Time-consistent lifetime portfolio selection under smooth ambiguity

Luyang Yu; Liyuan Lin; Guohui Guan; Jingzhen Liu

doi:10.3934/mcrf.2022023

Article Contents

2023, Volume 13, Issue 3: 967-987. Doi: 10.3934/mcrf.2022023

This issue Previous Article Lifespan estimates of solutions to quasilinear wave equations with damping and negative mass term Next Article Barrier Lyapunov functions-based adaptive neural tracking control for non-strict feedback stochastic nonlinear systems with full-state constraints: A command filter approach

Time-consistent lifetime portfolio selection under smooth ambiguity

1.
China Institute for Actuarial Science, Central University of Finance and Economics, Beijing 100081, China
2.
Department of Statistics and Actuarial Science, University of Waterloo, Canada
3.
School of Statistics, Renmin University of China, Beijing 100874, China

^*Corresponding author: Jingzhen Liu
^*Corresponding author: Jingzhen Liu

Received: November 2021

Revised: April 2022

Early access: May 2022

Published: September 2023

The corresponding author is supported by National Natural Science Foundation of China (11771466, 11901574)

Abstract Full Text(HTML) Figure(12) / Table(1) Related Papers Cited by

Abstract

This paper studies the optimal consumption, life insurance and investment problem for an income earner with uncertain lifetime under smooth ambiguity model. We assume that risky assets have unknown market prices that result in ambiguity. The individual forms his belief, that is, the distribution of market prices, according to available information. His ambiguity attitude, which is similar to the risk attitude described by utility function $ U $, is represented by an ambiguity preference function $ \phi $. Under the smooth ambiguity model, the problem becomes time-inconsistent. We derive the extended Hamilton-Jacobi-Bellman (HJB) equation for the equilibrium value function and equilibrium strategy. Then, we obtain the explicit solution for the equilibrium strategy when both $ U $ and $ \phi $ are power functions. We find that a more risk- or ambiguity-averse individual will consume less, buy more life insurance and invest less. Moreover, we find that the Tobin-Markowitz separation theorem is no longer applicable when ambiguity attitude is taken into consideration. The investment strategy will change with the characteristics of the decision maker, such as risk attitude, ambiguity attitude and age.

Keywords:

Mathematics Subject Classification: Primary: 91B08, 91B51; Secondary: 91G80.

Citation:

Full Text(HTML)

Figure 1. Effect of $ \alpha $ on consumption

Download: Full-size image PowerPoint slide

Figure 2. Effect of $ \alpha $ on premium

Download: Full-size image PowerPoint slide

Figure 3. Effect of $ \alpha $ on investment

Download: Full-size image PowerPoint slide

Figure 4. Effect of $ \alpha $ on investment share

Download: Full-size image PowerPoint slide

Figure 5. Effect of $ \gamma $ on consumption

Download: Full-size image PowerPoint slide

Figure 6. Effect of $ \gamma $ on premium

Download: Full-size image PowerPoint slide

Figure 7. Effect of $ \gamma $ on investment

Download: Full-size image PowerPoint slide

Figure 8. Effect of $ \gamma $ on investment share

Download: Full-size image PowerPoint slide

Figure 9. Effects of $ \sigma $ and $ \gamma $ on risk investment

Download: Full-size image PowerPoint slide

Figure 10. Effects of $ \sigma $ and $ \alpha $ on risk investment

Download: Full-size image PowerPoint slide

Figure 11. Effects of $ \mu $ and $ \gamma $ on risk investment

Download: Full-size image PowerPoint slide

Figure 12. Effects of $ \mu $ and $ \alpha $ on risk investment

Download: Full-size image PowerPoint slide

Table 1. Values of the parameters

Text interpretation	Symbol	Value
risk-free interest rate	$ r $	0.03
discount rate	$ \beta $	0.04
mortality hazard function	$ \mu(t) $	$ \frac{e^{\frac{t-86.3}{9.5}}}{9.5} $
premium rate	$ \eta(t) $	$ 1.1\mu(t) $
income	$ i(t) $	$ 50000e^{0.04t} $
retirement time	$ T $	40
volatility of risky assets	$ \sigma_1 $, $ \sigma_2 $	2.5%
distribution of $ \lambda_1 $	$ N(u_1, \Sigma_1) $	$ N(0.1, 0.3) $
distribution of $ \lambda_2 $	$ N(u_2, \Sigma_2) $	$ N(0.1, 0.5) $
initial wealth	$ X(0) $	20000
risk aversion	$ \gamma $	2
ambiguity aversion	$ \alpha $	2

