Endogenous Fundamental and Stock Cycles
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A heterogeneous agent model of a financial market with endogenous fundamental value is built to study the recurrence of stock cycles. In a hypothetical economy, a firm produces consumption goods and issues a risk-free corporate bond and a risky stock in the financial market. Heterogeneous agents provide either capital or labor to the production, and they trade in the financial market by using fundamental or technical strategies. The fundamental value of the firm’s stock is endogenously determined by the firm’s production output. Agents’ investment in the risk-free bond is reinvested into future production. Steady-state analysis shows possible economic equilibrium under a proper parameter setting. In numerical simulations, stock cycles recur, and each stock cycle consists of the following four phases: accumulation, boom, crash, and recovery. A close investigation of stock cycles shows that a prosperous stock market may accelerate the formation of bubbles by drawing resources from future production. Although chartists are less wealthy than fundamentalists, they are capable of having a significant effect on the stock market.
KeywordsHeterogeneous agent model Endogenous fundamental Cobb–Douglas production function Stock cycle
JEL ClassificationC63 D24 G01 G12
We are grateful for the referee’s valuable comments which have led to great improvements in our paper. We also thank organizers and participants of the 21st International Conference on Computing in Economics and Finance for their helpful suggestions.
- Cincotti, S., Raberto, M., & Teglio, A. (2010). Credit money and macroeconomic instability in the agent-based model and simulator EURACE. Economics: The Open-Access, Open-Assessment E-Journal, 4(2010–26), 1–32.Google Scholar
- Cincotti, S., Raberto, M., & Teglio, A. (2012a). The EURACE macroeconomic model and simulator. In M. Aoki, K. Binmore, S. Deakin, & H. Gintis (Eds.), Complexity and institutions : Markets, norms and corporations (pp. 81–104). London: Palgrave Macmillan.Google Scholar
- Cincotti, S., Raberto, M., & Teglio, A. (2012b). Macroprudential policies in an agent-based artificial economy. Revue de l’OFCE, 124(5), 205–234.Google Scholar
- Dawid, H., Gemkow, S., Harting, P., van der Hoog, S., & Neugart, M. (2012). The Eurace@Unibi model: An agent-based macroeconomic model for economic policy analysis. Bielefeld University Working Papers in Economics and Management No. 05-2012.Google Scholar
- Hommes, C. H. (2006). heterogeneous agent models in economics and finance. In L. Tesfatsion & K. J. Judd (Eds.), Handbook of computational economics. Agent-based computational economics (Vol. 2, pp. 1109–1186). Amsterdam: Elsevier.Google Scholar
- Naimzada, A., & Pireddu, M. (2014). Real and financial interacting oscillators: A behavioral macro-model with animal spirits. DEMS Working Paper Series No. 268.Google Scholar
- Westerhoff, F. (2012). Interactions between the real economy and the stock market: a simple agent-based approach. Discrete Dynamics in Nature and Society, 2012 (2012), Article ID 504840.Google Scholar
- Zheng, J., Hu, A., & Bigsten, A. (2009). Potential output in a rapidly developing economy: the case of China and a comparison with the United States and the European Union. Federal Reserve Bank of St. Louis Review, 91(4), 317–342.Google Scholar