Results 51 to 60 of about 3,666,543 (317)
Audit Program on Artificial Intelligence (AI)-driven Credit Risk Models [PDF]
From an Internal Audit perspective, the integration of Artificial Intelligence (AI) into credit risk modelling through Machine Learning (ML) algorithms presents significant challenges due to the complexity and multidimensional nature of these models ...
Valeria Anna De Palma +4 more
doaj +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Augmenting a socio-hydrological flood risk model for companies with process-oriented loss estimation [PDF]
Socio-hydrological flood risk models describe the temporal co-evolution of coupled human–flood systems. However, most models oversimplify the flood loss processes and do not consider companies’ substantial contribution to total losses. This work presents
Sairam, Nivedita +5 more
core +1 more source
Non-Uniqueness of Best-Of Option Prices Under Basket Calibration
This paper demonstrates that perfectly calibrating a multi-asset model to observed market prices of all basket call options is insufficient to uniquely determine the price of a best-of call option.
Mohammed Ahnouch +2 more
doaj +1 more source
A proposed best practice model validation framework for banks
Background: With the increasing use of complex quantitative models in applications throughout the financial world, model risk has become a major concern. The credit crisis of 2008–2009 provoked added concern about the use of models in finance.
Pieter J. (Riaan) de Jongh +4 more
doaj +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
In an interdependent world the risks faced by any one agent depend not only on its choices but also on those of all others. Expectations about others' choices will influence investments in risk management and the outcome can be suboptimal for everyone. We model this as the Nash equilibrium of a game and give conditions for such a suboptimal equilibrium
Heal, Geoffrey, Kunreuther, Howard
openaire +4 more sources
Assessing financial model risk [PDF]
Model risk has a huge impact on any risk measurement procedure and its quantification is therefore a crucial step. In this paper, we introduce three quantitative measures of model risk when choosing a particular reference model within a given class: the absolute measure of model risk, the relative measure of model risk and the local measure of model ...
Pauline Barrieu, Giacomo Scandolo
openaire +4 more sources
Implicit and explicit risk perception, affect, and trust : an investigation of food "traffic lights" [PDF]
Obesity is a health problem in many developed countries and is a growing problem worldwide. In an effort to improve food choices the "traffic lights" nutritional labelling system has been developed.
Burns, Calvin +2 more
core

