IDEAS home Printed from https://ideas.repec.org/a/prg/jnleam/v2016y2016i3id276.html
   My bibliography  Save this article

The relationship between the real economy and financial sector regarding technological bubbles

Author

Listed:
  • Petr Makovský

Abstract

In this article, we presented factors which influence the financial asset´s profitability. First we have introduced the consumption based CAPM model. We have highlighted pros and cons resulting from further empirical research. More we have taken into account the impacts of technological shocks to the new and old economy structure. In the other words impact of technological shocks to the financial asset´s profitability. The time horizon analyzed in the data sample of the Czech Republic is from the 1995 to 2015. Technological progress is deducted on the basis of so called “Sollow” residuals. These are constructed from the real GDP evolution. In the empirical analysis we have presented conclusion about the both Stock exchange profitability dependent on the technological progress and the FOREX asset profitability dependence on the technological progress. A very surprising conclusion is that the technological progress effect to the FOREX asset profitability is immediate, whereas the effect to Stock exchange profitability is in the three years delayed.

Suggested Citation

  • Petr Makovský, 2016. "The relationship between the real economy and financial sector regarding technological bubbles," Ekonomika a Management, Prague University of Economics and Business, vol. 2016(3).
    • Handle: RePEc:prg:jnleam:v:2016:y:2016:i:3:id:276
    as

    Download full text from publisher

    File URL: http://www.vse.cz/eam/download.php?jnl=eam&pdf=276.pdf
    Download Restriction: free of charge
    File URL: http://www.vse.cz/eam/276
    Download Restriction: free of charge
    ---><---

    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. Gadi Barlevy, 2007. "Economic theory and asset bubbles," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 31(Q III), pages 44-59.
    2. Kunieda, Takuma & Shibata, Akihisa, 2016. "Asset bubbles, economic growth, and a self-fulfilling financial crisis," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 70-84.
    3. Lee, Ji Hyung & Phillips, Peter C.B., 2016. "Asset pricing with financial bubble risk," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 590-622.
    4. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 361-381, November.
    5. Michael Wickens, 2012. "Macroeconomic Theory: A Dynamic General Equilibrium Approach Second Edition," Economics Books, Princeton University Press, edition 1, number 9743.
    6. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980.
    7. Vipin Arora & Shuping Shi, 2016. "Nonlinearities and tests of asset price bubbles," Empirical Economics, Springer, vol. 50(4), pages 1421-1433, June.
    8. Fama, Eugene F., 1976. "Forward rates as predictors of future spot rates," Journal of Financial Economics, Elsevier, vol. 3(4), pages 361-377, October.
    9. repec:oup:restud:v:84:y::i:1:p:406-443. is not listed on IDEAS
    10. John S.L. McCombie, 2000. "The Solow Residual, Technical Change, and Aggregate Production Functions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 23(2), pages 267-297, December.
    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. Lennart Ante & Philipp Sandner & Ingo Fiedler, 2018. "Blockchain-Based ICOs: Pure Hype or the Dawn of a New Era of Startup Financing?," JRFM, MDPI, vol. 11(4), pages 1-19, November.
    2. Douglas R. Emery, 2022. "Negative bubbles and the market for “dreams”: “Lemons” in the looking glass," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(1), pages 5-16, March.
    3. R. Andergassen, 2003. "Rational destabilising speculation and the riding of bubbles," Working Papers 475, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Andrei Afilipoaei & Gustavo Carrero, 2023. "A Mathematical Model of Financial Bubbles: A Behavioral Approach," Mathematics, MDPI, vol. 11(19), pages 1-17, September.
    5. Estelle Cantillon & Aurélie Slechten, 2018. "Information Aggregation in Emissions Markets with Abatement," Annals of Economics and Statistics, GENES, issue 132, pages 53-79.
    6. G. Menzies & R. Bird & P. Dixon & M. Rimmer, 2010. "Asset Price Regulators, Unite: you have Macroeconomic Stability to Win and the Microeconomic Losses are Second-order," Centre of Policy Studies/IMPACT Centre Working Papers g-205, Victoria University, Centre of Policy Studies/IMPACT Centre.
    7. Ken‐ichi Hashimoto & Ryonghun Im & Takuma Kunieda & Akihisa Shibata, 2022. "Asset bubbles, unemployment, and financial market frictions," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1806-1832, October.
    8. Cici, Gjergji & Gehde-Trapp, Monika & Göricke, Marc-André & Kempf, Alexander, 2014. "What they did in their previous life: The investment value of mutual fund managers' experience outside the financial sector," CFR Working Papers 14-11, University of Cologne, Centre for Financial Research (CFR).
    9. Paul De Grauwe & Marianna Grimaldi, 2004. "Bubbles and Crashes in a Behavioural Finance Model," CESifo Working Paper Series 1194, CESifo.
    10. Stijn Claessens & M. Ayhan Kose, 2013. "Financial Crises: Explanations, Types and Implications," CAMA Working Papers 2013-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.
    12. Lin William Cong & Yizhou Xiao, 2024. "Information Cascades and Threshold Implementation: Theory and an Application to Crowdfunding," Journal of Finance, American Finance Association, vol. 79(1), pages 579-629, February.
    13. Kenneth Yung & Yen-Chih Liu, 2009. "Implications of futures trading volume: Hedgers versus speculators," Journal of Asset Management, Palgrave Macmillan, vol. 10(5), pages 318-337, December.
    14. Gabriel Desgranges & Celine Rochon, 2008. "Conformism, Public News and Market Effciency," OFRC Working Papers Series 2008fe16, Oxford Financial Research Centre.
    15. Mr. Piti Disyatat & Mr. Gaston Gelos, 2001. "The Asset Allocation of Emerging Market Mutual Funds," IMF Working Papers 2001/111, International Monetary Fund.
    16. Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling Mean the German Financial Market is Efficient?," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 111-125.
    17. Guriev, Sergei & Kvasov, Dmitriy, 2009. "Imperfect competition in financial markets and capital structure," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 131-146, October.
    18. Enders, Zeno & Hakenes, Hendrik Hakenes, 2014. "On the Existence and Prevention of Speculative Bubbles," Working Papers 0567, University of Heidelberg, Department of Economics.
    19. John Conlon, 2005. "Should Central Banks Burst Bubbles?," Game Theory and Information 0508007, University Library of Munich, Germany.
    20. Ken‐ichi Hashimoto & Ryonghun Im, 2019. "Asset bubbles, labour market frictions and R&D‐based growth," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(2), pages 822-846, May.

    More about this item

    Keywords

    Technologic revolution; C-CAPM; Financial asset´s profitability; Technologická revoluce; C-CAPM; Výnosnost finančních aktiv;
    All these keywords.

    JEL classification:

    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:prg:jnleam:v:2016:y:2016:i:3:id:276. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.