Similar Search Results

Enhanced credit default models for heterogeneous SME segments

De Giuli, Maria Elena; Fantazzini, Dean; Figini, Silvia; … - In: Journal / The Capco Institute : journal of financial … 25 (2009), pp. 31-39

Persistent link: https://www.econbiz.de/10003904884

Measuring risk with ordinal variables

Figini, Silvia; Giudici, Paolo - In: The journal of operational risk 8 (2013) 2, pp. 35-43

Persistent link: https://www.econbiz.de/10009774216

Data mining for business and industry

Cerchiello, Paola; Figini, Silvia; Giudici, Paolo - In: Statistical practice in business and industry, (pp. 163-184). 2008

Persistent link: https://www.econbiz.de/10003675847

Applied data mining for business and industry

Giudici, Paolo; Figini, Silvia - 2009 - 2. ed.

Persistent link: https://www.econbiz.de/10003476618

Bayesian operational risk models

Figini, Silvia; Gao, Lijun; Giudici, Paolo - In: The journal of operational risk 10 (2015) 2, pp. 45-60

Persistent link: https://www.econbiz.de/10011298859

A financial stress index for the analysis of XBRL data

Dridi, Amira; Figini, Silvia; Giudici, Paolo; Limam, Mohamed - In: Journal / The Capco Institute : journal of financial … 34 (2012), pp. 219-223

Persistent link: https://www.econbiz.de/10010340579

Graphical network models for international financial flows

Giudici, Paolo; Spelta, A. - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 1, pp. 128-138

Persistent link: https://www.econbiz.de/10011691234

Applied data mining : statistical methods for business and industry

Giudici, Paolo - 2003

Persistent link: https://www.econbiz.de/10001684334

Explainable artificial intelligence for crypto asset allocation

Babaei, Golnoosh; Giudici, Paolo; Raffinetti, Emanuela - In: Finance research letters 47 (2022) 2, pp. 1-7

Persistent link: https://www.econbiz.de/10013553603

Credit scoring for peer-to-peer lending

Aheleghbey, Daniel Felix; Giudici, Paolo - In: Risks : open access journal 11 (2023) 7, pp. 1-8

This paper shows how to improve the measurement of credit scoring by means of factor clustering. The improved measurement applies, in particular, to small and medium enterprises (SMEs) involved in P2P lending. The approach explores the concept of familiarity which relies on the notion that the...

Persistent link: https://www.econbiz.de/10014340263