activity
20162024
most citedRisk Sensitive Portfolio Optimization in a Jump Diffusion Model with Regimes

16 citations · 19 across the 9 of their papers we have counts for

collaborators

12 papers

q-fin.MF2024

A market resilient data-driven approach to option pricing

Anindya Goswami, Nimit Rana

In this paper, we present a data-driven ensemble approach for option price prediction whose derivation is based on the no-arbitrage theory of option pricing. Using the theoretical…

math.AP2024

Wave maps in dimension with an external forcing

Zdzisław Brzeźniak, Jacek Jendrej, Nimit Rana

This paper aims to establish the local and global well-posedness theory in , inspired by the approach of Keel and Tao [Internat. Math. Res. Notices, 1998], for the forced wave…

cs.LG2024★ 2 cited

Stochastic Modified Flows for Riemannian Stochastic Gradient Descent

Benjamin Gess, Sebastian Kassing, Nimit Rana

We give quantitative estimates for the rate of convergence of Riemannian stochastic gradient descent (RSGD) to Riemannian gradient flow and to a diffusion process, the so-called Ri…

math-ph2023

Decay of correlations in stochastic quantization: the exponential Euclidean field in two dimensions

Massimiliano Gubinelli, Martina Hofmanová, Nimit Rana

We present two approaches to establish the exponential decay of correlation functions of Euclidean quantum field theories (EQFTs) via stochastic quantization (SQ). In particular we…

math.FA2023

Pseudo-differential calculi and entropy estimates with Orlicz modulation spaces

Anupam Gumber, Nimit Rana, Joachim Toft +1

We deduce continuity properties for pseudo-differential operators with symbols in Orlicz modulation spaces when acting on other Orlicz modulation spaces. In particular we extend we…

math.PR2022★ 1 cited

Non-linear Young equations in the plane and pathwise regularization by noise for the stochastic wave equation

Florian Bechtold, Fabian A. Harang, Nimit Rana

We study pathwise regularization by noise for equations on the plane in the spirit of the framework outlined by Catellier and Gubinelli (Stochastic Process. Appl., 2016). To this e…

math.OC2021

Regime Switching Optimal Growth Model with Risk Sensitive Preferences

Anindya Goswami, Nimit Rana, Tak Kuen Siu

We consider a risk-sensitive optimization of consumption-utility on infinite time horizon where the one-period investment gain depends on an underlying economic state whose evoluti…

math.AP2021

Random dynamical system generated by the 3D Navier-Stokes equation with rough transport noise

Jorge Cardona, Martina Hofmanova, Torstein Nilssen +1

We consider the Navier-Stokes system in three dimensions perturbed by a transport noise which is sufficiently smooth in space and rough in time. The existence of a weak solution wa…

math.AP2020

Low regularity solutions to the stochastic geometric wave equation driven by a fractional Brownian sheet

Zdzisław Brzeźniak, Nimit Rana

We announce a result on the existence of a unique local solution to a stochastic geometric wave equation on the one dimensional Minkowski space with values in an…

math.PR2020

Large Deviations for -dimensional Stochastic Geometric Wave Equation

Zdzisław Brzeźniak, Ben Goldys, Martin Ondreját +1

We consider stochastic wave map equation on real line with solutions taking values in a -dimensional compact Riemannian manifold. We show first that this equation has unique, gl…

math.PR2019

Local solution to an energy critical 2-D stochastic wave equation with exponential nonlinearity in a bounded domain

Zdzisław Brzeźniak, Nimit Rana

We prove the existence and the uniqueness of a local maximal solution to an -critical stochastic wave equation with multiplicative noise on a smooth bounded domain $\mathcal{D…

q-fin.PM2016★ 16 cited

Risk Sensitive Portfolio Optimization in a Jump Diffusion Model with Regimes

Milan Kumar Das, Anindya Goswami, Nimit Rana

This article studies a portfolio optimization problem, where the market consisting of several stocks is modeled by a multi-dimensional jump-diffusion process with age-dependent sem…