Application of Legendre Transformation to Portfolio Optimization
Authors: Peter Benneth, Tsaroh N. Theophilus, Prince Benjamin
Abstract:
This research work aims at studying the application of Legendre Transformation Method (LTM) to Hamilton Jacobi Bellman (HJB) equation which is an example of optimal control problem. We discuss the steps involved in modelling the HJB equation as it relates to mathematical finance by applying the Ito’s lemma and maximum principle theorem. By applying the LTM and dual theory, the resultant HJB equation is transformed to a linear Partial Differential Equation (PDE). Also, the Optimal Investment Strategy (OIS) and the optimal value function were obtained under the exponential utility function. Furthermore, some numerical results were also presented with observations that the OIS under exponential utility is directly proportional to the appreciation rate of the risky asset and inversely proportional to the instantaneous volatility, predetermined interest rate, risk averse coefficient. Finally, it was observed that the optimal fund size is an increasing function of the risk free interest rate. This result is consistent with some existing results.
Keywords: Legendre transformation method, Optimal investment strategy, Ito’s lemma, Hamilton Jacobi Bellman equation, Geometric Brownian motion, financial market.
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[1] Rao, K. S., and Nandy, S. (1992) Solving optimal control problems using the Legendre transformation method,” Journal of Optimization Theory and Applications. 72, 1, 1-14.
[2] Gao J. (2008) Stochastic Optimal control of DC Pension funds. Insurance.42(3):1159-1164.
[3] Gao J., (2009). Optimal portfolios for DC pension plan under a CEV model. Insurance Mathematics and Economics, 44, 3, 479-490.
[4] Cao Y. & Wan N. (2009). Optimal proportional reinsurance and investment based on Hamilton-Jacobi-Bellman equation, Insurance: Mathematics and Economics, 45, 2. 157-162.
[5] Lin X. and Li Y. (2011). Optimal reinsurance and investment for a jump diffusion risk process under the CEV model, North American Actuarial Journal, 15, 3, 417-431.
[6] Gu, A., Guo, X., Li, Z. &Zeng, Y. (2012). Optimal control of excess-of-loss reinsurance and investment for insurers under a CEV model. Insurance: Mathematics and Economics, 51, 3. 674-684.
[7] Li, Q. and Gu, M. (2013). Optimization Problems of Excess-of-Loss Reinsurance and Investment under the CEV Model. Mathematical Analysis, 2013. 1-10.
[8] Egbe, G. A, Awogbemi, C. A. &Osu, B. O. (2013). Portfolio optimization of pension fund contribution in Nigeria. Mathematical theory and Modelling, 3, 8, 42-52.
[9] He L. & Liang. Z. (2013). The optimal investment strategy for the DC plan with the return of premiums clauses in a mean-variance framework, Insurance, 53, 643-649.
[10] Li D., Rong X. & Zhao H. (2014). Optimal reinsurance-investment problem for maximizing the product of the insurer's and the reinsurer's utilities under a CEV model, Journal of Computational and Applied Mathematics, 255, 671-683.
[11] Sheng, D. L. &Rong, X. M. (2014). Optimal time consistent investment strategy for a DC pension with the return of premiums clauses and annuity contracts, Discrete Dynamics. Natural Science,2014, 1-13
[12] Li D., Rong X. & Zhao H. (2015). Optimal investment problem for an insurer and a reinsurer, Journal of Systems Science and Complexity, 28, 6, 1326-1343.
[13] Ihedioha, S. A. (2015). Optimal Portfolios of an Insurer and a Reinsurer under Proportional Reinsurance and Power Utility Preference, Open Access Library Journal, 2, 12, 1-11.
[14] Sheng D. (2016). Explicit Solution of the Optimal Reinsurance-Investment Problem with Promotion Budget, Journal of Systems Science and Information, 4, 2, 131-148.
[15] Osu, B. O., Akpanibah, E. E. &Oruh, B. I. (2017). Optimal investment strategies for defined contribution pension fund with multiple contributors via Legendre transform and dual theory. 2, 2, 97-105.
