American Institute of Mathematical Sciences

Advanced
  • Previous Article
    A new approach for allocating fixed costs among decision making units
  • JIMO Home
  • This Issue
  • Next Article
    Robust output stabilization for a class of nonlinear uncertain stochastic systems under multiplicative and additive noises: The attractive ellipsoid method
January  2016, 12(1): 187-209. doi: 10.3934/jimo.2016.12.187

Dynamic mean-variance asset allocation with stochastic interest rate and inflation rate

Haixiang Yao 1, , Zhongfei Li 2, and  Yongzeng Lai 3,

1. 

School of Finance, Guangdong University of Foreign Studies, Guangzhou 510006, China
2. 

Lingnan (University) College/Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275
3. 

Department of Mathematics, Wilfrid Laurier University, Waterloo, Ontario, N2L 3C5, Canada

Received  May 2014 Revised  December 2014 Published  April 2015

This paper studies dynamic asset allocation with stochastic interest rates and inflation rates under the continuous-time mean-variance model in a more general market that may be incomplete. First, by the Lagrange method and the dynamic programming approach, we derive the associated Hamilton-Jacobi-Bellman equation and solve it explicitly. Then, closed form expressions for the efficient strategy and the efficient frontier are derived by applying the Lagrange dual theory. In addition, we state a necessary and sufficient condition under which the efficient frontier is a straight line in the standard deviation-mean plane, and some degenerate cases are discussed. Finally, empirical analysis based on real data from the Chinese market is presented to illustrate applications of the results obtained in this paper.
Keywords: Hamilton-Jacobi-Bellman equation., Asset allocation, inflation, dynamic mean-variance, stochastic interest rate.
Mathematics Subject Classification: Primary: 90C26; Secondary: 91B28, 49N1.
Citation: Haixiang Yao, Zhongfei Li, Yongzeng Lai. Dynamic mean-variance asset allocation with stochastic interest rate and inflation rate. Journal of Industrial & Management Optimization, 2016, 12 (1) : 187-209. doi: 10.3934/jimo.2016.12.187
References:
[1]

I. Bajeux-Besnainou and R. Portait, Dynamic asset allocation in a mean-variance framework,, Management Science, 44 (1998).   Google Scholar

[2]

T. R. Bielecki, H. Q. Jin, S. R. Pliska and X. Y. Zhou, Continuous-time mean-variance portfolio selection with bankruptcy prohibition,, Mathematical Finance, 15 (2005), 213.  doi: 10.1111/j.0960-1627.2005.00218.x.  Google Scholar

[3]

M. J. Brennan and Y. Xia, Dynamic asset allocation under inflation,, Journal of Finance, 57 (2002), 1201.  doi: 10.1111/1540-6261.00459.  Google Scholar

[4]

T. Chellathurai and T. Draviam, Dynamic portfolio selection with fixed and/or proportional transaction costs using non-singular stochastic optimal control theory,, Journal of Economic Dynamics and Control, 31 (2007), 2168.  doi: 10.1016/j.jedc.2006.06.006.  Google Scholar

[5]

P. Chen, H. L. Yang and G. Yin, Markowitz's mean-variance asset-liability management with regime switching: A continuous-time model,, Insurance: Mathematics and Economics, 43 (2008), 456.  doi: 10.1016/j.insmatheco.2008.09.001.  Google Scholar

[6]

Y. Y. Chou, N. W. Han and M. W. Hung, Optimal portfolio-consumption choice under stochastic inflation with nominal and indexed bonds,, Applied Stochastic Models in Business and Industry, 27 (2011), 691.  doi: 10.1002/asmb.886.  Google Scholar

[7]

O. L. V. Costa and A. D. Oliveira, Optimal mean-variance control for discrete-time linear systems with Markovian jumps and multiplicative noises,, Automatica, 48 (2012), 304.  doi: 10.1016/j.automatica.2011.11.009.  Google Scholar

[8]

R. Ferland and F. Watier, Mean-variance efficiency with extended CIR interest rates,, Applied Stochastic Models in Business and Industry, 26 (2010), 71.  doi: 10.1002/asmb.767.  Google Scholar

[9]

W. H. Fleming and H. M. Soner, Controlled Markov Processes and Viscosity Solutions,, 2ed. Springer, (2006).   Google Scholar

