Numeraire-invariant quadratic hedging and mean--variance portfolio allocation
Ale\v{s} \v{C}ern\'y, Christoph Czichowsky, and Jan Kallsen

TL;DR
This paper develops a numeraire-invariant quadratic hedging framework in semimartingale markets, providing explicit strategies and a unified approach that does not require a risk-free asset, enhancing understanding of portfolio optimization.
Contribution
It introduces a novel equivalence result allowing direct computation of optimal strategies without numeraire change, applicable even without a risk-free asset.
Findings
Explicit optimal strategies using oblique projections
Unified treatment of markets with or without risk-free assets
Streamlined computation of the efficient frontier
Abstract
The paper investigates quadratic hedging in a semimartingale market that does not necessarily contain a risk-free asset. An equivalence result for hedging with and without numeraire change is established. This permits direct computation of the optimal strategy without choosing a reference asset and/or performing a numeraire change. New explicit expressions for optimal strategies are obtained, featuring the use of oblique projections that provide unified treatment of the case with and without a risk-free asset. The analysis yields a streamlined computation of the efficient frontier for the pure investment problem in terms of three easily interpreted processes. The main result advances our understanding of the efficient frontier formation in the most general case where a risk-free asset may not be present. Several illustrations of the numeraire-invariant approach are given.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling
