Showing 1 - 10 of 241
Risk perception is an idiosyncratic process of interpretation. It is a highly personal process of making a decision … based on an individual’s frame of reference that has evolved over time. The purpose of this paper is to find out the risk … perception level of equity investors and to identify the factors influencing their risk perception. The study was conducted using …
Persistent link: https://www.econbiz.de/10012018617
economic interactions, certain risks are associated with their implementation. Risk factors were given a particular priority … during the secondary and primary research, while determining the most relevant risk factors of investment project processes … in relation to the B2B market. The risk map for investment project processes was created in line with the relevant …
Persistent link: https://www.econbiz.de/10012508818
framework is model-free and allows for stresses on the output such as (a) the mean and variance, (b) any distortion risk measure … including the Value-at-Risk and Expected-Shortfall, and (c) expected utility type constraints, thus making the reverse … sensitivity analysis framework suitable for risk models. …
Persistent link: https://www.econbiz.de/10013364877
We analyse the ruin probabilities for a renewal insurance risk process with inter-arrival times depending on the claims …
Persistent link: https://www.econbiz.de/10011507555
, enabling us to study parameter uncertainty and the risk related to the estimation procedure (estimation risk). In particular …, we use the distribution of empirical parameters from IBM and EURO STOXX50. The evidence suggests that estimation risk …
Persistent link: https://www.econbiz.de/10011556565
future exchanges. Therefore, this paper uses a Value at Risk (VaR) model to measure the risk of investment in Bitcoin. In …
Persistent link: https://www.econbiz.de/10012794186
risk model CreditRisk+. This allows exact risk aggregation via an efficient numerically stable Panjer recursion algorithm …. Furthermore, the model allows exact (without Monte Carlo simulation error) calculation of risk measures and their sensitivities … with respect to model parameters for P&L distributions such as value-at-risk and expected shortfall. Numerous examples …
Persistent link: https://www.econbiz.de/10011643397
variables to aggregate catastrophe risk. The algorithms are based on direct and hierarchical copula trees. Computing speed comes … of the total risk. We test the performance of the presented models by accumulating ground-up loss for 29,000 risks …
Persistent link: https://www.econbiz.de/10012019121
Persistent link: https://www.econbiz.de/10014232597
Stochastic mortality models seek to forecast future mortality rates; thus, it is apparent that the objective variable should be the mortality rate expressed in the original scale. However, the performance of stochastic mortality models-in terms, that is, of their goodness-of-fit and prediction...
Persistent link: https://www.econbiz.de/10014391729