[16] Akpanibah, E. E., Osu, B. O., Njoku, K.N. C. &Akak E. O. (2017). Optimization of Wealth Investment Strategies for a DC Pension Fund with Stochastic Salary and Extra Contributions. International Journal of Partial Diff. Equations and Application, 5,1, 33-41.
[17] Osu, B. O., Akpanibah, E. E. &Njoku, K.N.C. (2017). On the Effect of Stochastic Extra Contribution on Optimal Investment Strategies for Stochastic Salary under the Affine Interest Rate Model in a DC Pension Fund, General Letters in Mathematics, 2, 3, 138-149.
[18] Njoku, K.N. C, Osu, B. O. Akpanibah, E. E. &Ujumadu, R. N. (2017). Effect of Extra Contribution on Stochastic Optimal Investment Strategies for DC Pension with Stochastic Salary under the Affine Interest Rate Model. Journal of Mathematical Finance, 7, 821-833.
[19] Akpanibah, E. E. and Ogheneoro, O. (2018). Optimal Portfolio Selection in a DC Pension with Multiple Contributors and the Impact of Stochastic Additional Voluntary Contribution on the Optimal Investment Strategy. International journal of mathematical and computational sciences, 12(1): 14-19.
[20] Wang, Y., Rong, X. & Zhao, H. (2018). Optimal investment strategies for an insurer and a reinsurer with a jump diffusion risk process under the CEV model, Journal of Computational and Applied Mathematics, 328, 414-431.
[21] Osu, B.O., Akpanibah, E.E, & Olunkwa, O. (2018). Mean-Variance Optimization of portfolios with returns of premium clauses in DC pension plan with multiple contributors under constant elasticity of variance model. international journal of mathematical and computational sciences pure, 12(5), 85-90
[22] Chunxiang, A., Lai, Y & Shao, Y. (2018). Optimal excess-of-loss reinsurance and investment problem with delay and jump diffusion risk process under the CEV model, Journal of Computational and Applied Mathematics, 342, 317-336.
[23] E. E. Akpanibah, B. O. Osu. Optimal Portfolio Selection for a Defined Contribution Pension Fund with Return Clauses of Premium with Predetermined Interest Rate under Mean variance Utility. Asian Journal of Mathematical Sciences. 2(2), (2018), 19 –29.
[24] Deng, C., Bian, W. & Wu, B. (2019). Optimal reinsurance and investment problem with default risk and bounded memory. International Journal of Control, 2019, 1-113.
[25] Xiao, H. Ren, T. Bai, Y. & Zhou, Z. (2019). Time-consistent investment reinsurance strategies for the insurer and the reinsurer under the generalized mean-variance criteria. Mathematics, 7, 1-25.
[26] Akpanibah, E. E., Osu, B. O., Oruh, B. I. & Obi, C. N. (2019). Strategic optimal portfolio management for a DC pension scheme with return of premium clauses. Transaction of the Nigerian association of mathematical physics, 8, 1, 121-130.
[27] Mwanakatwe P. K., Wang X. &Su Y. (2019). Optimal investment and risk control strategies for an insurance fund in stochastic framework, Journal of Mathematical Finance, 9, 3, 254-265.
[28] Akpanibah, E. E., Osu, B. O. & Ihedioha, S. A. (2020). On the optimal asset allocation strategy for a defined contribution pension system with refund clause of premium with predetermined interest under Heston’s volatility model. Journal of. Nonlinear Science and Application, 13, 1, 53-64.
[29] Malik M., Abas S., Sukono M. &Prabowo A. (2020). Optimal reinsurance and investment strategy under CEV model with fractional power utility function, Engineering Letters, 28, 4, 1-6.
[30] Zhu J. & Li S. (2020). Time-consistent investment and reinsurance strategies for mean- variance insurers under stochastic interest rate and stochastic volatility, Mathematics, 8, 2162-2183.
