How does risk flow in the credit default swap market?
We develop a framework to analyse the credit default swap (CDS) market as a network of
risk transfers among counterparties. From a theoretical perspective, we introduce the notion …
risk transfers among counterparties. From a theoretical perspective, we introduce the notion …
Reconstructing and stress testing credit networks
Financial networks are an important source of systemic risk, but often only partial network
information is available. In this paper, we use data on bank-firm credit relationships in Japan …
information is available. In this paper, we use data on bank-firm credit relationships in Japan …
Industry specialization and small business lending
W Di, N Pattison - Journal of Banking & Finance, 2023 - Elsevier
This paper examines the rise and competitive impact of industry-specialized small business
lenders. Using loan-level data with detailed industry codes from the Small Business …
lenders. Using loan-level data with detailed industry codes from the Small Business …
[HTML][HTML] Bank liquidity and exposure to industry shocks: Evidence from Ukraine
This paper examines the link between bank liquidity and exposure to industry-level shocks.
Using a unique dataset of borrower industry affiliations, we propose a new measure of …
Using a unique dataset of borrower industry affiliations, we propose a new measure of …
[图书][B] How collateral affects small business lending: The role of lender specialization
M Gopal - 2021 - manasagopal23.github.io
I study the role of collateral on small business credit access in the aftermath of the 2008
financial crisis. I construct a novel, loan-level dataset covering all collateralized small …
financial crisis. I construct a novel, loan-level dataset covering all collateralized small …
Multilayer overlaps and correlations in the bank-firm credit network of spain
We investigate the structural dependencies in the bank-firm credit market of Spain in the
year 2007 under a multilayer network perspective. In particular, we decompose the original …
year 2007 under a multilayer network perspective. In particular, we decompose the original …
Evolutionary Machine Learning in Finance
M O'Neill, A Brabazon - Handbook of Evolutionary Machine Learning, 2023 - Springer
One way to measure the impact of our field of research on finance is to analyse the adoption
of evolutionary machine learning in the finance literature. In this study, we focus on articles …
of evolutionary machine learning in the finance literature. In this study, we focus on articles …
Challenges to global financial stability: Interconnections, credit risk, business cycle and the role of market participants
The worldwide financial crisis (WFC) of 2007–09 has shown the importance of cross-
sectional dependencies of assets, credit exposures and volatility, which can threaten …
sectional dependencies of assets, credit exposures and volatility, which can threaten …
Bank specialization, mortgage lending and house prices
HÖ Dursun-de Neef - Journal of Banking & Finance, 2023 - Elsevier
This paper studies the link between banks' geographic specialization and the growth in their
mortgage lending. Specialized banks increase their lending relatively less during the boom …
mortgage lending. Specialized banks increase their lending relatively less during the boom …
An intelligent multi-level optimisation model for retail loan portfolio
S Kappagantula, V Srivastava - International Journal of …, 2024 - inderscienceonline.com
The paper discusses the multi-level portfolio selection problem, which combines hierarchical
optimisation of credit portfolio, incorporating regulatory and capital constraints, in the context …
optimisation of credit portfolio, incorporating regulatory and capital constraints, in the context …