Searcharxiv⌕ Search

arXiv · 2611.00466

Security and Derivative Pricing with Fast Regime Switches

Abstract

A regime-switching model lets any parameter of a standard model take a different value in each state of a hidden Markov chain. For the affine and exponential-Lévy models in common use the pricing problem reduces to one linear system, a' = (Q + diag g(t)) a, with the chain's generator Q and a model-specific forcing g as its only ingredients. We expand its solution in the mean holding time of the chain to any order, with an initial layer for the starting regime, and identify the first correction as a Green-Kubo matrix from the group inverse of Q. The same system prices bonds, swaptions, caps, credit default swaps, Asian and digital options, and equity options under stochastic rates, with the Gil-Pelaez integrals conditioned on the regime at expiry where a payoff depends on it; barrier, American and Bermudan instruments go to the coupled equations on a grid. Every numerical claim is checked against QuantLib in the limit where the regimes coincide and against an independent referee with switching on, and the implementation is public.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Peter Cotton. 2026-10-30. Security and Derivative Pricing with Fast Regime Switches. https://arxiv.org/abs/2611.00466

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Walraswap: equilibrium-based decentralized exchange integrating external AMM liquidity

This article advocates the development of a decentralized exchange protocol for Ethereum based on Walrasian equilibrium. Building on previous work (arXiv:2111.02719, arXiv:2210.04929), it develops a mathematical framework that incorporates liquidity from independent automated market makers (AMMs). Trade orders are represented by continuous monotonic pairwise supply functions and external AMMs are represented by concave swap functions. Under a connectivity condition, we establish the existence of a common clearing-price vector and external swaps that jointly fulfill the prescribed orders while leaving a nonnegative surplus of every token. External AMMs execute ordinary swaps according to their own pricing rules, including swap fees. For the selected clearing-price vector, the prescribed external swaps maximize the value of the batch surplus. We also establish structural properties of equilibrium, including invariance of individual net trades across equilibria, and formulate equilibrium computation as a convex optimization problem. We then outline Walraswap, an exchange protocol for Ethereum with off-chain batch construction and on-chain settlement. Its proposed governance and solver accountability mechanisms aim to encourage public order disclosure and discourage censorship. The protocol design explores how the mathematical construction could support decentralized trading with reduced opportunities for maximal extractable value.

q-fin.MF↗

Partially Active Automated Market Makers

We introduce a new class of automated market maker (AMM), the \emph{partially active automated market maker} (PA-AMM). PA-AMM divides its reserves into two parts, the active and the passive parts, and uses only the active part for trading. At the top of every block, such a division is done again to keep the active reserves always being \(λ\)-portion of total reserves, where \(λ\in (0, 1]\) is an activeness parameter. We show that this simple mechanism reduces adverse selection costs, measured by loss-versus-rebalancing (LVR), and thereby improves the wealth of liquidity providers (LPs) relative to plain constant-function market makers (CFMMs). As a trade-off, the asset weights within a PA-AMM pool may deviate from their target weights implied by its invariant curve. Motivated by the optimal index-tracking problem literature, we also propose and solve an optimization problem that balances such deviation and the reduction of LVR.

q-fin.MF↗

Does the Market Anticipate? Can it? Should it?

A nuance to 'no arbitrage' is studied: it can be suboptimal to act upon an arbitrage immediately; in such cases optimised trading can suppress the anticipation of predictable risk-outcomes, creating an apparent Status Quo Bias. This is shown for asset-pricing under model- or event-risk. Unlike standard treatments, we allow pre-horizon revelations of risk-outcomes; the associated technical challenges are addressed through results from the weak viability and (in)side-information literature. The conflict between 'anticipation', 'no arbitrage' and 'information efficiency', and the competition between the 'signal-to-noise of data' and the 'inference-free risk-premium drift', are exposed.

q-fin.MF↗