The paper deals with maritime risk, which we consider important, no doubt, for ship-owners acting in volatile markets. Traditionally, risk is measured by "standard deviation". Other risk measures like "excess kurtosis", "excess skewness", "long-term dependence" and the "catastrophe propensity"...

We present a multivariate version of a structural default model with jumps and use it in order to quantify the bilateral credit value adjustment and the bilateral debt value adjustment for equity contracts, such as forwards, in a Merton-type default setting. In particular, we explore the impact...

Instruments for an alternative approach to risk management in internal control systems under revolutionary changes in an organization's development are presented in this paper. The functions and application of instruments for the identification and measurement of the threats to the organization...

Subdiffusive processes can be used in finance to explicitly accommodate the presence of random waiting times between trades or "duration", which in turn allows the modelling of price staleness effects. Option pricing models based on subdiffusions are incomplete, as they naturally account for the...

Expectiles (EVaR) are a one-parameter family of coherent risk measures that have been recently suggested as an alternative to quantiles (VaR) and to Expected Shortfall (ES). In this work we review their known properties, we discuss their financial meaning, we compare them with VaR and ES and we...

This paper discusses the concept of leverage, its components and how to measure and monitor it. It proposes an innovative approach to assessing leverage based on flows using the concept of a marginal leverage ratio, which reveals the leverage related to new activities, as a valuable supplement...

The problem of credit risk management at commercial banks is solved using the stochastic dominance criteria supplementing them with the voting theory elements. The developed stochastic dominance algorithm is based on an investment approach whose basic concept consists in management of both...

A key problem in financial and actuarial research, and particularly in the field of risk management, is the choice of models so as to avoid systematic biases in the measurement of risk. An alternative consists of working with incomplete information, by fixing only a number of parameters instead...

Cybersecurity threats can exert significant adverse effects on a company's performance, necessitating that stakeholders make an effort to understand the risks related to the companies with which they conduct business. However, since a company's relative exposure to cybersecurity risks is related...

We develop a measure of overall financial risk in China by applying machine learning techniques to textual data. A pre-defined set of relevant newspaper articles is first selected using a specific constellation of risk-related keywords. Then, we employ topical modelling based on an unsupervised...