Kaldor-Kalecki model is one of the first models that use non-linear functions to explain the chaotic behaviour of the economic system. Re-elaborating the model we tried to prove the existence of a Bautin bifurcation for the discrete version of the model with an adaptation of the mathematical...

The main objective of this work is to test whether some stochastic models typically used in financial markets could be applied to the COVID-19 pandemic. To this end we have implemented the ARIMAX and Cox-Ingersoll-Ross (CIR) models originally designed for interest rate pricing but transformed by...

This work aims to conduct an analysis of the techniques for assessing and managing emerging risks that impact the insurance sector and to investigate issues related to climate change. The investigation took into account the regulatory obligations that arise for the Company to determine the...

We evaluate Brunnermeir’s Theory of Resilience in the context of complex system dynamics where there however can be local and global resilience, vulnerability, loss of resilience, cycles, disruptive contractions, and persistent traps. In the paper, we refer to three-time scales. First, for...

In this work we present our findings of the so‐called CIR#, which is a modified version of the Cox, Ingersoll & Ross (CIR) model, turned into a forecasting tool for any term structure. The main feature of the CIR# model is its ability to cope with negative interest rates, cluster volatility...

This study addresses market concentration among major corporations, highlighting the utility of relative entropy for understanding diversification strategies. It introduces entropic value at risk (EVaR) as a coherent risk measure, which is an upper bound to the conditional value at risk (CVaR),...

This interdisciplinary book argues that the economy has an underlying non-linear structure and that business cycles are endogenous, which allows a greater explanatory power with respect to the traditional assumption that dynamics are stochastic and shocks are exogenous. The first part of this...