This systematic literature review analyses the recent advances of machine learning and
deep learning in finance. The study considers six financial domains: stock markets, portfolio …

This work contributes to this ongoing debate on the nature and the characteristics of
propagation channels of crash events in international stock markets. Specifically, we …

Unsustainable credit developments lead to the build-up of systemic risks to financial stability.
While this is an accepted truth, how to assess whether risks are getting out of hand remains …

This paper introduces a new database of financial crises, providing an important insight into
the causes, duration, and consequences of different types of financial crises. Besides …

We develop early warning models for financial crisis prediction applying machine learning
techniques on macrofinancial data for 17 countries over 1870–2016. Most nonlinear …

We rigorously investigate the multifaceted effects of financial regulation and supervision on
bank stability using panel data for 2210 banks across 47 European countries over the period …

This paper compares the out-of-sample predictive performance of different early warning
models for systemic banking crises using a sample of advanced economies covering the …

Part 6: Financial Markets and the Macroeconomy. 19. Asset prices, consumption, and the
business cycle (JY Campbell). 20. Human behavior and the efficiency of the financial system …

This paper utilizes quarterly panel data for 20 OECD countries over the period 1975: Q1–
2014: Q2 to explore the importance of house prices and credit in affecting the likelihood of a …

Interconnections between banking crises and fiscal crises have a long history. We document
the long-run evolution from classic banking panics toward modern banking crises where …