← Back to News
Two topics in mathematical finance: mandate models and mean-variance hedging

Two topics in mathematical finance: mandate models and mean-variance hedging

Two topics in mathematical finance: mandate models and mean-variance hedging LSE Research Online Home home About

fingerprint Deposit upload Policies policy Statistics bar_chart Department school Item type interests LSE creators

person Funder currency_pound Year calendar_month Admin login login Search Repository search Search Deposit Two topics in

mathematical finance: mandate models and mean-variance hedging Sun, R. (2026). Two topics in mathematical finance:

mandate models and mean-variance hedging [PhD thesis]. London School of Economics and Political Science.

https://doi.org/10.21953/researchonline.lse.ac.uk.00140476 Copy Share Abstract This thesis explores two distinct

research directions in mathematical finance. The first part is motivated by the inelastic market hypothesis, which

suggests that the aggregate equity market displays only small price elasticity. In the interpretation of Gabaix and

Koijen (2023), this phenomenon arises because institutional investors operate under investment mandates, meaning

explicit allocation rules that prescribe how capital must be distributed across assets. In this part, we develop a

rigorous framework of a mandate model for a representative agent and provide precise conditions under which the stock

capitalisation dynamics are well defined. We also study how mandates amplify or attenuate the response of stock

capitalisation to changes in bond capitalisation. We furthermore formulate conditions under which different funds, each

one equipped with their own mandate, can be aggregated to a representative fund. The second part studies the

mean-variance hedging problem originally considered by Duffie and Richardson (1991), where a stock position is

dynamically hedged by trading futures contracts. In their model, the stochastic logarithms of the price processes are

continuous processes with independent increments. We extend this setting to a semi-martingale framework with independent

increments, allowing for jump components. Optimal strategies are obtained using results from the general quadratic

hedging literature, in particular the framework of Černý and Kallsen (2007). Item Type Thesis (PhD) Copyright holders

© 2026 Yueying Sun Departments LSE > Academic Departments > Mathematics DOI

10.21953/researchonline.lse.ac.uk.00140476 Supervisor Ruf, Johannes, Veraart, Luitgard Date Deposited 6 August 2026 URI

https://researchonline.lse.ac.uk/id/eprint/140476 Explore Further Sun, Yueying QA MathematicsHG Finance Close

picture_as_pdf subject Submitted Version Download Download this file Share Share this file EndNote BibTeX Reference

Manager (RIS) Refer Atom Dublin Core JSON Multiline CSV OPENAIRE Export Export this record Downloads View more

statistics Contact Us Policies Accessibility Statement LSE Research Online is powered by EPrints 3.4 and is hosted and

managed by CoSector, University of London LSE Research Online supports OAI 2.0

Source: researchonline.lse.ac.uk