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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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48 results for partial equilibrium

The paper analyzes how investors' wealth can decline collectively under partial information.

problem Investors' wealth can decline collectively under partial information.
method The paper derives a Nash equilibrium for mean-variance portfolio selection under relative performance criteria, considering both full and partial information.
result Relative performance criteria can lead to downward self-reinforcement of investors' wealth, which is more pronounced under partial information.

Study shows how to calculate the volume of pseudoeffective line bundles on Kähler manifolds.

problem Calculating the volume of pseudoeffective line bundles on Kähler manifolds.
method Using a limit of section dimensions and a model potential associated to the line bundle.
result The limit of knh0(X,LkI(ku))k^{-n}h^0(X,L^k\otimes \mathcal I(ku)) equals the non-pluripolar volume of P[u]IP[u]_\mathcal I.

Study dynamic equilibrium with insider and general uninformed agent preferences.

problem Analyzing asymmetric information and general utility functions in a continuous-time economy.
method Introducing a new method to prove existence of a partial communication equilibrium (PCE) for agents with general utility functions.
result Identify the equilibrium price in the small and large risk aversion limits for agents with power utility.

In common finance literature, Black-Scholes partial differential equation of option pricing is usually derived with no-arbitrage principle. Considering an asset market, Merton applied the Hamilton-Jacobi-Bellman techniques of his continuous-time consumption-portfolio problem, deriving general equilibrium relationships …

1998-05-10abs ↗pdf ↗

Proposes a robust equilibrium strategy for mean-variance portfolio selection.

problem Time-inconsistency in mean-variance portfolio selection.
method Introduces a novel definition of robust equilibrium strategy and solves the corresponding PDE system.
result A classical solution to the PDE system implies a robust equilibrium strategy.

Machine learning speeds up chemical equilibrium calculations in reactive transport simulations.

problem High computational cost of chemical equilibrium calculations in reactive transport models.
method Machine learning method to quickly estimate new equilibrium states based on previous calculations.
result Achieved almost two orders of magnitude speedup in equilibrium calculations.

Study proves existence and convergence of discrete-time Kyle models with multiple insiders.

problem Existence and convergence of discrete-time Kyle models with multiple informed traders.
method Proves existence and convergence of discrete-time Kyle models with multiple informed traders using mathematical proofs.
result Equilibrium exists and converges to continuous-time equilibrium as the number of trading times increases.

The paper models asset pricing in a partially observed market using mean field game theory and exponential quadratic Gaussian framework.

problem Asset pricing in a market with partial observation and heterogeneous agents.
method Mean field game theory, exponential quadratic Gaussian framework, Kalman-Bucy filtering theory.
result Characterization of equilibrium risk premium through mean field BSDE and construction of unobservable risk premium process.

Paper defines saddle points in asymmetric Dynkin games using martingale theory.

problem Tackles saddle point conditions in asymmetric Dynkin games with partial information.
method Uses martingale theory to identify super and submartingales related to equilibrium payoffs.
result Characterizes saddle point strategies in terms of equilibrium payoffs' dynamics and Doob-Meyer decompositions.

This paper investigates the equilibrium interactions between trading targets and private information in a multi-period Kyle (1985) market. There are two investors who each follow dynamic trading strategies: A strategic portfolio rebalancer who engages in order splitting to reach a cumulative trading target and an uncon…

2015-02-07abs ↗pdf ↗

We solve a continuous-time game-theoretic problem for Kihlstrom-Mirman preferences.

problem Dynamic inconsistency in preferences due to multiattribute utility theory.
method Formalized an equilibrium control theory for continuous-time Markov processes.
result Equilibrium strategy and value function as solution to extended HJB system.

Investor optimizes portfolio under dynamic risk preferences.

problem Optimizing investment under uncertain future risk attitudes.
method Developed a general equilibrium framework and solved for subgame-perfect equilibrium policies.
result Equilibrium policies include a novel hedging component to counteract anticipated risk aversion changes.

Develops asset pricing models with mean field game theory for heterogeneous agents.

problem Tackles equilibrium asset pricing in incomplete markets with heterogeneous agents.
method Uses mean field game theory and mean field backward stochastic differential equations (BSDEs).
result Derives equilibrium risk premium and shows market clearing in the large population limit.

Study Nash equilibrium in market with relative wealth concerns under partial information and heterogeneous priors.

problem Analyzing Nash equilibrium in a market with unobservable return rates and heterogeneous priors.
method Established a Nash equilibrium through a separation result and martingale argument. Used fully-coupled linear FBSDEs and deep neural networks for numerical computation.
result Investment strategies under relative wealth concerns exhibit a herd effect, with accurate prior estimators leading the market.

Study of a risk-averse informed trader in a multi-asset market with non-Gaussian prices.

problem Existence of equilibrium in a multi-asset market with non-Gaussian prices and a risk-averse informed trader.
method Constructed equilibrium using Fokker-Planck equation and coupled partial differential equations with an optimal transport constraint.
result Equilibrium exists in a market with multiple assets and non-Gaussian prices.

Study optimizes financial market disclosure by analyzing withheld information.

problem Optimizing financial market disclosure in partially observed, privately held firms.
method Analyzes geometric-Brownian state processes with Poisson observation times, derives filtering formulas for withheld information.
result Explicit formulas for downgrading valuations in the absence of disclosures.

New model captures state-dependent variability in partially observed systems.

problem Structured stochasticity not captured by constant-variance models.
method State-coupled stochastic volatility framework with particle expectation-maximization.
result Model consistently reduces recovery bias under partial observation.

