Dynamic portfolio optimization: a simulation and regression approach applied to a multi asset portfolio choice problem

Pretti, Luigi (A.A. 2019/2020) Dynamic portfolio optimization: a simulation and regression approach applied to a multi asset portfolio choice problem. Tesi di Laurea in Asset pricing, Luiss Guido Carli, relatore Paolo Porchia, pp. 122. [Master's Degree Thesis]

[img]
Preview
PDF (Full text)
Download (2MB) | Preview

Abstract/Index

Myopic portfolio choice. Defining a financial asset return. Portfolio returns and the effect of diversification. The Markowitz approach. Limits of the myopic portfolio choice. Utility functions. Definition of expected utility. Quadric utility, exponential utility and power utility. Dynamic portfolio choice. Merton's approach to portfolio choice in continuous time. Dynamic portfolio choice in discrete time. Description of the problem. Methodology. Expanding the value function. Backward recursion by approximating terminal wealth. Imposing constraint on the portfolio weights. Implementation. Description of the dynamic strategy. Results. Mean asset allocation and performance measures. Gains of the dynamic strategy. Alternative individual characteristics.

References

Bibliografia: pp. 92-96.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77)
Chair: Asset pricing
Thesis Supervisor: Porchia, Paolo
Thesis Co-Supervisor: Torrisi, Alfio
Academic Year: 2019/2020
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 09 Apr 2021 10:22
Last Modified: 09 Apr 2021 10:22
URI: https://tesi.luiss.it/id/eprint/28986

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item