Abstract
In this paper, we suggest an approach to the study of the financial instability based on the model of evolutionary processes. In the first place, we present some empirical facts that confirm that the stock’s price dynamics is better described by the Markov switching model rather than by the pure random walk. Further, using the equilibrium model of price formation, we show that the temporary price trends on stock market are evolutionary processes that occur in the conditions of a duality of the equilibrium between the market price and the fair value. Then, within the framework of the constructed model, we analyze the causes of the financial market instability and its impact on the real sector, and show how the financial markets create a destructive impulse under the economic growth slowdown, and therefore adversely affect the process of innovations diffusion into the market. The conducted study shows that the causes of the financial instability are the capital concentration in the narrow circles of society and the lack of investment opportunities, as compared with the available financial resources, whereas the symptoms are frequently recurring financial bubbles and crises.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
If |λ| > 0 and ω = we have Markov switching model, proposed by Hamilton (1989) and widely discussed nowadays.
- 2.
This regression, but not a random walk, take place because the initial data in the Schiller’s base include autocorrelation coefficient of 0.28, as they perform data smoothed as for daily sliding averages.
- 3.
All model parameters are evaluated applying least square method.
- 4.
Unfortunately, achieving positive results from implementation of this strategy may require decades.
References
Akaev, A. A., & Rudskoy, A. I. (2014). Synergetic effect of NBIC—technologies and economic growth in the first half of the XXI century [Sinergeticheskij effekt NBIC—tekhnologij i mirovoj economicheskij rost v pervoj polovine XXI veka (in Russian)]. Ekonomicheskaja politika, 2, 25–46.
Allen, F., & Gale, D. (1998). Optimal financial crises. Journal of Finance, 53, 1245–1284.
Alonso, I. (1996). On avoiding bank runs. Journal of Monetary Economics, 37, 73–87.
Bachelier, L. J. B. A. (1900). Théorie de la speculation. Paris: Gauthier-Villars.
Barberis, N., Huang, M., & Santos, T. (1999). Prospect theory and asset prices (NBER Working Paper No. 7220).
Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307–343.
Black, F. (1988). An equilibrium model of the crash. NBER Macroeconomics Annual, 3, 269–275.
Chang, W. W., & Smyth, D. J. (1972). Stability and instability of IS-LM equilibrium. Oxford Economic Papers, 24(3), 372–384.
Chari, V. (1989). Banking without deposit insurance or bank panics: Lessons from a model of the U.S. national banking system. Federal Reserve Bank of Minneapolis Quarterly Review, 13(Summer), 3–19.
Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor psychology and security market under-and overreactions. The Journal of Finance, 53(6), 1839–1885.
De Long, J. B., et al. (1990a). Positive feedback investment strategies and destabilizing rational speculation. The Journal of Finance, 45(2), 379–395.
De Long, J. B., et al. (1990b). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703–738.
Diamond, D., & Dybvig, P. (1983). Bank runs, deposit insurance, and liquidity. Journal of Political Economy, 91, 401–419.
Fama, E. (1991). Efficient capital markets: II. The Journal of Finance, 46(5), 1575–1617.
Frazzini, A. (2006). The disposition effect and underreaction to news. The Journal of Finance, 61(4), 2017–2046.
Gennotte, G., & Leland, H. (1990). Market liquidity, hedging, and crashes. The American Economic Review, 80(5), 999–1021.
Glazyev, S. Y. (1993). The theory of long-term technical and economic development [Teoriya dolgosrochnogo thechniko-economicheskogo razvitiya (in Russian)]. Moscow: VlaDar.
Goldstein, I., & Pauzner, A. (2005). Demand deposit contracts and the probability of bank runs. Journal of Finance, 60(3), 1293–1327.
Hamilton, J. B. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), 357–384.
Hellwig, M. (1994). Liquidity provision, banking, and the allocation of interest rate risk. European Economic Review, 38, 1363–1389.
Hirooka, M. (2003). Nonlinear dynamism of innovation and business cycles. Journal of Evolutionary Economics, 13(5), 549–576.
Hirooka, M. (2006). Innovation dynamism and economic growth. Cheltenham: Edward Elgar.
Hong, H., & Stein, J. C. (1999). A unified theory of underreaction, momentum trading, and overreaction in asset markets. The Journal of Finance, 54(6), 2143–2184.