[10]

C. P. Fu, A. Lari-lavassani and X. Li, Dynamic mean-variance portfolio selection with borrowing constraint,, European Journal of Operational Research, 200 (2010), 313.  doi: 10.1016/j.ejor.2009.01.005.  Google Scholar

[11]

J. W. Gao, Stochastic optimal control of DC pension funds,, Insurance: Mathematics and Economics, 42 (2008), 1159.  doi: 10.1016/j.insmatheco.2008.03.004.  Google Scholar

[12]

D. Hainaut, Dynamic asset allocation under VaR constraint with stochastic interest rates,, Annals Of Operations Research, 172 (2009), 97.  doi: 10.1007/s10479-008-0509-9.  Google Scholar

[13]

N. W. Han and M. W. Hung, Optimal asset allocation for DC pension plans under inflation,, Insurance: Mathematics and Economics, 51 (2012), 172.  doi: 10.1016/j.insmatheco.2012.03.003.  Google Scholar

[14]

R. Josa-Fombellida and J. P. Rincón-Zapatero, Optimal asset allocation for aggregated defined benefit pension funds with stochastic interest rates,, European Journal of Operational Research, 201 (2010), 211.   Google Scholar

[15]

R. Korn and H. Kraft, A Stochastic control approach to portfolio problems with stochastic interest rates,, SIAM Journal on Control and Optimization, 40 (2002), 1250.  doi: 10.1137/S0363012900377791.  Google Scholar

[16]

P. Lakner and L. M. Nygren, Portfolio optimization with downside constraints,, Mathematical Finance, 16 (2006), 283.  doi: 10.1111/j.1467-9965.2006.00272.x.  Google Scholar

[17]

M. Leippold, F. Trojani and P. Vanini, Multiperiod mean-variance efficient portfolios with endogenous liabilities,, Quantitative Finance, 11 (2011), 1535.  doi: 10.1080/14697680902950813.  Google Scholar

[18]

D. Li and W. L. Ng, Optimal dynamic portfolio selection: Multiperiod mean-variance formulation,, Mathematical Finance, 10 (2000), 387.   Google Scholar

[19]

X. Li and X. Y. Zhou, Continuous-time mean-variance efficiency: The 80, The Annals of Applied Probability, 16 (2006), 1751.  doi: 10.1214/105051606000000349.  Google Scholar

[20]

X. Li, X. Y. Zhou and A. E. B. Lim, Dynamic mean-variance portfolio selection with no-shorting constraints,, SIAM Journal on Control and Optimization, 40 (2002), 1540.  doi: 10.1137/S0363012900378504.  Google Scholar

[21]

A. E. B. Lim and X. Y. Zhou, Mean-variance portfolio selection with random parameters in a complete market,, Mathematics of Operations Research, 27 (2002), 101.   Google Scholar

[22]

D. G. Luenberger, Optimization by Vector Space Methods,, Wiley, (1969).   Google Scholar

[23]

H. Markowitz, Portfolio selection,, Journal of Finance, 7 (1952), 77.   Google Scholar

[24]

R. C. Merton, Lifetime portfolio selection under uncertainty: The continuous-time model,, Review of Economic and Statistics, 51 (1969), 247.   Google Scholar

[25]

C. Munk and C. Sørensen, Optimal consumption and investment strategies with stochastic interest rates,, Journal of Banking & Finance, 28 (2004), 1987.  doi: 10.1016/j.jbankfin.2003.07.002.  Google Scholar

[26]

C. Munk and C. Sørensen, Dynamic asset allocation with stochastic income and interest rates,, Journal of Financial Economics, 96 (2010), 433.  doi: 10.1016/j.jfineco.2010.01.004.  Google Scholar

[27]

C. Munk and C. Sørensen and T. N. Vinther, Dynamic asset allocation under mean-reverting returns, stochastic interest rates, and inflation uncertainty: Are popular recommendations consistent with rational behavior?,, International Review of Economics and Finance, 13 (2004), 141.   Google Scholar

[28]

P. A. Samuelson, Lifetime portfolio selection by dynamic stochastic programming,, Review of Economics and Statistics, 51 (1969), 239.  doi: 10.2307/1926559.  Google Scholar

[29]