A game-theoretic analysis of DEX competition through dynamic trading fees.

problem Competition between decentralized exchanges (DEXs) and their impact on trading fees and slippage.
method Characterization of an approximate Nash equilibrium via coupled system of partial differential equations and closed-form expressions for equilibrium fees.
result The equilibrium trading fees shift from the oracle price to a weighted average of the oracle and competitors' exchange rates under competition.

RL in MFGs is as hard as solving many single-agent RL problems.

problem Learning Nash Equilibrium in Mean-Field Games (MFGs).
method Introduce P-MBED to measure model complexity, develop a novel exploration strategy, and establish polynomial sample complexity results.
result Learning Nash Equilibrium in MFGs is no more statistically challenging than solving a logarithmic number of single-agent RL problems.

Study on markets with insiders receiving private signals affecting asset prices and information flow.

problem Understanding markets with heterogeneous information flows and private signals.
method Proves existence of a partial communication equilibrium with jumps in information and prices.
result The public information flow and asset prices jump at each private signal time, creating incomplete markets between jumps.

Unified approach to time-inconsistent problems with distribution-dependent rewards.

problem Time-inconsistent problems with distribution-dependent rewards in behavioral finance and economics.
method Equilibrium master equation on Wasserstein space, refined derivatives, Itô's formula.
result Unified approach to find equilibrium solutions for time-inconsistent problems.

Paper tackles stochastic control with mean and higher-order moments, finding Nash equilibria.

problem Time-inconsistent stochastic control problems with mean and higher-order moments.
method Developed closed-loop and open-loop Nash equilibrium controls using PDEs and maximum principles.
result Identical closed-loop and open-loop Nash equilibria controls, independent of state value and random path.

We prove existence and uniqueness of stochastic equilibria in a class of incomplete continuous-time financial environments where the market participants are exponential utility maximizers with heterogeneous risk-aversion coefficients and general Markovian random endowments. The incompleteness featured in our setting - …

2009-06-01abs ↗pdf ↗

Study on multi-agent decision making complexity, showing sample efficiency gaps.

problem Understanding sample efficiency in multi-agent decision making.
method General framework for interactive decision making, focusing on equilibrium computation.
result No 'reasonable' complexity measure can close gaps between single and multiple agents.

The paper proves well-posedness of nonlocal PDEs related to stochastic control problems.

problem Characterizing equilibrium strategies and value functions for time-inconsistent stochastic control problems.
method Method of continuity and Banach's fixed point arguments, with Schauder prior estimates.
result Global well-posedness of nonlocal fully nonlinear PDEs with sharp a-priori estimates.

Algorithmic traders optimize execution and arbitrage in markets with hidden information.

problem Optimal execution and statistical arbitrage in markets with latent factors.
method Solve a large stochastic game with mean-field game limit, using convex analysis and FBSDE.
result Prove the MFG equilibrium is an ε-Nash equilibrium for finite player games.

Develops a game-theoretic approach to solve SGEP efficiently.

problem Efficiently solving the symmetric generalized eigenvalue problem for large datasets.
method Formulates SGEP as a Nash equilibrium in a game-theoretic context and develops a parallelizable algorithm.
result Achieves O(dk)O(dk) runtime complexity, making it feasible for large-scale problems.

Proposes neural delay differential equations for stable system identification with partially observed states.

problem Learning stable models for systems with partial or delayed observations.
method Augments states with history, uses neural delay differential equations, and ensures stability through time delay analysis.
result The approach ensures stability of learned models for partially observed systems.

Optimal strategies identified for unit linked life insurance contracts in a jump-diffusion model.

problem Mean-variance hedging of unit linked life insurance contracts with basis risk.
method Time-consistent mean-variance portfolio selection problem solved with Nash subgame perfect equilibrium and PIDEs.
result Explicit solution to the extended HJB system and optimal trading strategies in closed-form.

FNO-DEQ solves steady-state PDEs as fixed points, outperforming traditional FNOs.

problem Lack of understanding in designing neural network architectures for PDEs.
method Proposes FNO-DEQ, a deep equilibrium architecture that solves steady-state PDEs as fixed points.
result FNO-DEQ outperforms FNO-based architectures in predicting solutions to steady-state PDEs.

In his lectures at College de France, P.L. Lions introduced the concept of Master equation, see [5] for Mean Field Games. It is introduced in a heuristic fashion, from the system of partial differential equations, associated to a Nash equilibrium for a large, but finite, number of players. The method, also explained in…

2014-04-16abs ↗pdf ↗

Paper studies optimal tracking portfolio in mean field game of large fund competition.

problem Optimal tracking portfolio in large fund competition with relative performance benchmark.
method Formulated mean field game problem, established existence of mean field equilibrium using PDE approach, constructed approximate Nash equilibrium.
result Existence of mean field equilibrium and consistency condition verified.

Paper tackles learning win-win solutions in aggregation systems.

problem Learning approximate equilibrium solutions in aggregation systems to keep suppliers.
method Multi-Agent Reinforcement Learning (MARL) with variance reduction mechanism.
result Approach reduces value variance and moves joint solution closer to Nash Equilibrium.

The paper develops algorithms for competitive RL in partially observable MGs.

problem Challenges in reinforcement learning with function approximation and partial observability.
method Proposes posterior sampling methods for self-play and adversarial learning in zero-sum MGs.
result Developed algorithms achieve low regret bounds scaling sublinearly with GEC and episode number.

Algorithm learns NE in imperfect information games with imperfect feedback.

problem Learning Nash equilibrium in imperfect information games with bandit feedback.
method IXOMD algorithm for model-free learning with 1/T1/\sqrt{T} convergence rate.
result IXOMD achieves 1/T1/\sqrt{T} convergence rate to NE.