Данная часть завершает серию консультационных публикаций Деана Фантаццини на тему «Эконометрический анализ финансовых данных в задачах управления риском». В...

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...

The aim of this study is to analyze the impact of credit risk mitigation via margining on the optimal portfolio selection for power plants. We develop a model to estimate margining cashflows that is based on the clearing framework of the European Commodity Clearing AG (ECC), on stochastic...

The authors revisit the case for maintaining a strategic overweight to corporate bonds in fixed income portfolios based on the notion of the credit risk premium. Using a series of excess returns to investment-grade corporate bonds going back to 1926, the authors find evidence of a positive risk...

We consider an optimal risk-sensitive portfolio allocation problem accounting for the possibility of cascading defaults. Default events have an impact on the distress state of the surviving stocks in the portfolio. We study the recursive system of non-Lipschitz quasi-linear parabolic HJB-PDEs...

Журнал продолжает публикацию консультации Дйана Фантаццини, посвященной эконометрическому анализу финансовых данных в задачах управления риском. В данном...

This paper examined a set of over two thousand crypto-coins observed between 2015 and 2020 to estimate their credit risk by computing their probability of death. We employed different definitions of dead coins, ranging from academic literature to professional practice, alternative forecasting...

In this paper, we analyzed a dataset of over 2000 crypto-assets to assess their credit risk by computing their probability of death using the daily range. Unlike conventional low-frequency volatility models that only utilize close-to-close prices, the daily range incorporates all the information...

The author's study analyzes, loan valuation methods using discrete time model of contingent claims analysis. In the empirical test, the undiversifiable risk was measured by the correlation coefficient of one borrower with the average return of all borrowers. The results of the test supported the...

A standard quantitative method to access credit risk employs a factor model based on joint multivariate normal distribution properties. By extending a one-factor Gaussian copula model to make a more accurate default forecast, this paper proposes to incorporate a state-dependent recovery rate...