[31] E. E. Akpanibah, U. O. Ini. Portfolio strategy for an investor with logarithm utility and stochastic interest rate under constant elasticity of variance model, Journal of the Nigerian Society of Physical Sciences, 2 (3) (2020), 186-196.
[32] E. E.Akpanibah, U. O. Ini. An investor's investment plan with stochastic interest rate under the CEV model and the Ornstein-Uhlenbeck process, Journal of the Nigerian Society of Physical Sciences, 3 (3), (2021), 186-196.
[33] Amadi U. I., Ogbogbo, C. P. &Osu, B. O. (2022). Stochastic analysis of stock price changes as markov chain in finite states. Global journal of pure and applied sciences, 28, 1, 91-98.
[34] Bertsekas, D. P. (2012), Dynamic programming and optimal control. Athena Scientific 2012, 2(4)
[35] Xiao, J., Hong, Z., And C. (2007). The constant elasticity of variance (CEV) model and the Legendre transform dual solution for annuity contracts. Insurance: Mathematics and Economics, 40(2),302-310.
[36] Gao, J. (2012). Optimal investment and consumption with stochastic interest rate and inflation under power utility. Journal of Optimization Theory and Applications, 154(3), 937-956.
[37] Gao, J. (2013). Optimal consumption and investment with stochastic interest rate and inflation: Legendre transform method. Journal of Industrial and Management Optimization, 9(4), 767-785.
[38] Dawei G and Jingyi Z (2014). “Optimal investment strategies for defined contribution Pension funds with multiple contributors”, http://ssrn.com/abstract=2508109
[39] Akpanibah, E. E. &Samaila, S. K. (2017). Stochastic strategies for optimal investment in a defined contribution (DC) pension fund. International Journal of Applied Science and Mathematical Theory, 3, 3, 48-55.
[40] Li, X., Zhang, X., & Li, D. (2021). A unified solution of optimal constant rebalancing problem by Legendre transformation. Journal of Systems Science and Complexity, 34(1), 127-148.
[41] Cheng, X., & Liu, H. (2016). On a class of stochastic optimal control problems with nonlinear cost functional. Journal of Industrial and Management Optimization, 12(1), 1-18
[42] Chen, Z., Li, X., & Yan, Y. (2019). A numerical method for solving singular stochastic control problems based on the Legendre transformation. Numerical Algebra, Control and Optimization, 9(1), 67-82.
[43] Chang, H., & Chang, K. (2014). Investment and consumption problem with stochastic interest rate: Legendre transform-dual solution. Journal of Industrial and Management Optimization, 10(1), 127-142.
[44] Bian, L, Li, Z., & Yao, H. (2021) Journal of Industrial & Management Optimization. 17(3), 1383-1410.
[45] Ohtsuka, H., & Takeishi, S. (2017). A numerical method for solving Hamilton-Jacobi-Bellman equations using the Legendre transformation. Applied Mathematics Letters, 69, 53-60.
[46] Jonsson, M. and Sircar, R. (2002). Optimal investment problems and volatility homogenization approximations. Modern Methods in Scientific Computing and Applications NATO Science Series II,75:255-281.
[47] Hamilton, W. R. (1834). On a general Method in Dynamics. Philosophical Transactions of the Royal Society, part II, 247-308.
[48] Bellman R. (1957). A Markovian decision process. Journal of Mathematics and Mechanics, 6, 679-684.
[49] Bright O. Osu, Edikan E. Akpanibah and Godswill A. Egbe (2018). Determination of Optimal Investment Strategies for a Defined Contribution pension Fund with Multiple Contributors, Proportional Administrative Cost and Taxation. MATLAB Journal, vol 1(1), 40 – 46.
[50] Liu, H. (2013). An Application of Legendre Transform-dual Solutions for DC Pension Funds Optimal Investment Strategy under Background Risk. Industrial Engineering and Engineering Management, https://en.cnki.com.cn/Article_en/CJFDTOTALGLGU201303021.htm