Artificial Intelligence (AI) is creating a rush of opportunities in the financial sector, but
financial organizations need to be aware of the risks inherent in the use of this technology …

The financial risks and potential systemic impacts induced by climate change and the
transition to a low‐carbon economy have become a central issue for both financial investors …

This study introduces a novel time-varying parameter vector autoregression (TVP-VAR)
based extended joint connectedness approach in order to characterize connectedness of 11 …

This book is a comprehensive introduction to quantitative approaches to complex adaptive
systems. Practically all areas of life on this planet are constantly confronted with complex …

As the total value of the global financial market outgrew the value of the real economy,
financial institutions created a global web of interactions that embodies systemic risks …

This article reviews the literature on production networks in macroeconomics. It presents the
theoretical foundations for the role of input–output linkages as a shock propagation channel …

We develop a new technique to estimate vector autoregressions with a common factor error
structure by quantile regression. We apply our technique to study credit risk spillovers …

Financial systemic risk is an important issue in economics and financial systems. Trying to
detect and respond to systemic risk with growing amounts of data produced in financial …

We provide a nonlinear characterization of the macroeconomic impact of microeconomic
productivity shocks in terms of reduced‐form nonparametric elasticities for efficient …

We provide an overview of the relationship between financial networks and systemic risk.
We present a taxonomy of different types of systemic risk, differentiating between direct …