IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v64y2024ics1544612324004884.html
   My bibliography  Save this article

Decoding financial performance of US-listed entities: A sectoral exploration of input efficiency amid stochastic volatility

Author

Listed:
  • Andrews, Antony
  • Kumar, Nikeel Nishkar

Abstract

This study explores the complex relationship between firm efficiency and stochastic volatility, focusing on how firms utilise inputs to generate sales and the impact of financial shocks on efficiency levels. Utilising a dataset of 476 U.S. firms across 23 sectors from 2010 to 2022, it integrates stochastic volatility into efficiency analysis, treating volatility as an evolving, unobserved process diverging from traditional methods. The research classifies sectors into various efficiency performance categories based on their response to economic fluctuations. Findings show divergent patterns across sectors, with some exhibiting consistent efficiency and others facing erratic performance due to market and technological changes. This analysis provides valuable insights into sectoral adaptability and resilience in fluctuating economic conditions, offering strategic implications for managers and policymakers.

Suggested Citation

  • Andrews, Antony & Kumar, Nikeel Nishkar, 2024. "Decoding financial performance of US-listed entities: A sectoral exploration of input efficiency amid stochastic volatility," Finance Research Letters, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:finlet:v:64:y:2024:i:c:s1544612324004884
    DOI: 10.1016/j.frl.2024.105458
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324004884
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2024.105458?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. Jon Danielsson & Marcela Valenzuela & Ilknur Zer, 2018. "Learning from History: Volatility and Financial Crises," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2774-2805.
    2. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    3. Lucia Foster & John Haltiwanger & Chad Syverson, 2008. "Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability?," American Economic Review, American Economic Association, vol. 98(1), pages 394-425, March.
    4. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
    5. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    6. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    7. Peter Demerjian & Baruch Lev & Sarah McVay, 2012. "Quantifying Managerial Ability: A New Measure and Validity Tests," Management Science, INFORMS, vol. 58(7), pages 1229-1248, July.
    8. Hutton, Amy P. & Marcus, Alan J. & Tehranian, Hassan, 2009. "Opaque financial reports, R2, and crash risk," Journal of Financial Economics, Elsevier, vol. 94(1), pages 67-86, October.
    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. Bui, Dien Giau & Chen, Yehning & Chen, Yan-Shing & Lin, Chih-Yung, 2023. "Managerial ability and financial statement disaggregation decisions," Journal of Empirical Finance, Elsevier, vol. 74(C).
    2. Lee, Sangho & Lee, Sejoong & Ryu, Ji Yeon, 2021. "Do Competent Managers Hoard Bad News? Self-regulation Theory and Korean Evidence," Finance Research Letters, Elsevier, vol. 41(C).
    3. An, Suwei, 2023. "Essays on incentive contracts, M&As, and firm risk," Other publications TiSEM dd97d2f5-1c9d-47c5-ba62-f, Tilburg University, School of Economics and Management.
    4. Thomas R. Kubick & G. Brandon Lockhart, 2021. "Industry tournament incentives and stock price crash risk," Financial Management, Financial Management Association International, vol. 50(2), pages 345-369, June.
    5. Habib, Ahsan & Hasan, Mostafa Monzur, 2017. "Managerial ability, investment efficiency and stock price crash risk," Research in International Business and Finance, Elsevier, vol. 42(C), pages 262-274.
    6. Chen, Yangyang & Fan, Qingliang & Yang, Xin & Zolotoy, Leon, 2021. "CEO early-life disaster experience and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 68(C).
    7. Kim, Jeong-Bon & Liao, Shushu & Liu, Yangke, 2021. "Married CEOs and Stock Price Crash Risk," QBS Working Paper Series 2021/09, Queen's University Belfast, Queen's Business School.
    8. Surendranath Jory & Thanh Ngo & Hongxia Wang, 2021. "Non‐operating earnings and firm risk," Review of Financial Economics, John Wiley & Sons, vol. 39(1), pages 95-123, January.
    9. Li, Yi & Wang, Pengfei & Zhang, Wei, 2023. "Does online interaction between firms and investors reduce stock price crash risk?," The British Accounting Review, Elsevier, vol. 55(4).
    10. Wang, Qian & Shen, Jianghua & Ngai, Eric W.T., 2023. "Does corporate diversification strategy affect stock price crash risk?," International Journal of Production Economics, Elsevier, vol. 258(C).
    11. Liu, Xiaojun & Ma, Yong & Xu, Zhongyue, 2024. "Economic policy uncertainty, risk perception and stock price crash risk: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 865-876.
    12. Soo Yeon Park & Hoon Jung, 2017. "The Effect of Managerial Ability on Future Stock Price Crash Risk: Evidence from Korea," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    13. Chowdhury, Hasibul & Hodgson, Allan & Pathan, Shams, 2020. "Do external labour market incentives constrain bad news hoarding? The CEO's industry tournament and crash risk reduction," Journal of Corporate Finance, Elsevier, vol. 65(C).
    14. Wei, Lang & Zhang, Yiling, 2023. "Nonfinancial indicators in identifying stock price crash risk," Finance Research Letters, Elsevier, vol. 52(C).
    15. Leye Li & Louise Yi Lu & Dongyue Wang, 2022. "External labour market competitions and stock price crash risk: evidence from exposures to competitor CEOs’ award‐winning events," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1421-1460, April.
    16. Loureiro, Gilberto & Silva, Sónia, 2022. "Earnings management and stock price crashes post U.S. cross-delistings," International Review of Financial Analysis, Elsevier, vol. 82(C).
    17. Abd El-Rahman M. Selmy & Khairy A. El-Giziry, 2016. "On the Informational Role of Delayed Good News: A Firm-Level Crash Risk Evidence from Egypt," Accounting and Finance Research, Sciedu Press, vol. 5(3), pages 1-44, August.
    18. Ben-Nasr, Hamdi & Ghouma, Hatem, 2018. "Employee welfare and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 700-725.
    19. Battaglia, Francesca & Buchanan, Bonnie G. & Fiordelisi, Franco & Ricci, Ornella, 2021. "Securitization and crash risk: Evidence from large European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    20. Bing Wang & Kung‐Cheng Ho & Xinyu Liu & Yan Gu, 2022. "Industry cash flow volatility and stock price crash risk," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(2), pages 356-371, March.

    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:64:y:2024:i:c:s1544612324004884. 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.