Z. Wang and S. Y. Liu, Multi-period mean-variance portfolio selection with fixed and proportional transaction costs,, Journal of Industrial and Management Optimization, 9 (2013), 643.  doi: 10.3934/jimo.2013.9.643.  Google Scholar

[30]

H. L. Wu, Mean-variance portfolio selection with a stochastic cash flow in a markov-switching jump-diffusion market,, Journal of Optimization Theory and Applications, 158 (2013), 918.  doi: 10.1007/s10957-013-0292-x.  Google Scholar

[31]

H. X. Yao, Y. Z. Lai and Y. Li, Continuous-time mean-variance asset-liability management with endogenous liabilities,, Insurance: Mathematics and Economics, 52 (2013), 6.  doi: 10.1016/j.insmatheco.2012.10.001.  Google Scholar

[32]

H. X. Yao, Y. Z. Lai and Z. F. Hao, Uncertain exit time multi-period mean-variance portfolio selection with endogenous liabilities and Markov jumps,, Automatica, 49 (2013), 3258.  doi: 10.1016/j.automatica.2013.08.023.  Google Scholar

[33]

L. Yi, Z. F. Li and D. Li, Mutli-period portfolio selection for asset-liability management with uncertain investment horizon,, Journal of Industrial and Management Optimization, 4 (2008), 535.  doi: 10.3934/jimo.2008.4.535.  Google Scholar

[34]

H. L. Yuan and Y. J. Hu, Optimal consumption and portfolio policies with the consumption habit constraints and the terminal wealth downside constraints,, Insurance: Mathematics and Economics, 45 (2009), 405.  doi: 10.1016/j.insmatheco.2009.08.012.  Google Scholar

[35]

A. Zhang and C. O. Ewald, Optimal investment for a pension fund under inflation risk,, Mathematical Methods of Operations Research, 71 (2010), 353.  doi: 10.1007/s00186-009-0294-5.  Google Scholar

[36]

Y. Zeng, Z. F. Li and J. J. Liu, Optimal Strategies Of Benchmark And Mean-Variance Portfolio Selection Problems For Insurers,, Journal of Industrial and Management Optimization, 6 (2010), 483.  doi: 10.3934/jimo.2010.6.483.  Google Scholar

[37]

X. Y. Zhou and D. Li, Continuous-time mean-variance portfolio selection: A stochastic LQ framework,, Applied Mathematics and Optimization, 42 (2000), 19.  doi: 10.1007/s002450010003.  Google Scholar

show all references

References:
[1]

I. Bajeux-Besnainou and R. Portait, Dynamic asset allocation in a mean-variance framework,, Management Science, 44 (1998).   Google Scholar

[2]

T. R. Bielecki, H. Q. Jin, S. R. Pliska and X. Y. Zhou, Continuous-time mean-variance portfolio selection with bankruptcy prohibition,, Mathematical Finance, 15 (2005), 213.  doi: 10.1111/j.0960-1627.2005.00218.x.  Google Scholar

[3]

M. J. Brennan and Y. Xia, Dynamic asset allocation under inflation,, Journal of Finance, 57 (2002), 1201.  doi: 10.1111/1540-6261.00459.  Google Scholar

[4]

T. Chellathurai and T. Draviam, Dynamic portfolio selection with fixed and/or proportional transaction costs using non-singular stochastic optimal control theory,, Journal of Economic Dynamics and Control, 31 (2007), 2168.  doi: 10.1016/j.jedc.2006.06.006.  Google Scholar

[5]

P. Chen, H. L. Yang and G. Yin, Markowitz's mean-variance asset-liability management with regime switching: A continuous-time model,, Insurance: Mathematics and Economics, 43 (2008), 456.  doi: 10.1016/j.insmatheco.2008.09.001.  Google Scholar

[6]

Y. Y. Chou, N. W. Han and M. W. Hung, Optimal portfolio-consumption choice under stochastic inflation with nominal and indexed bonds,, Applied Stochastic Models in Business and Industry, 27 (2011), 691.  doi: 10.1002/asmb.886.  Google Scholar

[7]

O. L. V. Costa and A. D. Oliveira, Optimal mean-variance control for discrete-time linear systems with Markovian jumps and multiplicative noises,, Automatica, 48 (2012), 304.  doi: 10.1016/j.automatica.2011.11.009.  Google Scholar

