IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwedp/2017108.html
   My bibliography  Save this paper

Stock price related financial fragility and growth patterns

Author

Listed:
  • Aßmuth, Pascal

Abstract

The total output of an economy usually follows cyclical movements which are accompanied by similar movements in stock prices. The common explanation relies on the demand side. It points out that stock market wealth drives consumption which triggers production afterwards. This paper focuses on influences via the supply side of the economy. The aim of the paper is to explore channels where stock price patterns influence the amount of credit taken by firms. The author examines trend and volatility cycles on the stock market. There are three channels addressed: the stock market valuation as piece of information for the assessment of a firm's creditworthiness, the influence on restructuring prospects in times of financial distress and the stock market related remuneration of the top management affecting capital demand. He asks to which extent a channel may contribute to the stock price-output relation when there is mutual feedback. A model à la Delli Gatti et al. (A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility, 2005) drives the results. Firms take credit to finance their production which determines their financial fragility. If their stochastic revenue is too low, they are bankrupt and leave the economy. The capital loss hurts the bank's equity base and future credit supply is diminished. This causes business cycles. Results show that if the bank assesses creditworthiness according to the stock price then idiosyncratic stock price fluctuations have only a slight effect as they disturb selection and hinder growth. If stock market optimism matters for bankruptcy ruling the level of stock owners' influence does not matter. If optimism is wide spread among stock investors however, investment behaviour is also correlated through the stock prices and this results in huge real economy cycles without any long-term growth. If volatility is considered in the decision ofmanagers they act more prudently and this fosters growth.

Suggested Citation

  • Aßmuth, Pascal, 2017. "Stock price related financial fragility and growth patterns," Economics Discussion Papers 2017-108, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwedp:2017108
    as

    Download full text from publisher

    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2017-108
    Download Restriction: no

