Results 31 to 40 of about 6,524,644 (115)

A Quantile Model of Firm Investment

International Economic Review, EarlyView.
ABSTRACT Are firms risk averse? We propose a dynamic model of firm investment under uncertainty that captures firms' risk attitudes through quantile preferences. The firm maximizes its present value, defined as current profits and investment plus the discounted value of the τ$\tau$‐quantile of its value next period.
Heitor Almeida, Murillo Campello, Luciano de Castro, Antonio F. Galvao   +3 more
wiley   +1 more source

Forecast Evaluation for Functional Data

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes methods for comparing the accuracy of two competing sets of functional forecasts. This is increasingly relevant as many economic and financial forecasters are interested in predicting variables which are observed as functional data objects.
Jack Fosten, Piotr Kokoszka, Tim Kutta, Shixuan Wang   +3 more
wiley   +1 more source

Fixed-Point Theorem for Isometric Self-Mappings

, 2020
In this paper, we derive a fixed-point theorem for self-mappings. That is, it is shown that every isometric self-mapping on a weakly compact convex subset of a strictly convex Banach space has a fixed ...
Joseph Frank Gordon
core   +1 more source

A Common Fixed Point Theorem for Six Mappings in G-Banach Space with Weak-Compatibility [PDF]

, 2013
The aim of  this paper is to introduce the concept of G-Banach Space and prove a common fixed point theorem for six mappings in G-Banach spaces with weak–compatibility.
Jain, Ranjeeta
core   +1 more source

Relative Arbitrage Opportunities With Interactions Among N Investors

Mathematical Finance, EarlyView.
ABSTRACT The relative arbitrage portfolio outperforms a benchmark portfolio over a given time‐horizon with probability one. With market price of risk processes depending on the market portfolio and investors, this paper analyzes the multi‐agent optimization of relative arbitrage opportunities in the coupled system of market and wealth dynamics.
Tomoyuki Ichiba, Nicole Tianjiao Yang
wiley   +1 more source

Applications of the Banach Fixed Point Theorem

, 2018
We investigated the application of the Banach fixed-point theorem, especially as it applied to initial value problems in differential equations. Many partial differential equations (PDE’s) model biological growth and could be reduced to ordinary ...
Cliburn, John
core   +1 more source

A generalization of Banach’s fixed point theorem

Demonstratio Mathematica
Abstract A large number of fixed point theorems available in the literature are based on contractive conditions that imply that the mapping is a strict contraction, that is, the distance between the images of two distinct points is strictly smaller than the distance between the points themselves.
Mohamed Jleli, Bessem Samet
openaire   +1 more source

The Optimal Mean–Variance Selling Problem With Finite Horizon

Mathematical Finance, EarlyView.
ABSTRACT The optimal mean–variance selling problem seeks to determine a dynamically optimal stopping time in the nonlinear problem sup0≤τ≤TE(Xτ)−cVar(Xτ)$\sup _{0 \le \tau \le T} \left[ \mathsf {E}\,\!(X_\tau) - c\, \mathsf {V}ar\,\!(X_\tau) \right]$, where X$X$ is a geometric Brownian motion with strictly positive drift, the supremum is taken over ...
Peter Johnson, Jesper Lund Pedersen, Goran Peskir   +2 more
wiley   +1 more source

Risk Measure Duality Without Structure

Mathematical Finance, EarlyView.
ABSTRACT We study risk measures on vector spaces of random variables which a priori have little structure, such as spaces lacking law invariance or a lattice structure. Ensuring the existence of a tractable dual representation (one which does not contain non‐sigma‐additive measures) is one of the main problems in risk measure theory, and we address it ...
Vasily Melnikov
wiley   +1 more source

Gradient Flows on Sparse Representations for PDE‐Regularized Inverse Problems

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT In this short paper, we summarize the theory of Atomic Gradient Flows (AGF) introduced in (Amend, Carioni and Zemas, arxiv:2603.25675, 2026), which provides a framework to construct gradient flows on sparse representations for convex regularized optimization problems.
Christian Amend, Marcello Carioni
wiley   +1 more source