Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Andreeva, Galina"'
The increasing usage of new data sources and machine learning (ML) technology in credit modeling raises concerns with regards to potentially unfair decision-making that rely on protected characteristics (e.g., race, sex, age) or other socio-economic
Externí odkaz:
http://arxiv.org/abs/2308.02680
This research article analyses and demonstrates the hidden implications for fairness of seemingly neutral data coupled with powerful technology, such as machine learning (ML), using Open Banking as an example. Open Banking has ignited a revolution in
Externí odkaz:
http://arxiv.org/abs/2307.13408
Publikováno v:
In International Review of Financial Analysis November 2023 90
Publikováno v:
In International Journal of Forecasting October-December 2023 39(4):1655-1677
Publikováno v:
In Decision Support Systems January 2023 164
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Pacific-Basin Finance Journal September 2021 68
Publikováno v:
In European Journal of Operational Research 1 December 2020 287(2):725-738
Autor:
Andreeva, Galina
Credit scoring is the collection of techniques used for risk assessment in consumer credit. Traditionally a credit scoring model is constructed to fit a specific credit portfolio when normally consists of residents of one country (customised models).
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.640531
A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models
This paper presents a cross-country comparison of significant predictors of small business failure between Italy and the UK. Financial measures of profitability, leverage, coverage, liquidity, scale and non-financial information are explored, some co
Externí odkaz:
http://arxiv.org/abs/1412.5351