Olkhov, Victor (2020): Business Cycles as Collective Risk Fluctuations.
Preview |
PDF
MPRA_paper_104598.pdf Download (322kB) | Preview |
Abstract
We suggest use continuous numerical risk grades [0,1] of R for a single risk or the unit cube in Rn for n risks as the economic domain. We consider risk ratings of economic agents as their coordinates in the economic domain. Economic activity of agents, economic or other factors change agents risk ratings and that cause motion of agents in the economic domain. Aggregations of variables and transactions of individual agents in small volume of economic domain establish the continuous economic media approximation that describes collective variables, transactions and their flows in the economic domain as functions of risk coordinates. Any economic variable A(t,x) defines mean risk XA(t) as risk weighted by economic variable A(t,x). Collective flows of economic variables in bounded economic domain fluctuate from secure to risky area and back. These fluctuations of flows cause time oscillations of macroeconomic variables A(t) and their mean risks XA(t) in economic domain and are the origin of any business and credit cycles. We derive equations that describe evolution of collective variables, transactions and their flows in the economic domain. As illustration we present simple self-consistent equations of supply-demand cycles that describe fluctuations of supply, demand and their mean risks.
Item Type: | MPRA Paper |
---|---|
Original Title: | Business Cycles as Collective Risk Fluctuations |
English Title: | Business Cycles as Collective Risk Fluctuations |
Language: | English |
Keywords: | business cycle; risk ratings; collective variables; economic flows; economic domain |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F44 - International Business Cycles |
Item ID: | 104598 |
Depositing User: | Victor Olkhov |
Date Deposited: | 11 Dec 2020 10:58 |
Last Modified: | 11 Dec 2020 10:58 |
References: | Alvarez. F. and U.J. Jermann, (1999). Efficiency, Equilibrium, and Asset Pricing with Risk of Default. Econometrica, 68:775–797. doi:10.1111/1468-0262.00137 Andrle, M., Brůha, J. and S. Solmaz, (2017). On the sources of business cycles: implications for DSGE models. ECB Working Paper 2058 Bangia, A., Diebold, F.X. and T. Schuermann, (2000). Ratings Migration and the Business Cycle, With Applications to Credit Portfolio Stress Testing. The Wharton, FIC WP 00-26 Becker, B., and T. Milbourn, (2010). How Did Increased Competition Affect Credit Ratings? NBER, Cambridge, MA, 1-49 Belkin, B., Suchower, S. and L. R. Forest, 1998. A one-parameter representation of credit risk and transition matrices. JP Morgan, CreditMetrics® Monitor, 3-d Q, 46-56 Berkowitz, S.A., Dennis E. Logue, D.E. and E. A. Noser, Jr., 1988. The Total Cost of Transactions on the NYSE, The Journal Of Finance, 43, (1), 97-112 Bilbiie, F.O., Ghironi, F., and M.J. Melitz, (2012). Endogenous Entry, Product Variety, and Business Cycles. Journal of Political Economy, 120, (2), 304-345 Bollerslev, T. and Zhang B.Y.B., (2003). Measuring and modeling systematic risk in factor pricing models using high-frequency data. Journal of Empirical Finance 10: 533– 558 Brunnermeier, M. and A. Krishnamurthy, (Ed). (2014). Risk Topography: Systemic Risk and Macro Modeling. NBER, Univ. Chicago Press Buryak, A. and I. Guo, 2014. Effective And Simple VWAP Options Pricing Model, Intern. J. Theor. Applied Finance, 17, (6), 1450036 Chane-Kon, L., Neugebauer, M., Pak, A., Trebach, K., Tsang, E., (2010). Structured Finance. Global Rating Criteria for Structured Finance CDOs, Fitch Ratings, 1-27 Christiano, L., Motto, R. and M. Rostagno, (2013). Risk Shocks. NBER WP18682. Cambridge, MA. http://www.nber.org/papers/w18682 