Results 101 to 110 of about 8,519,632 (410)
Network based credit risk models
Peer-to-Peer lending platforms may lead to cost reduction, and to an improved user experience. These improvements may come at the price of inaccurate credit risk measurements, which can hamper lenders and endanger the stability of a financial system.
Paolo Giudici+2 more
semanticscholar +1 more source
SNAP online purchasing and the healthfulness of food purchases
Abstract This paper investigates the effects of the SNAP Online Purchasing Pilot expansion (SNAP OPP) on SNAP households' online grocery shopping behaviors and the healthfulness of their food‐at‐home purchases. We explore quasi‐experimental estimates of the impact of online purchasing by leveraging a unique natural experiment: the staggered ...
I‐Hung Kuan+3 more
wiley +1 more source
Bivariate Semi-Markov Process for Counterparty Credit Risk [PDF]
We consider the problem of constructing an appropriate multivariate model for the study of the counterparty credit risk in credit rating migration problem. For this financial problem different multivariate Markov chain models were proposed. However the markovian assumption may be inappropriate for the study of the dynamic of credit ratings which ...
arxiv
Credit Risk-Return Puzzle: Asian Countries Representative
This research investigates the presence of Credit Risk-Return Puzzle on Indonesia, China, Japan and Singapore, by analyzing the relationship between credit risk and stock return with the utilization of credit ratings from Moody’s to ...
Faurani Santi Singagerda+2 more
doaj +1 more source
Credit Risk Analysis Using Machine and Deep Learning Models
Due to the hyper technology associated to Big Data, data availability and computing power, most banks or lending financial institutions are renewing their business models.
P. Addo, D. Guégan, Bertrand K. Hassani
semanticscholar +1 more source
Exploring the relationship between growth in online shopping and multichannel food consumers
Abstract During the pandemic, many food retailers began offering online shopping options, primarily in reaction to rising consumer demand for such options, which was a response to supply chain disruptions and fear of contagion and food scarcity.
Mackenzie Gill, Dawn Thilmany
wiley +1 more source
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models [PDF]
In the financial industry, credit scoring is a fundamental element, shaping access to credit and determining the terms of loans for individuals and businesses alike. Traditional credit scoring methods, however, often grapple with challenges such as narrow knowledge scope and isolated evaluation of credit tasks.
arxiv
Blockchains, Real-time Accounting, and the Future of Credit Risk Modeling
In this paper I discuss how blockchains potentially could affect the way credit risk is modeled, and how the improved trust and timing associated with blockchain-enabled real-time accounting could improve default prediction.
H. Byström
semanticscholar +1 more source
King and Cochrane: The technological treadmill and racial inequity in US agriculture
Abstract Between 1920 and 1969, the number of Black farmers in the US decreased from 14% of all operators to 4%. Using Martin Luther King Jr.'s critique of agricultural policy and Willard Cochrane's theory of the technological treadmill, we explore how racial discrimination was linked to policies that led to structural change in US agriculture.
Jared Hutchins, Jacopo De Marinis
wiley +1 more source
Risk-Minimizing Hedging of Counterparty Risk [PDF]
We study dynamic hedging of counterparty risk for a portfolio of credit derivatives. Our empirically driven credit model consists of interacting default intensities which ramp up and then decay after the occurrence of credit events. Using the Galtchouk-Kunita-Watanabe decomposition of the counterparty risk price payment stream, we recover a closed-form
arxiv