Ichkitidze, Y. R. (2006). On reflexivity of the financial market [O refleksivnosti finansovogo rynka (in Russian)]. Finance and Business, 1, 25–38.
Ichkitidze, Y. R. (2013). Reflexive model of stock market [Refleksivnaya model fondovogo rynka (in Russian)]. Vestnik Engecona, No. 6, 73–84.
Ichkitidze, Y. R. (2016). The duality of equilibrium between the stock price and the fair value for a fast-growing company. Proceedings of International Conference on Soft Computing and Measurements, SCM 2016.
Ichkitidze, Y. R., & Zvontsov, A. V. (2016). The optimal debt size under instability of financial markets. Proceedings of International Conference on Soft Computing and Measurements, SCM 2016.
Kaldor, N. (1940). A model of the trade cycle. The Economic Journal, 50(197), 78–92.
Kindleberger, C. (1978). Manias, panics, and crashes: A history of financial crises. New York: Basic Books.
Leland, H., & Rubinstein, M. (1988). Comments on the market crash: Six months after. The Journal of Economic Perspectives, 2(3), 45–50.
Minsky, H. P. (1972). Financial stability revisited: The economics of disaster. In Reappraisal of the federal reserve discount mechanism (Vol. 3, pp. 95–136). Washington, DC: Board of Governors of the Federal Reserve System.
Minsky, H. P. (1992). The financial instability hypothesis (Working Paper No. 74). Annandale-on-Hudson, NY: The Levy Economics Institute.
Morris, S., & Shin, H. (1998). Unique equilibrium in a model of self-fulfilling currency attacks. American Economic Review, 88, 587–597.
Osborne, M. F. M. (1959). Brownian motion in the stock market. Operations Research, 7(2), 145–173.
Ozdenoren, E., & Yuan, K. (2008). Feedback effects and asset prices. The Journal of Finance, 63(4), 1939–1975.
Peters, E. (1989). Fractal structure in the capital markets. Financial Analysts Journal, 45(4), 32–37.
Peters, E. (1994). Fractal market analysis: Applying chaos theory to investment and economics. New York: Wiley.
Romer, D. (1993). Rational asset-price movements without news. American Economic Review, 83, 1112–1130.
Shiller, R. (1984). Stock prices and social dynamics. Brookings Papers on Economic Activity, 2, 457–510.
Shiller, R. (2000). Irrational exuberance. Princeton, NJ: Princeton University Press.
Shleifer, A. (2000). Inefficient markets: An introduction to behavioral finance. New York: Oxford University Press.
Shleifer, A., & Summers, L. H. (1990). The noise trader approach to finance. The Journal of Economic Perspectives, 4(2), 19–33.
Shleifer, A., & Vishny, R. (1997). Limits of arbitrage. The Journal of Finance, 52(1), 35–55.
Soros, G. (1987). The alchemy of finance. Reading the mind of the market. New York: Wiley.
Summers, L. (1986). Does the stock market rationally reflect fundamental values? The Journal of Finance, 41(3), 591–601.
Wallace, N. (1988). Another attempt to explain an illiquid banking system: The Diamond and Dybvig model with sequential service taken seriously. Federal Reserve Bank of Minneapolis Quarterly Review, 12(Fall), 3–16.
Wallace, N. (1990). A banking model in which partial suspension is best. Federal Reserve Bank of Minneapolis Quarterly Review, 14(Fall), 11–23.
Yuan, K. (2005). Asymmetric price movements and borrowing constraints: A rational expectations equilibrium model of crises, contagion, and confusion. The Journal of Finance, 60(1), 379–411.
Acknowledgments
The research and its findings has been supported by the Grant of the Russian Science Foundation (Research project No. 14-28-00065 “Structural and cyclical paradigm of economic and technological renovation of macro-systems (World and Russia in the first half of the XXI century)”).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Ichkitidze, Y. (2017). Financial Instability Under Innovation Development: Reasons and Regulation Within the Model of Evolutionary Processes. In: Devezas, T., Leitão, J., Sarygulov, A. (eds) Industry 4.0. Studies on Entrepreneurship, Structural Change and Industrial Dynamics. Springer, Cham. https://doi.org/10.1007/978-3-319-49604-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-49604-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49603-0
Online ISBN: 978-3-319-49604-7
eBook Packages: Business and ManagementBusiness and Management (R0)