IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v60y2024ics1544612323012321.html
   My bibliography  Save this article

Financial shocks, investor sentiment, and heterogeneous firms’ output volatility: Evidence from credit asset securitization markets

Author

Listed:
  • Li, Jia
  • Yang, Jianfei

Abstract

Continuous improvement of the financial system and securities assets represented by bonds is emerging as the main direction of enterprises financialization. Therefore, this study finds that financial shocks lead to higher output volatility of heterogeneous firms and that the negative effect is strengthened by investor sentiment. The findings offer practical guidance for firms to observe financial shocks and investor sentiment.

Suggested Citation

  • Li, Jia & Yang, Jianfei, 2024. "Financial shocks, investor sentiment, and heterogeneous firms’ output volatility: Evidence from credit asset securitization markets," Finance Research Letters, Elsevier, vol. 60(C).
  • Handle: RePEc:eee:finlet:v:60:y:2024:i:c:s1544612323012321
    DOI: 10.1016/j.frl.2023.104860
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323012321
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104860?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Sattarhoff, Cristina & Gronwald, Marc, 2022. "Measuring informational efficiency of the European carbon market — A quantitative evaluation of higher order dependence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    2. Vadim Elenev & Tim Landvoigt & Stijn Van Nieuwerburgh, 2021. "A Macroeconomic Model With Financially Constrained Producers and Intermediaries," Econometrica, Econometric Society, vol. 89(3), pages 1361-1418, May.
    3. Chen, Shiyi & Jefferson, Gary H. & Zhang, Jun, 2011. "Structural change, productivity growth and industrial transformation in China," China Economic Review, Elsevier, vol. 22(1), pages 133-150, March.
    4. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
    5. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
    6. Mallick, Sushanta K. & Sousa, Ricardo M., 2013. "The real effects of financial stress in the Eurozone," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 1-17.
    7. Akbar, Saeed & Rehman, Shafiq ur & Ormrod, Phillip, 2013. "The impact of recent financial shocks on the financing and investment policies of UK private firms," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 59-70.
    8. Philippas, Nikolaos & Economou, Fotini & Babalos, Vassilios & Kostakis, Alexandros, 2013. "Herding behavior in REITs: Novel tests and the role of financial crisis," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 166-174.
    9. Chiranjivi, GVS & Sensarma, Rudra, 2023. "The effects of economic and financial shocks on private investment: A wavelet study of return and volatility spillovers," International Review of Financial Analysis, Elsevier, vol. 90(C).
    10. Dias, Ishanka K. & Fernando, J.M. Ruwani & Fernando, P. Narada D., 2022. "Does investor sentiment predict bitcoin return and volatility? A quantile regression approach," International Review of Financial Analysis, Elsevier, vol. 84(C).
    11. Chen, Rongda & Wang, Shengnan & Jin, Chenglu & Yu, Jingjing & Zhang, Xinyu & Zhang, Shuonan, 2023. "Comovements between multidimensional investor sentiment and returns on internet financial products," International Review of Financial Analysis, Elsevier, vol. 85(C).
    12. Shahzad, Syed Jawad Hussain & Kyei, Clement Kweku & Gupta, Rangan & Olson, Eric, 2021. "Investor sentiment and dollar-pound exchange rate returns: Evidence from over a century of data using a cross-quantilogram approach," Finance Research Letters, Elsevier, vol. 38(C).
    Full references (including those not matched with items on IDEAS)

    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. Ghosh, Indranil & Alfaro-Cortés, Esteban & Gámez, Matías & García-Rubio, Noelia, 2024. "Reflections of public perception of Russia-Ukraine conflict and Metaverse on the financial outlook of Metaverse coins: Fresh evidence from Reddit sentiment analysis," International Review of Financial Analysis, Elsevier, vol. 93(C).
    2. Su, Yuandong & Lu, Xinjie & Zeng, Qing & Huang, Dengshi, 2022. "Good air quality and stock market returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    3. Fernández de Guevara, Juan & Maudos, Joaquín & Salvador, Carlos, 2021. "Effects of the degree of financial constraint and excessive indebtedness on firms’ investment decisions," Journal of International Money and Finance, Elsevier, vol. 110(C).
    4. Vassilios Babalos & Mehmet Balcilar & Rangan Gupta, 2014. "Revisiting Herding Behavior in REITs: A Regime-Switching Approach," Working Papers 201448, University of Pretoria, Department of Economics.
    5. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    6. Lubello, Federico & Petrella, Ivan & Santoro, Emiliano, 2019. "Bank assets, liquidity and credit cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 265-282.
    7. Mendicino, Caterina & Nikolov, Kalin & Ramirez, Juan-Rubio & Suarez, Javier & Supera, Dominik, 2020. "Twin defaults and bank capital requirements," Working Paper Series 2414, European Central Bank.
    8. Fang Yang & Qinfan Gan, 2024. "Effect of Energy Poverty Alleviation on High-Quality Economic Development: An Empirical Study Based on China," Energies, MDPI, vol. 17(20), pages 1-17, October.
    9. Greg Buchak & Gregor Matvos & Tomasz Piskorski & Amit Seru, 2024. "Aggregate Lending and Modern Financial Intermediation: Why Bank Balance Sheet Models Are Miscalibrated," NBER Macroeconomics Annual, University of Chicago Press, vol. 38(1), pages 239-287.
    10. Ambrocio, Gene & Hasan, Iftekhar & Jokivuolle, Esa & Ristolainen, Kim, 2020. "Are bank capital requirements optimally set? Evidence from researchers’ views," Journal of Financial Stability, Elsevier, vol. 50(C).
    11. Liang, Chao & Xu, Yongan & Wang, Jianqiong & Yang, Mo, 2022. "Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns," International Review of Financial Analysis, Elsevier, vol. 82(C).
    12. Zhu, Junpeng & Lin, Boqiang, 2022. "Resource dependence, market-oriented reform, and industrial transformation: Empirical evidence from Chinese cities," Resources Policy, Elsevier, vol. 78(C).
    13. Omokolade Akinsomi & Yener Coskun & Rangan Gupta & Chi Keung Marco Lau, 2016. "Impact of Volatility and Equity Market Uncertainty on Herd Behavior: Evidence from UK REITs," Working Papers 201688, University of Pretoria, Department of Economics.
    14. Reiter, Michael & Zessner-Spitzenberg, Leopold, 2023. "Long-term bank lending and the transfer of aggregate risk," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    15. Villacorta, Alonso, 2018. "Business cycles and the balance sheets of the financial and non-financial sectors," ESRB Working Paper Series 68, European Systemic Risk Board.
    16. Heejeong Kim, 2022. "Inequality, Disaster risk, and the Great Recession," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 187-216, July.
    17. Guangling Liu & Thabang Molise, 2020. "The Optimal Monetary and Macroprudential Policies for the South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 88(3), pages 368-404, September.
    18. Azzimonti, Marina & Yared, Pierre, 2019. "The optimal public and private provision of safe assets," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 126-144.
    19. Dan Cao & Wenlan Luo & Guangyu Nie, 2023. "Global GDSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 199-225, December.
    20. Segura, Anatoli & Villacorta, Alonso, 2023. "Firm-bank linkages and optimal policies after a rare disaster," Journal of Financial Economics, Elsevier, vol. 149(2), pages 296-322.

    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:finlet:v:60:y:2024:i:c:s1544612323012321. 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/frl .

    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.