[8]

R. Ferland and F. Watier, Mean-variance efficiency with extended CIR interest rates,, Applied Stochastic Models in Business and Industry, 26 (2010), 71.  doi: 10.1002/asmb.767.  Google Scholar

[9]

W. H. Fleming and H. M. Soner, Controlled Markov Processes and Viscosity Solutions,, 2ed. Springer, (2006).   Google Scholar

[10]

C. P. Fu, A. Lari-lavassani and X. Li, Dynamic mean-variance portfolio selection with borrowing constraint,, European Journal of Operational Research, 200 (2010), 313.  doi: 10.1016/j.ejor.2009.01.005.  Google Scholar

[11]

J. W. Gao, Stochastic optimal control of DC pension funds,, Insurance: Mathematics and Economics, 42 (2008), 1159.  doi: 10.1016/j.insmatheco.2008.03.004.  Google Scholar

[12]

D. Hainaut, Dynamic asset allocation under VaR constraint with stochastic interest rates,, Annals Of Operations Research, 172 (2009), 97.  doi: 10.1007/s10479-008-0509-9.  Google Scholar

[13]

N. W. Han and M. W. Hung, Optimal asset allocation for DC pension plans under inflation,, Insurance: Mathematics and Economics, 51 (2012), 172.  doi: 10.1016/j.insmatheco.2012.03.003.  Google Scholar

[14]

R. Josa-Fombellida and J. P. Rincón-Zapatero, Optimal asset allocation for aggregated defined benefit pension funds with stochastic interest rates,, European Journal of Operational Research, 201 (2010), 211.   Google Scholar

[15]

R. Korn and H. Kraft, A Stochastic control approach to portfolio problems with stochastic interest rates,, SIAM Journal on Control and Optimization, 40 (2002), 1250.  doi: 10.1137/S0363012900377791.  Google Scholar

[16]

P. Lakner and L. M. Nygren, Portfolio optimization with downside constraints,, Mathematical Finance, 16 (2006), 283.  doi: 10.1111/j.1467-9965.2006.00272.x.  Google Scholar

[17]

M. Leippold, F. Trojani and P. Vanini, Multiperiod mean-variance efficient portfolios with endogenous liabilities,, Quantitative Finance, 11 (2011), 1535.  doi: 10.1080/14697680902950813.  Google Scholar

[18]

D. Li and W. L. Ng, Optimal dynamic portfolio selection: Multiperiod mean-variance formulation,, Mathematical Finance, 10 (2000), 387.   Google Scholar

[19]

X. Li and X. Y. Zhou, Continuous-time mean-variance efficiency: The 80, The Annals of Applied Probability, 16 (2006), 1751.  doi: 10.1214/105051606000000349.  Google Scholar

[20]

X. Li, X. Y. Zhou and A. E. B. Lim, Dynamic mean-variance portfolio selection with no-shorting constraints,, SIAM Journal on Control and Optimization, 40 (2002), 1540.  doi: 10.1137/S0363012900378504.  Google Scholar

[21]

A. E. B. Lim and X. Y. Zhou, Mean-variance portfolio selection with random parameters in a complete market,, Mathematics of Operations Research, 27 (2002), 101.   Google Scholar

[22]

D. G. Luenberger, Optimization by Vector Space Methods,, Wiley, (1969).   Google Scholar

[23]

H. Markowitz, Portfolio selection,, Journal of Finance, 7 (1952), 77.   Google Scholar

[24]

R. C. Merton, Lifetime portfolio selection under uncertainty: The continuous-time model,, Review of Economic and Statistics, 51 (1969), 247.   Google Scholar

[25]

C. Munk and C. Sørensen, Optimal consumption and investment strategies with stochastic interest rates,, Journal of Banking & Finance, 28 (2004), 1987.  doi: 10.1016/j.jbankfin.2003.07.002.  Google Scholar

[26]

C. Munk and C. Sørensen, Dynamic asset allocation with stochastic income and interest rates,, Journal of Financial Economics, 96 (2010), 433.  doi: 10.1016/j.jfineco.2010.01.004.  Google Scholar

[27]

