1 code implementation • 13 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.
1 code implementation • 28 Jan 2024 • Erhan Bayraktar, Bingyan Han, Dominykas Norgilas
Martingale optimal transport (MOT) often yields broad price bounds for options, constraining their practical applicability.
1 code implementation • 22 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.
no code implementations • 1 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.
no code implementations • 9 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.
1 code implementation • 21 Nov 2022 • Erhan Bayraktar, Qi Feng, Zhaoyu Zhang
We extend the backward scheme in [Hur\'e-Pham-Warin.
no code implementations • 2 Sep 2022 • Erhan Bayraktar, Ibrahim Ekren, Xin Zhang
In this paper, we study a learning problem in which a forecaster only observes partial information.
no code implementations • 4 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.
no code implementations • 5 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.
no code implementations • 17 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
no code implementations • 31 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.
no code implementations • 18 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.
no code implementations • 22 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.
no code implementations • 3 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.
no code implementations • 27 Mar 2019 • Erhan Bayraktar, Lifeng Lai
In this paper, we investigate the adversarial robustness of multivariate $M$-Estimators.
no code implementations • 6 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.