Credit risk prediction in an imbalanced social lending environment
International Journal of Computational Intelligence Systems, 2018 Credit risk prediction is an effective way of evaluating whether a potential borrower will repay a loan, particularly in peer-to-peer lending where class imbalance problems are prevalent.
Anahita Namvar +3 more
doaj +1 more source
A credit scoring model based on the Myers-Briggs type indicator in online peer-to-peer lending. [PDF]
Financ Innov, 2022 Woo H, Sohn SY.
europepmc +1 more source
How Microfinance Can Close Asymmetrical Information on Peer-to-Peer Platforms [PDF]
, 2016 Peer-to-peer lending has sprung up in recent years, defined by its flexibility to meet the needs of loan applicants from a range of financial backgrounds.
Jones, Justin
core +1 more source
Market for 33 percent interest loans. Financial inclusion and microfinance in India. [PDF]
, 2019 Financial inclusion is the process of building viable institutions that provide financial services to those hitherto excluded. These may include savings, insurances, remittances, and credit.
Pauli, Markus
core +1 more source
The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics
Agribusiness, EarlyView.ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley +1 more source
Evolutionary game analysis of FinTech transformation: A social co-governance pattern of peer-to-peer lending market in China. [PDF]
Front Psychol, 2022 Wang Q, Liu X, Zhang C.
europepmc +1 more source
Peer-to-Peer Lending – A (Financial Stability) Risk Perspective [PDF]
Review of Economics, 2017 Abstract The aim of this survey article is to discuss P2P lending, a subcategory of crowdfunding, from a (financial stability) risk perspective. The discussion focuses on a number of dimensions such as the role of soft information, herding, platform default risk, liquidity risk, and the institutionalization of P2P markets.
openaire +3 more sources
Agribusiness, EarlyView.ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
wiley +1 more source
Peer to Peer Lending Against Ease of Business Technology Acceptance Model (TAM) Approach
Economica: Jurnal Ekonomi Islam, 2019 : The progress of the times will always go hand in hand with technological developments. The presence of the disruptive era encouraged the financial industry to innovate.
Cita Sary Djaakum
doaj +1 more source
Determinants of Moral hazard in Microfinance: Empirical Evidence from Joint Liability Lending Schemes in Malawi [PDF]
Moral hazard is widely reported as a problem in credit and insurance markets, mainly arising from information asymmetry. Although theorists have attempted to explain the success of Joint Liability Lending (JLL) schemes in mitigating moral hazard ...
Phiri, Alexander +2 more
core +1 more source