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Optimal Debt Ratio and Consumption Strategies in Financial Crisis

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Abstract

This paper derives the optimal debt ratio and consumption strategies for an economy during the financial crisis. Taking into account the impact of labor market condition during the financial crisis, the production rate function is stochastic and affected by the government fiscal policy and unanticipated shocks. The objective is to maximize the total expected discounted utility of consumption in the infinite time horizon. Using dynamic programming principle, the value function is a solution of Hamilton–Jacobi–Bellman (HJB) equation. The subsolution-supersolution method is used to verify the existence of classical solutions of the HJB equation. The explicit solution of the value function is derived, and the corresponding optimal debt ratio and consumption strategies are obtained. An example is provided to illustrate the methodologies and some interesting economic insights.

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References

  1. Stein, J.L.: Stochastic Optimal Control and the U.S. Financial Debt Crisis. Springer, New York (2012)

    Book  MATH  Google Scholar 

  2. Koo, H.K.: Consumption and portfolio selection with labor income: a continuous time approach. Math. Financ. 8, 49–65 (1998)

    Article  MATH  Google Scholar 

  3. Branson, W.: Macroeconomic Theory and Policy. Harper and Row Publishers, New York (1972)

    Google Scholar 

  4. Jarrow, R.A.: Financial crises and economic growth. Q. Rev. Econ. Financ. 54, 194–207 (2014)

    Article  Google Scholar 

  5. Fleming, W.H., Soner, H.M.: Controlled Markov Processes and Viscosity Solutions. Springer, New York (1992)

    Google Scholar 

  6. Pang, T.: Stochastic portfolio optimization with log utility. Int. J. Theor. Appl. Financ. 9(6), 869–887 (2006)

    Article  MATH  Google Scholar 

  7. Song, Q., Yin, G., Zhu, C.: Utility maximization of an indivisible market with transaction costs. SIAM J. Control Optim. 50(2), 629–651 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  8. Björk, T., Murgoci, A., Zhou, X.Y.: Mean-variance portfolio optimization with state-dependent risk aversion. Math. Financ. 24, 1–24 (2014)

    Article  MATH  Google Scholar 

  9. Karatzas, I., Lehoczky, J., Shreve, S.: Optimal portfolio and consumption decisions for a “small investor” on a finite horizon. SIAM J. Control Optim. 25, 1557–1586 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  10. Kuwana, Y.: Certainty equivalence and logarithmic utilities in consumption/investment problems. Math. Financ. 5(4), 297–309 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  11. Zhang, X., Siu, T.K., Meng, Q.: Portfolio selection in the Enlarged Markovian regime-switching market. SIAM J. Control Optim. 48(5), 3368–3388 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  12. Barro, R.J.: On the determination of the public debt. J. Polit. Econ. 87(5), 940–971 (1979)

    Article  Google Scholar 

  13. Adam, K.: Government debt and optimal monetary and fiscal policy. Eur. Econ. Rev. 55(1), 57–74 (2011)

    Article  Google Scholar 

  14. Pontryagin, L.S.: Optimal processes of regulation. Uspekhi Mat. Nauk 14, 3–20 (1959)

    MathSciNet  Google Scholar 

  15. Bellman, R.: Dynamic Programming. Princeton University Press, Princeton (2010)

    MATH  Google Scholar 

  16. Yong, J., Zhou, X.Y.: Stochastic Controls: Hamiltonian Systems and HJB Equations. Springer, New York (1999)

    Book  MATH  Google Scholar 

  17. Song, Q., Zhang, Q.: An optimal pairs-trading rule. Automatica 49(10), 3007–3014 (2003)

    Article  MathSciNet  Google Scholar 

  18. Wei, J., Yang, H., Wang, R.: Classical and impulse control for the optimization of dividend and proportional reinsurance policies with regime switching. J. Optim. Theory Appl. 142(2), 358–377 (2010)

    Article  MathSciNet  Google Scholar 

  19. Yao, D., Yang, H., Wang, R.: Optimal dividend and capital injection problem in the dual model with proportional and fixed transaction costs. Eur. J. Oper. Res. 211, 568–576 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  20. Yang, H., Yin, G.: Ruin probability for a model under Markovian switching regime. In: Lai, T.L., Yang, H., Yung, S.P. (eds.) Probability, Finance and Insurance, pp. 206–217. World Scientific, River Edge (2004)

    Chapter  Google Scholar 

  21. Siu, T.K.: A BSDE approach to optimal investment of an insurer with hidden regime switching. Stoch. Anal. Appl. 31(1), 1–18 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  22. Zhou, X.Y., Yin, G.: Markowitz mean-variance portfolio selectionwith regime switching: a continuous-time model. SIAM J. Control Optim. 42, 1466–1482 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  23. Fleming, W.H., Pang, T.: An application of stochastic control theory to financial economics. SIAM J. Control Optim. 43(2), 502–531 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  24. Pao, C.V.: Nonlinear Parabolic and Elliptic Equations. Plenum Press, New York (1992)

    MATH  Google Scholar 

  25. Øksendal, B.: Stochastic Differential Equations: An Introduction with Applications. Springer, Berlin (2003)

    Book  Google Scholar 

  26. Vasicek, O.: An equilibrium characterisation of the term structure. J. Financ. Econ. 5(2), 177–188 (1977)

    Article  Google Scholar 

  27. Cox, J.C., Ingersoll, J.E., Ross, S.A.: A theory of the term structure of interest rates. Econometrica 53, 385–407 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  28. Chen, L.: Stochastic mean and stochastic volatility—a three-factor model of the term structure of interest rates and its application to the pricing of interest rate derivatives. Financ. Mark. Inst. Instrum. 5, 1–8 (1996)

    MATH  Google Scholar 

  29. Luenberger, D.G.: Investment Science, 2nd edn. Oxford University Press, New York (2013)

    Google Scholar 

  30. Elton, E.J., Gruber, M.J., Brown, S.J., Goetzmann, W.N.: Modern Portfolio Theory and Investment Analysis, 8th edn. Wiley, Hoboken (2009)

    Google Scholar 

  31. Yin, G., Zhu, C.: Hybrid Switching Diffusions: Properties and Applications. Springer, New York (2010)

    Book  Google Scholar 

  32. Jin, Z., Yang, H., Yin, G.: Numerical methods for optimal dividend payment and investment strategies of regime-switching jump diffusion models with capital injections. Automatica 49(8), 2317–2329 (2013)

    Article  MathSciNet  Google Scholar 

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Acknowledgments

The research of Zhuo Jin was supported by the Early Career Research Grant of University of Melbourne and The Fundamental Research Funds for the Central Universities in China.

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Correspondence to Zhuo Jin.

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Communicated by David G. Luenberger.

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Jin, Z. Optimal Debt Ratio and Consumption Strategies in Financial Crisis. J Optim Theory Appl 166, 1029–1050 (2015). https://doi.org/10.1007/s10957-014-0629-0

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  • DOI: https://doi.org/10.1007/s10957-014-0629-0

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