C. Munk and C. Sørensen and T. N. Vinther, Dynamic asset allocation under mean-reverting returns, stochastic interest rates, and inflation uncertainty: Are popular recommendations consistent with rational behavior?,, International Review of Economics and Finance, 13 (2004), 141.   Google Scholar

[28]

P. A. Samuelson, Lifetime portfolio selection by dynamic stochastic programming,, Review of Economics and Statistics, 51 (1969), 239.  doi: 10.2307/1926559.  Google Scholar

[29]

Z. Wang and S. Y. Liu, Multi-period mean-variance portfolio selection with fixed and proportional transaction costs,, Journal of Industrial and Management Optimization, 9 (2013), 643.  doi: 10.3934/jimo.2013.9.643.  Google Scholar

[30]

H. L. Wu, Mean-variance portfolio selection with a stochastic cash flow in a markov-switching jump-diffusion market,, Journal of Optimization Theory and Applications, 158 (2013), 918.  doi: 10.1007/s10957-013-0292-x.  Google Scholar

[31]

H. X. Yao, Y. Z. Lai and Y. Li, Continuous-time mean-variance asset-liability management with endogenous liabilities,, Insurance: Mathematics and Economics, 52 (2013), 6.  doi: 10.1016/j.insmatheco.2012.10.001.  Google Scholar

[32]

H. X. Yao, Y. Z. Lai and Z. F. Hao, Uncertain exit time multi-period mean-variance portfolio selection with endogenous liabilities and Markov jumps,, Automatica, 49 (2013), 3258.  doi: 10.1016/j.automatica.2013.08.023.  Google Scholar

[33]

L. Yi, Z. F. Li and D. Li, Mutli-period portfolio selection for asset-liability management with uncertain investment horizon,, Journal of Industrial and Management Optimization, 4 (2008), 535.  doi: 10.3934/jimo.2008.4.535.  Google Scholar

[34]

H. L. Yuan and Y. J. Hu, Optimal consumption and portfolio policies with the consumption habit constraints and the terminal wealth downside constraints,, Insurance: Mathematics and Economics, 45 (2009), 405.  doi: 10.1016/j.insmatheco.2009.08.012.  Google Scholar

[35]

A. Zhang and C. O. Ewald, Optimal investment for a pension fund under inflation risk,, Mathematical Methods of Operations Research, 71 (2010), 353.  doi: 10.1007/s00186-009-0294-5.  Google Scholar

[36]

Y. Zeng, Z. F. Li and J. J. Liu, Optimal Strategies Of Benchmark And Mean-Variance Portfolio Selection Problems For Insurers,, Journal of Industrial and Management Optimization, 6 (2010), 483.  doi: 10.3934/jimo.2010.6.483.  Google Scholar

[37]

X. Y. Zhou and D. Li, Continuous-time mean-variance portfolio selection: A stochastic LQ framework,, Applied Mathematics and Optimization, 42 (2000), 19.  doi: 10.1007/s002450010003.  Google Scholar

[1]

Alexandr Mikhaylov, Victor Mikhaylov. Dynamic inverse problem for Jacobi matrices. Inverse Problems & Imaging, 2019, 13 (3) : 431-447. doi: 10.3934/ipi.2019021
[2]

Simone Cacace, Maurizio Falcone. A dynamic domain decomposition for the eikonal-diffusion equation. Discrete & Continuous Dynamical Systems - S, 2016, 9 (1) : 109-123. doi: 10.3934/dcdss.2016.9.109
[3]

Shanjian Tang, Fu Zhang. Path-dependent optimal stochastic control and viscosity solution of associated Bellman equations. Discrete & Continuous Dynamical Systems - A, 2015, 35 (11) : 5521-5553. doi: 10.3934/dcds.2015.35.5521
[4]

Diana Keller. Optimal control of a linear stochastic Schrödinger equation. Conference Publications, 2013, 2013 (special) : 437-446. doi: 10.3934/proc.2013.2013.437
[5]

Bin Pei, Yong Xu, Yuzhen Bai. Convergence of p-th mean in an averaging principle for stochastic partial differential equations driven by fractional Brownian motion. Discrete & Continuous Dynamical Systems - B, 2020, 25 (3) : 1141-1158. doi: 10.3934/dcdsb.2019213
[6]

