This paper proposes a systemic risk index based on Functional Data Analysis (FDA), overcoming salient shortcomings of standard methodologies related to data usage, data sparseness, and high dimensionality issues. Using Mexican data, a set of systemic risk indexes are constructed and we show that...

The understanding of co-movements, dependence, and influence between variables of interest is key in many applications. Broadly speaking such understanding can lead to better predictions and decision making in many settings. We propose Quantile Graphical Models (QGMs) to characterize prediction...

Systemic Risk and Complex Networks in Modern Financial Systems -- Systemic Risk and Network Science: A Bibliometric and Systematic Review -- A Holistic Journey into Systemic Risk: Theoretical Background, Transmission Channels and Policy Implication -- Macro-prudential Policies to Mitigate...