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...

Bank’s major approach in her internal rating system is credit scoring valuation which focused on corporates’ idiosyncratic risks and based on their financial indexes. Hence, an influence on corporates’ credit risks by business variation is not considered in her system. We model the effect...

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...

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...

Effective Corporate Governance is seen as a key factor in achieving economic performance. This article aims to define key performance indicators (KPIs) of Corporate Governance (CG). Defined indicators in a clear, understandable and measurable way reflect the performance of CG. To meet the...

Financial systemic risk – defined as the risk of collapse of an entire financial system vis-à-vis any one individual financial institution – is making inroads into academic research in the aftermath of the late 2000s Global Financial Crisis. We shed light on this new concept by...

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...

Constructing models for predicting financial distress of small and medium enterprises requires its own treatment, because these firms differ from large campanies. The aim of this paper is to quantify the predictive power of selected ratios and to develop a statistical model for financial...