Search Results for author: Ibrahim Ekren

Found 9 papers, 0 papers with code

A PDE approach for regret bounds under partial monitoring

no code implementations2 Sep 2022 Erhan Bayraktar, Ibrahim Ekren, Xin Zhang

In this paper, we study a learning problem in which a forecaster only observes partial information.

Kyle's Model with Stochastic Liquidity

no code implementations23 Apr 2022 Ibrahim Ekren, Brad Mostowski, Gordan Žitković

We construct an equilibrium for the continuous time Kyle's model with stochastic liquidity, a general distribution of the fundamental price, and correlated stock and volatility dynamics.

Prediction against a limited adversary

no code implementations31 Oct 2020 Erhan Bayraktar, Ibrahim Ekren, Xin Zhang

We study the problem of prediction with expert advice with adversarial corruption where the adversary can at most corrupt one expert.

Optimal Transport and Risk Aversion in Kyle's Model of Informed Trading

no code implementations16 Jun 2020 Kerry Back, Francois Cocquemas, Ibrahim Ekren, Abraham Lioui

We establish connections between optimal transport theory and the dynamic version of the Kyle model, including new characterizations of informed trading profits via conjugate duality and Monge-Kantorovich duality.

Finite-Time 4-Expert Prediction Problem

no code implementations22 Nov 2019 Erhan Bayraktar, Ibrahim Ekren, Xin Zhang

We explicitly solve the nonlinear PDE that is the continuous limit of dynamic programming of \emph{expert prediction problem} in finite horizon setting with $N=4$ experts.

Utility-based pricing and hedging of contingent claims in Almgren-Chriss model with temporary price impact

no code implementations4 Oct 2019 Ibrahim Ekren, Sergey Nadtochiy

In this paper, we construct the utility-based optimal hedging strategy for a European-type option in the Almgren-Chriss model with temporary price impact.

On the asymptotic optimality of the comb strategy for prediction with expert advice

no code implementations6 Feb 2019 Erhan Bayraktar, Ibrahim Ekren, Yili Zhang

For the problem of prediction with expert advice in the adversarial setting with geometric stopping, we compute the exact leading order expansion for the long time behavior of the value function.

Liquidity in Competitive Dealer Markets

no code implementations22 Jul 2018 Peter Bank, Ibrahim Ekren, Johannes Muhle-Karbe

We study a continuous-time version of the intermediation model of Grossman and Miller (1988).

Portfolio Choice with Small Temporary and Transient Price Impact

no code implementations1 May 2017 Ibrahim Ekren, Johannes Muhle-Karbe

We study portfolio selection in a model with both temporary and transient price impact introduced by Garleanu and Pedersen (2016).

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