economics, Elsevier, vol. 34(5), pages 1435-1446.
    21. Bai, Lan & Wei, Yu & Zhang, Jiahao & Wang, Yizhi & Lucey, Brian M., 2023. "Diversification effects of China's carbon neutral bond on renewable energy stock markets: A minimum connectedness portfolio approach," Energy Economics, Elsevier, vol. 123(C).
    22. Kyriazis, Nikolaos & Corbet, Shaen, 2024. "Evaluating the dynamic connectedness of financial assets and bank indices during black-swan events: A Quantile-VAR approach," Energy Economics, Elsevier, vol. 131(C).
    23. Wang, Jianuo & Enilov, Martin & Kizys, Renatas, 2024. "Does M&A activity spin the cycle of energy prices?," Energy Economics, Elsevier, vol. 137(C).
    24. Andriosopoulos, Kostas & Galariotis, Emilios & Spyrou, Spyros, 2017. "Contagion, volatility persistence and volatility spill-overs: The case of energy markets during the European financial crisis," Energy Economics, Elsevier, vol. 66(C), pages 217-227.
    25. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    26. Rizvi, Syed Kumail Abbas & Naqvi, Bushra & Mirza, Nawazish & Umar, Muhammad, 2022. "Safe haven properties of green, Islamic, and crypto assets and investor's proclivity towards treasury and gold," Energy Economics, Elsevier, vol. 115(C).
    27. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    28. Pham, Linh & Hao, Wei & Truong, Ha & Trinh, Hai Hong, 2023. "The impact of climate policy on U.S. environmentally friendly firms: A firm-level examination of stock return, volatility, volume, and connectedness," Energy Economics, Elsevier, vol. 119(C).
    29. Do, Hung Xuan & Nepal, Rabindra & Pham, Son Duy & Jamasb, Tooraj, 2024. "Electricity market crisis in Europe and cross border price effects: A quantile return connectedness analysis," Energy Economics, Elsevier, vol. 135(C).
    30. Zhou, Yuqin & Wu, Shan & Zhang, Zeyi, 2022. "Multidimensional risk spillovers among carbon, energy and nonferrous metals markets: Evidence from the quantile VAR network," Energy Economics, Elsevier, vol. 114(C).
    31. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    32. Yousaf, Imran & Ijaz, Muhammad Shahzad & Umar, Muhammad & Li, Yanshuang, 2024. "Exploring volatility interconnections between AI tokens, AI stocks, and fossil fuel markets: evidence from time and frequency-based connectedness analysis," Energy Economics, Elsevier, vol. 133(C).
    33. Zhou, Xiaoran & Enilov, Martin & Parhi, Mamata, 2024. "Does oil spin the commodity wheel? Quantile connectedness with a common factor error structure across energy and agricultural markets," Energy Economics, Elsevier, vol. 132(C).
    34. Khan, Nasir & Mejri, Sami & Hammoudeh, Shawkat, 2024. "How do global commodities react to increasing geopolitical risks? New insights into the Russia-Ukraine and Palestine-Israel conflicts," Energy Economics, Elsevier, vol. 138(C).
    35. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2024. "Examining spillovers and connectedness among commodities, inflation, and uncertainty: A quantile-VAR framework," Energy Economics, Elsevier, vol. 133(C).
    36. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    37. Shang, Jin & Hamori, Shigeyuki, 2024. "Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU," Energy Economics, Elsevier, vol. 132(C).
    38. Ghosh, Bikramaditya & Pham, Linh & Teplova, Tamara & Umar, Zaghum, 2023. "COVID-19 and the quantile connectedness between energy and metal markets," Energy Economics, Elsevier, vol. 117(C).
    39. Yuan, Xi & Qin, Meng & Zhong, Yifan & Nicoleta-Claudia, Moldovan, 2023. "Financial roles in green investment based on the quantile connectedness," Energy Economics, Elsevier, vol. 117(C).
    40. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Extreme spillovers among fossil energy, clean energy, and metals markets: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 107(C).
    41. Lei, Heng & Xue, Minggao & Ye, Jing, 2024. "The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time–frequency connectedness and portfolio implications," Energy Economics, Elsevier, vol. 132(C).
    42. Okimoto, Tatsuyoshi, 2008. "New Evidence of Asymmetric Dependence Structures in International Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(3), pages 787-815, September.
    43. Dong, Feng & Li, Zhicheng & Huang, Zihuang & Liu, Yu, 2024. "Extreme weather, policy uncertainty, and risk spillovers between energy, financial, and carbon markets," Energy Economics, Elsevier, vol. 137(C).
    44. Su, Xianfang & He, Jian, 2024. "Quantile connectedness among fintech, carbon future, and energy markets: Implications for hedging and investment strategies," Energy Economics, Elsevier, vol. 139(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. Albores, Isaac, 2025. "Quantile Connectedness and Tail Risks: Interactions between Energy and Agricultural Markets," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360695, Agricultural and Applied Economics Association.
    2. Padhan, Hemachandra & Kocoglu, Mustafa, 2025. "Analysing a frequency and quantile connectedness spillover dynamics nexus: Metals, grains, and energy markets under economic signals," Energy Economics, Elsevier, vol. 147(C).
    3. Mbarek, Marouene, 2025. "Exploring the nexus between sustainable energy tokens, electric vehicles, and the hydrogen economy," Research in International Business and Finance, Elsevier, vol. 77(PB).

