Portfolio Choice with Stochastic Investment Opportunities: a User's Guide

Ren Liu, Johannes Muhle‐Karbe

arXiv (Cornell University) · 2013 · 13 citations · 39 references

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Abstract

This survey reviews portfolio choice in settings where investment opportunities are stochastic due to, e.g., stochastic volatility or return predictability. It is explained how to heuristically compute candidate optimal portfolios using tools from stochastic control, and how to rigorously verify their optimality by means of convex duality. Special emphasis is placed on long-horizon asymptotics, that lead to particularly tractable results.

References

39