Showing 1 - 10 of 11
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...
Persistent link: https://www.econbiz.de/10013370404
Данная часть завершает серию консультационных публикаций Деана Фантаццини на тему «Эконометрический анализ финансовых данных в задачах управления риском». В...
Persistent link: https://www.econbiz.de/10013121134
Журнал продолжает публикацию консультации Дйана Фантаццини, посвященной эконометрическому анализу финансовых данных в задачах управления риском. В данном...
Persistent link: https://www.econbiz.de/10013121137
In this paper, we compare different methods for computing default probabilities using a sample of banks that experienced financial distress during the 2007–2009 global financial crisis. The traditional KMV-Merton model for firm valuation, credit ratings by rating agencies and a recently...
Persistent link: https://www.econbiz.de/10013097198
While there is increasing interest in crypto assets, the credit risk of these exchanges is still relatively unexplored. To fill this gap, we considered a unique dataset of 144 exchanges, active from the first quarter of 2018 to the first quarter of 2021. We analyzed the determinants surrounding...
Persistent link: https://www.econbiz.de/10012794905
While there is an increasing interest in crypto-assets, the credit risk of these exchanges is still relatively unexplored. To fill this gap, we consider a unique data set on 144 exchanges active from the first quarter of 2018 to the first quarter of 2021. We analyze the determinants of the...
Persistent link: https://www.econbiz.de/10013314480
Persistent link: https://www.econbiz.de/10012237346
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...
Persistent link: https://www.econbiz.de/10012863029
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...
Persistent link: https://www.econbiz.de/10013404509
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...
Persistent link: https://www.econbiz.de/10014350946