CME Group, 2020. www.cmegroup.com/confluence/display/EPICSANDBOX/GovPX+Historical+Data ; www.cmegroup.com/confluence/display/EPICSANDBOX/Standard+and+Poors+500+Futures Diebold, F.X. and Rudebusch, G.D. (1999). Business Cycles Durations, Dynamics, and Forecasting. Princeton Univ.Press. Diebold, F.X. (Ed), (2012). Financial Risk Measurement and Management. International Library of Critical Writings in Economics. Edward Elgar Publishing Ltd. Diebold, F.X. and K. Yilmaz, (2013). Measuring the Dynamics of Global Business Cycle Connectedness, PIER WP 13-070, Penn Inst. for Economic Research, Univ. Pennsylvania. Durand, D., (1941). Volume Title: Risk Elements in Consumer Instalment Financing, Technical Edition, NBER, http://www.nber.org/books/dura41-1 Engle, R., (2017). Systemic Risk With Endogenous Cycles. Conf. “Banks, Systemic Risk, Measurement and Mitigation”, Sapienza Univ., Rome. Farmer, R.E.A., Woodford, M., (1997). Self-Fulfilling Prophecies And The Business Cycle Macroeconomic Dynamics, 1, 740–769. Fitch, (2017). Asia-Pacific Structured Finance 2016 Transition and Default Study, FitchRatings, Structured Finance, 1-14 Grandmont, J.M., (1985). On Endogenous Competitive Business Cycles. Econometrica, 53 (5) 995-1045 Growiec, J., McAdam, P. and J. Mućk, (2015). Endogenous labor share cycles: theory and evidence. European Central Bank, WP 1765. Hayek, F.A. von., (1933). Monetary Theory and the Trade Cycle. London, Jonathan Cape. Ho, A., et.al., 2017. Asia-Pacific Structured Finance 2016 Transition and Default Study, FitchRatings Structured Finance, 1-14 Huang, X., Zhou, H., (2009). A Framework for Assessing the Systemic Risk of Major Financial Institutions, Finance&Economics Discussion Series, FRB, Washington, D.C. Huggett, M., (2017). Business Cycles: Facts and Theory. Lecture 8. Economics Department, Georgetown University, Washington DC., http://faculty.georgetown.edu/mh5/class/econ102/ Jorda, O., Schularick, M., Taylor, A.M., (2016). Macrofinancial History and the New Business Cycle Facts. FRB San Francisco, WP 2016-23 King, M.R., Ongena, S. and N. Tarashev, (2017). Bank standalone credit ratings, BIS WP 542, 1-63 Kiyotaki, N., (2011). A Perspective on Modern Business Cycle Theory. Economic Quarterly, 97, (3), 195–208 Kraemer, N. and D. Vazza, (2012). 2011 Annual U.S. Corporate Default Study&Rating Transitions, S&P: 1-96 Kydland, F.E. and E.C. Prescott (1982). Time to Build and Aggregate Fluctuations. Econometrica, 50, (6) 1345-1370 Kydland, F.E. and E.C. Prescott, (1991). The Econometrics of the General Equilibrium Approach to Business Cycles. Scand. J. of Economics 93(2): 161-178 LeBaron, B. and L. Tesfatsion, (2008). Modeling Macroeconomies as Open-Ended Dynamic Systems of Interacting Agents, AER Papers & Proceedings, 98(2), 246-250 Lucas, R.E., (1975). An Equilibrium Model of Business Cycle. Jour. Political Economy, 83, 1113-1144. Lucas, R.E., 1980. Methods and Problems in Business Cycle Theory, Jour.of Money, Credit and Banking, 12, (4) Part 2: Rational Expectations, 696-715 Lucas, R.E., (1995). Understanding Business Cycles, in Estrin, S and A. Marin (ed.), Essential Readings in Economics, pp. 306-327. Macmillan McNeil, A. J., Frey, R. and P. Embrechts, (2005). Quantitative Risk Management: Concepts, Techniques and Tools. Princeton University Press, Princeton and Oxford. Mendoza, E.G. and Yue, V.Z., (2012). A General Equilibrium model Of Sovereign Default And Business Cycles. Quart. Jour. Economics, 127, 889–946. https://doi.org/10.1093/qje/qjs009 Metz, A. and Cantor, R., (2007). Introducing Moody's Credit Transition Model, Moody’s Investor Service, 1-26 Morkoetter, S., Stebler, R. and S. Westerfeld, (2016). Competition In The Credit Rating Industry: Benefits For Investors And