The purpose of this article is to show the effect of Risk Perception RP and Risk Definition RD on the Risk … June 2020, a period during the early stages of the COVID-19 pandemic. The study identified six dimensions of risk … perception and thus tested six structural models. Risk perception (ξ RP) is defined as an external latent variable in the study …

with risk measured by CVaR and additional sophisticated constraints. The cash outflow shortages are penalized in the …

firms and concludes that both the size and book-to-market effects are related to default risk. For example, small firms earn … higher return than big firms only if they have higher default risk and value stocks earn higher returns than growth stocks if … their default risk is high. In this paper we use a more advanced compound option pricing model for the computation of …

meltdowns can represent existential exposure to an organization, and thus cannot be ignored. Despite advances in risk management …, a gap in addressing what cannot be envisioned ex ante has existed since Frank Knight’s designation of risk and …

at examining the risk perception, risk aversion and risk management strategies of maize producers in Awi zone, which is … found in the northwest part of Ethiopia. The study involved 343 respondents who produced maize under risk. Descriptive … regression model were used to process the data. The results showed that farmers have different perceptions of the endogenous risk …

It is widely accepted that risk and uncertainty are integral parts of the property valuation process. Uncertainty in … property valuation is derived from the characteristics of property itself. The issue pertaining to risk and uncertainty in … risk and uncertainty in valuation, especially for business purposes or in the current term known as business valuation. The …

entropy. To measure risk, we use value-at-risk and conditional value-at-risk. The results indicate that, except for Tether …, the analyzed cryptocurrencies’ returns exhibited similar patterns of uncertainty and risk. Levels of uncertainty were … close to the maximum values, but high uncertainty is not always associated with high risk. During the pandemic crisis …

are project risks. Risk analysis was carried out using the 5Why, SWIFT and Harrington coefficients. Based on the results … risk sources is 2%, 15% for the customer, 43% for the project manager, 36% for the project team, 2% for the subcontractor …

This paper investigates the dynamic evolution of tail risk interdependence among U.S. banks, financial services and …. The tail risk interdependence measurement framework relies on the multivariate Student-t Markov switching (MS) model and … the multiple-conditional value-at-risk (CoVaR) (conditional expected shortfall (CoES)) risk measures introduced in …

This paper examines a simple basis risk model based on correlated geometric Brownian motions. We apply quadratic … criteria to minimize basis risk and hedge in an optimal manner. Initially, we derive the Föllmer–Schweizer decomposition for a … European claim. This allows pricing and hedging under the minimal martingale measure, corresponding to the local risk …