Search Results for author: Erhan Bayraktar

Found 16 papers, 4 papers with code

DEX Specs: A Mean Field Approach to DeFi Currency Exchanges

1 code implementation13 Apr 2024 Erhan Bayraktar, Asaf Cohen, April Nellis

We calibrate the distribution of LP characteristics based on Uniswap data and the equilibrium strategy resulting from this mean-field game produces pool exchange rate dynamics and liquidity evolution consistent with observed pool behavior.

The McCormick martingale optimal transport

1 code implementation28 Jan 2024 Erhan Bayraktar, Bingyan Han, Dominykas Norgilas

Martingale optimal transport (MOT) often yields broad price bounds for options, constraining their practical applicability.

Fitted Value Iteration Methods for Bicausal Optimal Transport

1 code implementation22 Jun 2023 Erhan Bayraktar, Bingyan Han

We develop a fitted value iteration (FVI) method to compute bicausal optimal transport (OT) where couplings have an adapted structure.

Quantifying dimensional change in stochastic portfolio theory

no code implementations1 Mar 2023 Erhan Bayraktar, Donghan Kim, Abhishek Tilva

In this paper, we develop the theory of functional generation of portfolios in an equity market with changing dimension.

Arbitrage theory in a market of stochastic dimension

no code implementations9 Dec 2022 Erhan Bayraktar, Donghan Kim, Abhishek Tilva

This paper studies an equity market of stochastic dimension, where the number of assets fluctuates over time.

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.

A Note on Utility Maximization with Proportional Transaction Costs and Stability of Optimal Portfolios

no code implementations4 Jul 2021 Erhan Bayraktar, Christoph Czichowsky, Leonid Dolinskyi, Yan Dolinsky

The aim of this short note is to establish a limit theorem for the optimal trading strategies in the setup of the utility maximization problem with proportional transaction costs.

Open-Ended Question Answering

Optimal Investment and Consumption under a Habit-Formation Constraint

no code implementations5 Feb 2021 Bahman Angoshtari, Erhan Bayraktar, Virginia R. Young

Furthermore, an individual with a more addictive habit invests less in the risky asset compared to an individual with a less addictive habit but with the same wealth-to-habit ratio and risk aversion, which provides an explanation for the equity-premium puzzle.

K-core in percolated dense graph sequences

no code implementations17 Dec 2020 Erhan Bayraktar, Suman Chakraborty, Xin Zhang

Keeping an edge $(i, j)$ of $G_n$ with probability $\min \{ {a^n_{i, j}}/{n}, 1 \}$ independently, we obtain a sequence of random graphs $G_n(\frac{1}{n})$.

Probability Combinatorics

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.

Malicious Experts versus the multiplicative weights algorithm in online prediction

no code implementations18 Mar 2020 Erhan Bayraktar, H. Vincent Poor, Xin Zhang

We assume that one of the experts is honest and makes correct prediction with probability $\mu$ at each round.

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.

Equilibrium concepts for time-inconsistent stopping problems in continuous time

no code implementations3 Sep 2019 Erhan Bayraktar, Jingjie Zhang, Zhou Zhou

A \emph{new} notion of equilibrium, which we call \emph{strong equilibrium}, is introduced for time-inconsistent stopping problems in continuous time.

On the Adversarial Robustness of Multivariate Robust Estimation

no code implementations27 Mar 2019 Erhan Bayraktar, Lifeng Lai

In this paper, we investigate the adversarial robustness of multivariate $M$-Estimators.

Adversarial Robustness

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.

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