Nhu N. Nguyen, George Yin. Stochastic partial differential equation models for spatially dependent predator-prey equations. Discrete & Continuous Dynamical Systems - B, 2020, 25 (1) : 117-139. doi: 10.3934/dcdsb.2019175
[7]

Xingchun Wang, Yongjin Wang. Variance-optimal hedging for target volatility options. Journal of Industrial & Management Optimization, 2014, 10 (1) : 207-218. doi: 10.3934/jimo.2014.10.207
[8]

Haibo Cui, Haiyan Yin. Convergence rate of solutions toward stationary solutions to the isentropic micropolar fluid model in a half line. Discrete & Continuous Dynamical Systems - B, 2020  doi: 10.3934/dcdsb.2020210
[9]

F.J. Herranz, J. de Lucas, C. Sardón. Jacobi--Lie systems: Fundamentals and low-dimensional classification. Conference Publications, 2015, 2015 (special) : 605-614. doi: 10.3934/proc.2015.0605
[10]

Xianchao Xiu, Ying Yang, Wanquan Liu, Lingchen Kong, Meijuan Shang. An improved total variation regularized RPCA for moving object detection with dynamic background. Journal of Industrial & Management Optimization, 2020, 16 (4) : 1685-1698. doi: 10.3934/jimo.2019024
[11]

Yuncherl Choi, Taeyoung Ha, Jongmin Han, Sewoong Kim, Doo Seok Lee. Turing instability and dynamic phase transition for the Brusselator model with multiple critical eigenvalues. Discrete & Continuous Dynamical Systems - A, 2021  doi: 10.3934/dcds.2021035
[12]

Guido De Philippis, Antonio De Rosa, Jonas Hirsch. The area blow up set for bounded mean curvature submanifolds with respect to elliptic surface energy functionals. Discrete & Continuous Dynamical Systems - A, 2019, 39 (12) : 7031-7056. doi: 10.3934/dcds.2019243
[13]

Vladimir Georgiev, Sandra Lucente. Focusing nlkg equation with singular potential. Communications on Pure & Applied Analysis, 2018, 17 (4) : 1387-1406. doi: 10.3934/cpaa.2018068
[14]

Daoyin He, Ingo Witt, Huicheng Yin. On the strauss index of semilinear tricomi equation. Communications on Pure & Applied Analysis, 2020, 19 (10) : 4817-4838. doi: 10.3934/cpaa.2020213
[15]

Charles Fulton, David Pearson, Steven Pruess. Characterization of the spectral density function for a one-sided tridiagonal Jacobi matrix operator. Conference Publications, 2013, 2013 (special) : 247-257. doi: 10.3934/proc.2013.2013.247
[16]

J. Frédéric Bonnans, Justina Gianatti, Francisco J. Silva. On the convergence of the Sakawa-Shindo algorithm in stochastic control. Mathematical Control & Related Fields, 2016, 6 (3) : 391-406. doi: 10.3934/mcrf.2016008
[17]

Seung-Yeal Ha, Dongnam Ko, Chanho Min, Xiongtao Zhang. Emergent collective behaviors of stochastic kuramoto oscillators. Discrete & Continuous Dynamical Systems - B, 2020, 25 (3) : 1059-1081. doi: 10.3934/dcdsb.2019208
[18]

María J. Garrido-Atienza, Bohdan Maslowski, Jana  Šnupárková. Semilinear stochastic equations with bilinear fractional noise. Discrete & Continuous Dynamical Systems - B, 2016, 21 (9) : 3075-3094. doi: 10.3934/dcdsb.2016088
[19]

Naeem M. H. Alkoumi, Pedro J. Torres. Estimates on the number of limit cycles of a generalized Abel equation. Discrete & Continuous Dynamical Systems - A, 2011, 31 (1) : 25-34. doi: 10.3934/dcds.2011.31.25
[20]

Ardeshir Ahmadi, Hamed Davari-Ardakani. A multistage stochastic programming framework for cardinality constrained portfolio optimization. Numerical Algebra, Control & Optimization, 2017, 7 (3) : 359-377. doi: 10.3934/naco.2017023

2019 Impact Factor: 1.366

Tools

Metrics

  • PDF downloads (174)
  • HTML views (0)
  • Cited by (1)

Other articles
by authors

[Back to Top]

Copyright © 2021 American Institute of Mathematical Sciences