Issuers. Univ. of St. Gallen, Swiss Institute Of Banking And Finance, WP 2015/05, 1-50 Mitchell, W.C., (1927). Business Cycles: The Problem and Its Setting. NBER, pp. 519 Moody’s, (2009). Structured Finance Rating Transitions: 1983-2008. Moody’s Credit Policy, 1-85 Mullineux, A.D. and Dickinson, D.G., (1992). Equilibrium Business Cycles: Theory and Evidence. Journal of Economic Surveys, 6(4): 321-58 Myers, J.H. and E.W. Forgy, (1963). The Development of Numerical Credit Evaluation Systems, Jour. American Statistical Association, 58, 303, 799-806 Nicolò, G.D. and Lucchetta, M., (2011). Systemic Risks And The Macroeconomy, WP 16998, NBER, Cambridge, MA http://www.nber.org/papers/w16998 Olkhov, V. (2016). On Economic space Notion. Int. Rev. Financial Analysis, 47, 372-381 Olkhov, V., (2017). Econophysics of Business Cycles: Aggregate Economic Fluctuations, Mean Risks and Mean Square Risks. arXiv:1709.00282, 1-31 Olkhov, V., (2018a). The Business Cycle Model Beyond General Equilibrium. MPRA WP 87204, 1-27 Olkhov, V., (2018b) How Macro Transactions Describe the Evolution and Fluctuation of Financial Variables, Int. J. Financial Stud., 6 (38), 1-19; doi:10.3390/ijfs6020038 Olkhov, V., (2019a). Economic and Financial Transactions Govern Business Cycles. ACRN Jour. of Finance and Risk Perspectives, 8 (1), 1-20, DOI:10.35944/jofrp.2019.8.1.001 Olkhov, V., (2019b). Financial Variables, Market Transactions, and Expectations as Functions of Risk. Int. J. Financial Studies, 7(4), 66; doi:10.3390/ijfs7040066 Olkhov, V., 2019c. The Econophysics Of Asset Prices, Returns And Multiple Expectations. The Journal of Network Theory in Finance, 5 (3), 25-52 Pesaran, M.H., Schuermann, T., Treutler, B.J., (2007). Global Business Cycles and Credit Risk. in The Risks of Financial Institutions (Ed) Carey, M. and Stulz, R.M. NBER, Chicago. Pompliano, W. and B. Hancock, (2002). Bondholders Versus Shareholders. Risk Solutions, S&P. Rebelo, S., (2005). Real Business Cycle Models: Past, Present, And Future, NBER, WP 11401, Cambridge, MA Plosser, C.I. (1989). Understanding Real Business Cycles, J. Economic Perspectives, 3 (3), 51–77 Poggio, T., Lo, A.W., LeBaron, B. and N. T. Chan. (1999). Agent-Based Models of Financial Markets: A Comparison with Experimental Markets. MIT Sloan School of Management, WP 124, 1-44 Schumpeter, J.A., (1939). Business Cycles. A Theoretical, Historical and Statistical Analysis of the Capitalist Process. NY McGraw-Hill Book Company Shapiro, M. and M. Watson, (1988). Sources of Business Cycles Fluctuations. In Fischer,S. (Ed), NBER Macroeconomics Annual 1988, 3, MIT Press. Shea, J., (1998). What Do Technology Shocks Do?, 1999, in Bernanke, B.S., Rotemberg, J., (Ed), NBER Macroeconomics Annual, 13, 275 – 322 Silverman, E., (2018). Methodological Investigations in Agent-Based Modelling. Springer, Glasgow, UK S&P, 2018. 2018 Annual Global Corporate Default And Rating Transition Study Strauss, W.A., (2008). Partial Differential Equations. An Introduction. John Wiley&Sons, NJ, US. p.179 Tallarini, T.D., (2000). Risk-sensitive real business cycles. J. Monetary Economics 45, 507-532. Ed. Tesfatsion, L. and K. L. Judd (2006). Handbook Of Computational Economics, v. 2, Agent-Based Computational Economics, Elsevier B.V., Amsterdam Tinbergen, J., (1935). Annual Survey: Suggestions on Quantitative Business Cycle Theory, Econometrica, 3 (3), 241-308 Volland, E, et.al. (2019). Global Banks 2020 Outlook. The Unrelenting Hunt For Returns. S&P Global Rating, 1-34 WB Group, (2019). Credit Scoring Approaches Guidelines, The World Bank Group, Washington, DC, 1-46 Zarnowitz, V., (1992). Business Cycles: Theory, History, Indicators, and Forecasting. NBER. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/104598 |