IDEAS home Printed from https://ideas.repec.org/a/rfb/journl/v01y2009i1p027-034.html
   My bibliography  Save this article

Exploring the Link between Idiosyncratic and Fundamental Indicators. Evidence on CEE Corporate Segment

Author

Listed:
  • Cristina Maria Triandafil

    (Academia de Studii Economice / Facultatea de Finante, Asigurari, Banci si Burse de Valori)

  • Petre Brezeanu

    (Academia de Studii Economice / Facultatea de Finante, Asigurari, Banci si Burse de Valori)

Abstract

This paper explores the link between idiosyncratic and fundamental dimensions of the corporate finance within CEE countries. We elaborate a Vector Error Correction Model integrating both idiosyncratic and macro related indicators. We expect idiosyncratic variables to be closely related to the macro fudamentals and we anticipate the sign of the relation. Conclusions regarding the long term relationship between these variables differ by country from the perspective of the way the macro related variables enter the cointegration equations. The impact is different according to the peculiarities of the macroeconomic architecture.

Suggested Citation

  • Cristina Maria Triandafil & Petre Brezeanu, 2009. "Exploring the Link between Idiosyncratic and Fundamental Indicators. Evidence on CEE Corporate Segment," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 1(1), pages 027-034, December.
  • Handle: RePEc:rfb:journl:v:01:y:2009:i:1:p:027-034
    as

    Download full text from publisher

    File URL: http://www.rfb.ase.ro/articole/RFB6.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    2. Jorge A Chan-Lau, 2006. "Fundamentals-Based Estimation of Default Probabilities - A Survey," IMF Working Papers 2006/149, International Monetary Fund.
    3. Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2005. "Exploring interactions between real activity and the financial stance," Journal of Financial Stability, Elsevier, vol. 1(3), pages 308-341, April.
    4. Jonathan B. Berk & Richard Stanton & Josef Zechner, 2010. "Human Capital, Bankruptcy, and Capital Structure," Journal of Finance, American Finance Association, vol. 65(3), pages 891-926, June.
    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. Per Asberg Sommar & Hovick Shahnazarian, 2009. "Interdependencies between Expected Default Frequency and the Macro Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 83-110, September.
    2. Åsberg Sommar, Per & Shahnazarian, Hovick, 2008. "Macroeconomic Impact on Expected Default Frequency," Working Paper Series 219, Sveriges Riksbank (Central Bank of Sweden).
    3. Antonella Foglia, 2009. "Stress Testing Credit Risk: A Survey of Authorities' Aproaches," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 9-45, September.
    4. Claudio Borio & Mathias Drehmann, 2011. "Toward an Operational Framework for Financial Stability: “Fuzzy” Measurement and Its Consequences," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 4, pages 063-123, Central Bank of Chile.
    5. Filipe, Sara Ferreira & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Forecasting distress in European SME portfolios," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 112-135.
    6. Tor Jacobson & Jesper Lindé & Kasper Roszbach, 2013. "Firm Default And Aggregate Fluctuations," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 945-972, August.
    7. Dovern, Jonas & Meier, Carsten-Patrick & Vilsmeier, Johannes, 2010. "How resilient is the German banking system to macroeconomic shocks?," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1839-1848, August.
    8. Marco Gross & Javier Población, 2019. "Implications of Model Uncertainty for Bank Stress Testing," Journal of Financial Services Research, Springer;Western Finance Association, vol. 55(1), pages 31-58, February.
    9. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    10. Bolt, Wilko & de Haan, Leo & Hoeberichts, Marco & van Oordt, Maarten R.C. & Swank, Job, 2012. "Bank profitability during recessions," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2552-2564.
    11. Bo Jiang & Bruce Philp & Zhongmin Wu, 2018. "Macro stress testing in the banking system of China," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(4), pages 287-298, November.
    12. Schou-Zibell, Lotte & Albert, Jose Ramon & Song, Lei Lei, 2010. "A Macroprudential Framework for Monitoring and Examining Financial Soundness," Working Papers on Regional Economic Integration 43, Asian Development Bank.
    13. C, Loran & Eckbo, Espen & Lu, Ching-Chih, 2014. "Does Executive Compensation Reflect Default Risk?," UiS Working Papers in Economics and Finance 2014/11, University of Stavanger.
    14. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    15. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    16. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    17. Ke Wang & Darrell Duffie, 2004. "Multi-Period Corporate Failure Prediction With Stochastic Covariates," Econometric Society 2004 Far Eastern Meetings 747, Econometric Society.
    18. Camelia M. Kuhnen & Paul Oyer, 2016. "Exploration for Human Capital: Evidence from the MBA Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 255-286.
    19. Bertay, Ata Can & Uras, Burak R., 2020. "Leverage, bank employee compensation and institutions," Journal of Banking & Finance, Elsevier, vol. 111(C).
    20. Matthias Efing & Harald Hau & Patrick Kampkktter & Jean-Charles Rochet, 2018. "Bank Bonus Pay as a Risk Sharing Contract," Working Papers hal-01847442, HAL.

    More about this item

    Keywords

    idiosyncratic variables; macroeconomic;

    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:rfb:journl:v:01:y:2009:i:1:p:027-034. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tatu Lucian). General contact details of provider: https://edirc.repec.org/data/ffasero.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.