IDEAS home Printed from https://ideas.repec.org/a/usg/auswrt/202373011-32.html
   My bibliography  Save this article

How fares the "commanding heights" of the Swiss economy? Evidence from the Crux of Capitalism project

Author

Listed:
  • Magaly Abboud
  • Fabio Bernasconi
  • Sára Czégé
  • Camilla Erencin
  • Simon J. Evenett
  • Felix Reitz

Abstract

The track record of Swiss publicly listed companies in creating economic value is assessed, along with their propensity to experience corporate distress. This assessment is conducted both in absolute terms and relative to foreign peers for the years 2005 to 2022. Established measures of corporate distress are augmented by a specially constructed economic profits measure assembled from quarterly financial reports. While on average Swiss firms perform better in economic profit terms than rivals from neighboring countries, there are doubts as to whether Swiss firms can generate higher levels of economic profit in the future, especially as the cost of capital is rising.

Suggested Citation

  • Magaly Abboud & Fabio Bernasconi & Sára Czégé & Camilla Erencin & Simon J. Evenett & Felix Reitz, 2023. "How fares the "commanding heights" of the Swiss economy? Evidence from the Crux of Capitalism project," Aussenwirtschaft, University of St. Gallen, School of Economics and Political Science, Swiss Institute for International Economics and Applied Economics Research, vol. 73(01), pages 1-32, December.
    • Handle: RePEc:usg:auswrt:2023:73:01:1-32
    as

    Download full text from publisher

    File URL: http://ux-tauri.unisg.ch/RePEc/usg/auswrt/AW_73-01__01_Abboud_etal.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ricardo J. Caballero & Takeo Hoshi & Anil K. Kashyap, 2008. "Zombie Lending and Depressed Restructuring in Japan," American Economic Review, American Economic Association, vol. 98(5), pages 1943-1977, December.
    2. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    3. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    4. Ryan Niladri Banerjee & Boris Hofmann, 2018. "The rise of zombie firms: causes and consequences," BIS Quarterly Review, Bank for International Settlements, September.
    5. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    6. Mingarelli, Luca & Ravanetti, Beatrice & Shakir, Tamarah & Wendelborn, Jonas, 2022. "Dawn of the (half) dead: the twisted world of zombie identification," Working Paper Series 2743, European Central Bank.
    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. Qiao, Lu & Fei, Junjun, 2022. "Government subsidies, enterprise operating efficiency, and “stiff but deathless” zombie firms," Economic Modelling, Elsevier, vol. 107(C).
    2. Álvarez, Laura & García-Posada, Miguel & Mayordomo, Sergio, 2023. "Distressed firms, zombie firms and zombie lending: A taxonomy," Journal of Banking & Finance, Elsevier, vol. 149(C).
    3. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    4. Maria H. Kim & Graham Partington, 2015. "Dynamic forecasts of financial distress of Australian firms," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 135-160, February.
    5. Koresh Galil & Neta Gilat, 2019. "Predicting Default More Accurately: To Proxy or Not to Proxy for Default?," International Review of Finance, International Review of Finance Ltd., vol. 19(4), pages 731-758, December.
    6. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    7. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    8. Ruey-Ching Hwang & Huimin Chung & Jiun-Yi Ku, 2013. "Predicting Recurrent Financial Distresses with Autocorrelation Structure: An Empirical Analysis from an Emerging Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 43(3), pages 321-341, June.
    9. Hamid Waqas & Rohani Md-Rus, 2018. "Predicting financial distress: Applicability of O-score model for Pakistani firms," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(2), pages 389-401, April.
    10. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, vol. 102(2), pages 233-250.
    11. Ye, Qing & Wu, Yuliang & Liu, Jia, 2019. "Institutional preferences, demand shocks and the distress anomaly," The British Accounting Review, Elsevier, vol. 51(1), pages 72-91.
    12. Asis, Gonzalo & Chari, Anusha & Haas, Adam, 2021. "In search of distress risk in emerging markets," Journal of International Economics, Elsevier, vol. 131(C).
    13. Lyandres, Evgeny & Zhdanov, Alexei, 2013. "Investment opportunities and bankruptcy prediction," Journal of Financial Markets, Elsevier, vol. 16(3), pages 439-476.
    14. Ken Li, 2024. "Liquidity ratios and corporate failures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 1111-1134, March.
    15. Alexander Hölzl & Sebastian Lobe, 2016. "Predicting above-median and below-median growth rates," Review of Managerial Science, Springer, vol. 10(1), pages 105-133, January.
    16. Tao, Qizhi & Chen, Carl & Lu, Rui & Zhang, Ting, 2017. "Underfunding or distress? An analysis of corporate pension underfunding and the cross-section of expected stock returns," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 116-133.
    17. Ilyes Abid & Farid Mkaouar & Olfa Kaabia, 2018. "Dynamic analysis of the forecasting bankruptcy under presence of unobserved heterogeneity," Annals of Operations Research, Springer, vol. 262(2), pages 241-256, March.
    18. Chris Godfrey & Chris Brooks, 2015. "The Negative Credit Risk Premium Puzzle: A Limits to Arbitrage Story," ICMA Centre Discussion Papers in Finance icma-dp2015-07, Henley Business School, University of Reading.
    19. Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
    20. Aggarwal, Nidhi & Singh, Manish K. & Thomas, Susan, 2023. "Do decreases in Distance-to-Default predict rating downgrades?," Economic Modelling, Elsevier, vol. 129(C).

    More about this item

    Keywords

    economic profits; economic value creation; corporate distress; bankruptcy; Switzerland;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:usg:auswrt:2023:73:01:1-32. 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: Stefan Legge (email available below). General contact details of provider: https://edirc.repec.org/data/siasrch.html .

    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.