Professional market participants have to deal with illiquid securities on a constant basis. For such securities traditional risk assessment techniques fail. This can lead to underestimated and distorted results for the entire investment portfolio, and ultimately to inadequate risk management. We...

This paper proposes a set of models which can be used to estimate the market risk for a portfolio of crypto-currencies, and simultaneously to estimate also their credit risk using the Zero Price Probability (ZPP) model by Fantazzini et al (2008), which is a methodology to compute the...

One of the most important factors to control for the achievements of investment portfolio returns is risk. If we only think that a 100% positive return is needed to recover a portfolio loss of 50%, we can understand why. With the advent of the exponential growth of technology usage in markets,...

We provide a methodology for credit risk analysis that can be embedded into a risk appetite framework. We start by estimating a global risk factor using CDS data, and we analyze the information content in a wide set of financial indicators on the global risk factor as well as on credit risk at...

We provide a methodology for credit risk analysis that can be embedded into a risk appetite framework. We analyze the information content in CDS spreads to estimate the systematic and idiosyncratic components of credit risk for CDS issuers in the industrial sector of Europe. Such decomposition...