| Show Table

DownLoad: CSV

Related Papers

Cited by

References

[1]	T. Björk, M. Khapko and A. Murgoci, On time-inconsistent stochastic control in continuous time, Finance Stoch., 21 2017,331–360. doi: 10.1007/s00780-017-0327-5.
[2]	H. Chen, M. Sherris, T. Sun and W. G. Zhu, Living with ambiguity: Pricing mortality-linked securites with smooth ambiguity preferences, The Journal of Risk and Insurance, 80 (2013), 705-732.
[3]	I. Ekeland, O. Mbodji and T. A. Pirvu, Time-consistent portfolio management, SIAM Journal of Financial Math., 3 (2012), 1-32. doi: 10.1137/100810034.
[4]	D. Ellsberg, Risk, ambiguity, and the savage axioms, Quart. J. Econom., 75 (1961), 643-669. doi: 10.2307/1884324.
[5]	W. Fei, Optimal consumption and portfolio choice with ambiguity and anticipation, Inform. Sci., 177 (2007), 5178-5190. doi: 10.1016/j.ins.2006.07.028.
[6]	W. Fei, Optimal portfolio choice based on alpha-MEU under ambiguity, Stochastic Model, 25 (2009), 455-482. doi: 10.1080/15326340903088826.
[7]	P. Ghirardato, F. Maccheroni and M. Marinacci, Ambiguity from the Differential Viewpoint, Discussion Paper, ICER, 2002.
[8]	I. Gilboa and D. Schmeidler, Maxmin expected utility with non-unique prior, J. Math. Econom., 18 (1989), 141-153. doi: 10.1016/0304-4068(89)90018-9.
[9]	G. Guan, Z. Liang and J. Feng, Time-consistent proportional and investment strategies under ambiguity environment, Insurance Math. Econom., 83 (2018), 122-183. doi: 10.1016/j.insmatheco.2018.09.007.
[10]	L. P. Hansen and T. J. Sargent, Robustness, Princeton University Press, Princeton, NJ, 2008. doi: 10.1515/9781400829385.
[11]	D. Hu, S. Chen and H. Wang, Robust reinsurance contracts with uncertainty about jump risk, European J. Oper. Res., 266 (2018), 1175-1188. doi: 10.1016/j.ejor.2017.10.061.
[12]	D. Hu and H. Wang, Reinsurance contract design when the insurer is ambiguity-averse, European J. Oper. Res., 86 (2019), 241-255. doi: 10.1016/j.insmatheco.2019.03.007.
[13]	N. Jensen, Life insurance decisions under recursive utility, Scand. Actuar. J., (2019), 204–227. doi: 10.1080/03461238.2018.1541025.
[14]	N. Ju and J. Miao, Ambiguity, learning, and asset returns, Econometrica, 80 (2012), 559-591. doi: 10.3982/ECTA7618.
[15]	P. Klibanoff, M. Marinacci and S. Mukerji, A smooth model of decision making under ambiguity, Econometrica, 73 (2005), 1849-1892. doi: 10.1111/j.1468-0262.2005.00640.x.
[16]	F. Knight, Risk, Uncertainty and Profit, Boston: Houghton Mifflin, 1921. doi: 10.1017/CBO9780511817410.005.
[17]	B. Li, P. Luo and D. Xiong, Equilibrium strategies for alpha-maxmin expected utility maximization, SIAM J. Financial Math., 10 (2019), 394-429. doi: 10.1137/18M1178542.
[18]	Z. X. Liang and X. Y. Zhao, Optimal investment, consumption and life insurance under stochastic framework, Scientia Sinica Mathematica, 46 (2016), 1863-1882.
[19]	J. Liu, L. Lin, K. F. C. Yiu and J. Wei, Non-exponential discounting portfolio management with habit formation, Math. Control Relat. Fields, 10 (2020), 761-783. doi: 10.3934/mcrf.2020019.
[20]	P. J. Maenhout, Robust portfolio rules and asset pricing, The Peview of Financial Studies, 17 (2004), 951-983. doi: 10.1093/rfs/hhh003.
[21]	R. Mehra and E. C. Prescott, The equity premium: A puzzle, Journal of Monetary Economics, 15 (1985), 145-161. doi: 10.1016/0304-3932(85)90061-3.
[22]	R. C. Merton, Lifetime portfolio selection under uncertainty: The continuous-time case, The Review of Economics and Statistics, 51 (1969), 247-257. doi: 10.2307/1926560.
[23]	S. Peng, $G$-expectation, $G$-Brownian motion and related stochastic calculus of itô type, Stochastic Analysis and Applications, Abel Symp., Springer, Berlin, 2 (2007), 541-567. doi: 10.1007/978-3-540-70847-6_25.
[24]	S. R. Pliska and J. Ye, Optimal life insurance purchase and consumption/investment under uncertain lifetime, Journal of Banking and Finance, (2007), 1307–1319.
[25]	S. F. Richard, Optimal consumption, portfolio and life insurance rules for an uncertain lived individual in a continuous time model, Journal of Financial Economics, 1975 (1975), 187-203. doi: 10.1016/0304-405X(75)90004-5.
[26]	F. T. Seifried, Optimal investment for worst-case crash scenarios: A martingale approach, Math. Oper. Res., 35 (2010), 559-579. doi: 10.1287/moor.1100.0459.
[27]	Y. Shen and J. Wei, Optimal investment-consumption-insurance with random parameters, Scand. Actuar. J., (2016), 37–62. doi: 10.1080/03461238.2014.900518.
[28]	M. Taboga, Portfolio selection with two-stage preferences, Financial Research Letters, 2 (2005), 152-164. doi: 10.1016/j.frl.2005.06.003.