    File URL: https://www.econstor.eu/bitstream/10419/172195/1/1008164356.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brock, William A & LeBaron, Blake D, 1996. "A Dynamic Structural Model for Stock Return Volatility and Trading Volume," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 94-110, February.
    2. Martin Hellwig, 2009. "Systemic Risk in the Financial Sector: An Analysis of the Subprime-Mortgage Financial Crisis," De Economist, Springer, vol. 157(2), pages 129-207, June.
    3. Masanao Aoki & Hiroshi Yoshikawa, 2004. "Demand saturation – creation and economic growth," Chapters, in: Paolo Onofri (ed.), The Economics of an Ageing Population, chapter 4, Edward Elgar Publishing.
    4. Nicola Gennaioli & Stefano Rossi, 2013. "Contractual Resolutions of Financial Distress," The Review of Financial Studies, Society for Financial Studies, vol. 26(3), pages 602-634.
    5. Aoki,Masanao & Yoshikawa,Hiroshi, 2011. "Reconstructing Macroeconomics," Cambridge Books, Cambridge University Press, number 9781107634206.
    6. Mauro Gallegati & Gianfranco Giulioni & Nozomi Kichiji, 2003. "Complex Dynamics And Financial Fragility In An Agent-Based Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 267-282.
    7. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    8. John Y. Campbell & John Cochrane, 1999. "Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 205-251, April.
    9. Vidhan K. Goyal & Takeshi Yamada, 2004. "Asset Price Shocks, Financial Constraints, and Investment: Evidence from Japan," The Journal of Business, University of Chicago Press, vol. 77(1), pages 175-200, January.
    10. John R. Graham & Mark T. Leary, 2011. "A Review of Empirical Capital Structure Research and Directions for the Future," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 309-345, December.
    11. Willman, Alpo & Whelan, Karl & Altissimo, Filippo & Georgiou, Evaggelia & Sastre, Teresa & Valderrama, Maria Teresa & Sterne, Gabriel & Stocker, Marc & Weth, Mark, 2005. "Wealth and asset price effects on economic activity," Occasional Paper Series 29, European Central Bank.
    12. Fabio Fornari & Antonio Mele, 2013. "Financial Volatility and Economic Activity," Journal of Financial Management, Markets and Institutions, Società editrice il Mulino, issue 2, pages 155-198, December.
    13. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    14. Willi Semmler, 2011. "Asset Prices, Booms and Recessions," Springer Books, Springer, number 978-3-642-20680-1, November.
    15. Bongini, Paola & Laeven, Luc & Majnoni, Giovanni, 2002. "How good is the market at assessing bank fragility? A horse race between different indicators," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 1011-1028, May.
    16. Lux, Thomas & Kaizoji, Taisei, 2007. "Forecasting volatility and volume in the Tokyo Stock Market: Long memory, fractality and regime switching," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1808-1843, June.
    17. Michael D. Bordo & John Landon-Lane, 2014. "Does Expansionary Monetary Policy Cause Asset Price Booms? Some Historical and Empirical Evidence," Central Banking, Analysis, and Economic Policies Book Series, in: Sofía Bauducco & Lawrence Christiano & Claudio Raddatz (ed.),Macroeconomic and Financial Stability: challenges for Monetary Policy, edition 1, volume 19, chapter 3, pages 61-116, Central Bank of Chile.
    18. James M. Poterba, 2000. "Stock Market Wealth and Consumption," Journal of Economic Perspectives, American Economic Association, vol. 14(2), pages 99-118, Spring.
    19. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    20. Michel Bordo & John Lando-Lane, 2013. "Does Expansionary Monetary Policy Cause Asset Price Booms? Some Historical and Empirical Evidence," Working Papers Central Bank of Chile 710, Central Bank of Chile.
    21. Randall Morck & Andrei Shleifer & Robert W. Vishny, 1990. "The Stock Market and Investment: Is the Market a Sideshow?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(2), pages 157-216.
    22. Charles P. Kindleberger & Robert Z. Aliber, 2005. "Manias, Panics and Crashes," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-0-230-62804-5.
    23. Paul Beaudry & Franck Portier, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
    24. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    25. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    26. Pradeep Dubey & John Geanakoplos & Martin Shubik, 1988. "Default and Efficiency in a General Equilibrium Model with Incomplete Markets," Cowles Foundation Discussion Papers 879R, Cowles Foundation for Research in Economics, Yale University, revised Feb 1989.
    27. Allen, Franklin & Santomero, Anthony M., 2001. "What do financial intermediaries do?," Journal of Banking & Finance, Elsevier, vol. 25(2), pages 271-294, February.
    28. Andrew G. Haldane & Robert M. May, 2011. "Systemic risk in banking ecosystems," Nature, Nature, vol. 469(7330), pages 351-355, January.
    29. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
    30. Bollerslev, Tim & Jubinski, Dan, 1999. "Equity Trading Volume and Volatility: Latent Information Arrivals and Common Long-Run Dependencies," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 9-21, January.
    31. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
    32. Colin Mayer, 1990. "Financial Systems, Corporate Finance, and Economic Development," NBER Chapters, in: Asymmetric Information, Corporate Finance, and Investment, pages 307-332, National Bureau of Economic Research, Inc.
    33. Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
    34. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, 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. Aßmuth, Pascal, 2015. "Stock price related financial fragility and growth patterns," Center for Mathematical Economics Working Papers 539, Center for Mathematical Economics, Bielefeld University.
    2. Aßmuth, Pascal, 2020. "Stock price related financial fragility and growth patterns," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-34.
    3. Schmitt, Noemi & Westerhoff, Frank, 2014. "Speculative behavior and the dynamics of interacting stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 262-288.
    4. Luis Goncalves de Faria, 2022. "An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation," Papers 2206.09772, arXiv.org.
    5. Chuang, Wen-I & Lee, Bong-Soo, 2006. "An empirical evaluation of the overconfidence hypothesis," Journal of Banking & Finance, Elsevier, vol. 30(9), pages 2489-2515, September.
    6. Tortorice, Daniel L., 2018. "Equity return predictability, time varying volatility and learning about the permanence of shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 315-343.
    7. Sandrine Jacob Leal, 2015. "Fundamentalists, chartists and asset pricing anomalies," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1837-1850, November.
    8. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    9. Michael Dempsey, 2015. "Stock Markets, Investments and Corporate Behavior:A Conceptual Framework of Understanding," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number p1007, January.
    10. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    11. Mesly, Olivier & Chkir, Imed & Racicot, François-Éric, 2019. "Predatory cells and puzzling financial crises: Are toxic products good for the financial markets?," Economic Modelling, Elsevier, vol. 78(C), pages 11-31.
    12. Sandrine Jacob Leal, 2015. "Fundamentalists, Chartists and Asset pricing anomalies," Post-Print hal-01508002, HAL.
    13. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021.
    14. Wyart, Matthieu & Bouchaud, Jean-Philippe, 2007. "Self-referential behaviour, overreaction and conventions in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 63(1), pages 1-24, May.
    15. Leopoldo S'anchez-Cant'u & Carlos Arturo Soto-Campos & Andriy Kryvko, 2016. "Evidence of Self-Organization in Time Series of Capital Markets," Papers 1604.03996, arXiv.org, revised Mar 2017.
    16. John H. Cochrane, 1999. "New facts in finance," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 36-58.
    17. German Forero-Laverde, 2016. "Are All Booms and Busts Created Equal? A New Methodology for Understanding Bull and Bear Stock Markets," UB School of Economics Working Papers 2016/339, University of Barcelona School of Economics.
    18. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    19. Ball, Ray & Bartov, Eli, 1996. "How naive is the stock market's use of earnings information?," Journal of Accounting and Economics, Elsevier, vol. 21(3), pages 319-337, June.
    20. Janusz Sobieraj & Dominik Metelski, 2021. "Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities," JRFM, MDPI, vol. 14(9), pages 1-29, September.

    More about this item

    Keywords

    heterogeneous agents models; financial fragility; stock prices; business cycles;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:ifwedp:2017108. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.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.