The paper explores a different, supplementary way to assess and manage a particular type of banking crises, those arising from a rise of nonperforming loans to the corporate sector. It relies on a 'national wealth approach,' focusing on the distribution of net wealth among economic sectors and...

We propose a new framework for measuring connectedness among financial variables that arises due to heterogeneous frequency responses to shocks. To estimate connectedness in short-, medium-, and long-term financial cycles, we introduce a framework based on the spectral representation of variance...

Research typically treats exchange rate regime selection as exogenous. Using the Asian Financial Crisis as a case study, we show that countries that peg in 1996 and countries that float in 1996 are, on average, different from each other on variables that affect the outcomes of interest. After...

We jointly estimate the U.S. business and financial cycle through a unified empirical approach while simultaneously accounting for the role of financial factors. Our approach uses the Beveridge-Nelson decomposition within a medium-scale Bayesian Vector Autore-gression. First, we show, both in...

We develop and present a new methodology to detect regime changes within a sequence of sparse networks that have overlapping and evolving community structure. The core of the methodology is a non-negative matrix factorization that maximizes a Poisson likelihood subject to a penalty that accounts...

This paper studies the US equity market during the COVID-19 period in the first half of 2020. There is a record rise, then a record fall in prices and then a record recovery. Throughout the period there was extreme volatility and much short term momentum with fear and greed alternating. The VIX...

The importance of units with pervasive impacts on a large number of other units in a network has become increasingly recognized in the literature. In this paper we propose a new method to detect such influential or dominant units by basing our analysis on unit-specific residual error variances...

Complexity in financial markets is slowly overwhelming canonical statistical modelling. With global crises which stemming from contagion effects becoming more frequent, new tools for financial distress transmission c apture are needed. Graph theory , with its branch on minimum spanning trees can...

We analyse the behaviour of a non-linear model of coupled stock and bond prices exhibiting periodically collapsing bubbles. By using the formalism of dynamical system theory, we explain what drives the bubbles and how foreshocks or aftershocks are generated. A dynamical phase space...