    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. Liu, Min & Liu, Hongfei & Ping, Weiying, 2025. "Dynamic spillovers between Shanghai crude oil futures and China's green markets: Evidence from quantile-on-quantile connectedness approach," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 78-93.
    2. Ren, Xiaohang & Li, Jingyao & Duan, Kun & Parhi, Mamata, 2025. "Cross-category spillovers of uncertainties in energy transition: Insights from a full-distributional framework," Energy Economics, Elsevier, vol. 149(C).
    3. Chiappari, Mattia & Scotti, Francesco & Flori, Andrea, 2024. "Market responses to spillovers in the energy commodity markets: Evaluating short-term vs. long-term effects and business-as-usual vs. distressed phases," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    4. Su, Xianfang & Zhao, Yachao, 2023. "What has the strongest connectedness with clean energy? Technology, substitutes, or raw materials," Energy Economics, Elsevier, vol. 128(C).
    5. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2024. "Extreme time-frequency connectedness across U.S. sector stock and commodity futures markets," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 1176-1197.
    6. Enilov, Martin & Delantar, Edna & Parhi, Mamata, 2026. "The predictive effects of Fintech-ESG dynamic interdependence: A global perspective on Cleantech energy transition risk," Energy Economics, Elsevier, vol. 153(C).
    7. Basher, Syed Abul & Sadorsky, Perry, 2024. "Do climate change risks affect the systemic risk between the stocks of clean energy, electric vehicles, and critical minerals? Analysis under changing market conditions," Energy Economics, Elsevier, vol. 138(C).
    8. Lei, Heng & Xue, Minggao & Ye, Jing, 2024. "The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time–frequency connectedness and portfolio implications," Energy Economics, Elsevier, vol. 132(C).
    9. Wang, Wei & Enilov, Martin & Stankov, Petar, 2025. "Can cryptocurrency or gold rescue BRICS stocks amid the Russia-Ukraine conflict?," International Review of Financial Analysis, Elsevier, vol. 104(PA).
    10. Abakah, Emmanuel Joel Aikins & Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Hammoudeh, Shawkat, 2024. "Energy tokens and green energy markets under crisis periods: A quantile downside tail risk dependence analysis," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    11. Wang, Jue & Zhou, Yuqin & Wu, Shan, 2025. "Quantile time-frequency connectedness and portfolio diversification: A study of clean energy and metal markets," Renewable Energy, Elsevier, vol. 238(C).
    12. El Khoury, Rim & Alshater, Muneer M. & Li, Yanshuang & Xiong, Xiong, 2024. "Quantile time-frequency connectedness among G7 stock markets and clean energy markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 71-90.
    13. Yan-Hong Yang & Ying-Hui Shao & Wei-Xing Zhou, 2024. "Russia-Ukraine conflict and the quantile return connectedness of grain futures in the BRICS and international markets," Papers 2409.19307, arXiv.org, revised Aug 2025.
    14. Assaf, Ata & Daia, Roula Al & Charif, Husni & Mokni, Khaled, 2025. "Extreme return connectedness among renewable energy and rare earth markets: The role of global factors," Research in International Business and Finance, Elsevier, vol. 77(PB).
    15. Ustaoglu, Erkan, 2026. "ESG, clean cryptocurrencies, and renewable energy tokens: Asymmetric connectedness and portfolio applications," Research in International Business and Finance, Elsevier, vol. 81(C).
    16. Mensi, Walid & Belghouthi, Houssem Eddine & Al-Kharusi, Sami & Kang, Sang Hoon, 2025. "Tail risk contagion and connectedness between clean cryptocurrency, green assets and commodity markets," International Review of Financial Analysis, Elsevier, vol. 105(C).
    17. Zhou, Xiaoran & Enilov, Martin & Parhi, Mamata, 2024. "Does oil spin the commodity wheel? Quantile connectedness with a common factor error structure across energy and agricultural markets," Energy Economics, Elsevier, vol. 132(C).
    18. Jiang, Dongming & Jia, Fang & Han, Xiaoyu, 2025. "Quantile return and volatility spillovers and drivers among energy, electricity, and cryptocurrency markets," Energy Economics, Elsevier, vol. 144(C).
    19. Wang, Xinya & Rong, Xueyun & Yin, Lei, 2024. "Discerning the impact of global geopolitical risks on China's energy futures market spillovers: Evidence from higher-order moments," Energy Economics, Elsevier, vol. 140(C).
    20. Ahmed, Walid M.A. & Sleem, Mohamed A.E., 2025. "On the dynamic interdependence between risk factors and clean energy stock prices," Resources Policy, Elsevier, vol. 105(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G01 - Financial Economics - - General - - - Financial Crises
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    Statistics

    Access and download statistics

    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:eee:eneeco:v:143:y:2025:i:c:s0140988325001148. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.