123 résultats
pour « insurance »
"Using this framework, I provide comparative statics results on the effects of exogenous economic factors on the optimal design of these plans. In particular, I examine the effect of risk aversion, forecast improvements, early action benefits, and likelihood of risky event on the optimal financing amount and forecast trigger."
"Our main purpose is to provide a convenient analytic model that explains both the pattern of observed customer behavior and the pattern of insurance contracts most often observed in practice: these consist of menus of several deductible-premium pairs, or menus of insurance with coverage limits-premium pairs."
"The objective of this paper is to discuss the underlying principles and assumptions of valuation under Solvency II and to analyse concepts such as the best estimate and the cost-of-capital risk margin, hedgeable and non-hedgeable risks, market value of risk, as well as economic capital and expected and unexpected losses."
"In this paper, a compound Poisson risk model with two-sided jumps and proportional investment is considered. The downward jumps represent the claims, while the upward jumps are also allowed to represent the random gains."
"We provide a formal model evaluating the impact of AI and how risk management, stakes, and inter-related tasks affect AI adoption. The broad conclusion is that AI adoption can be stymied by existing processes designed to address uncertainty."
"... different loss reserving models specialise in capturing different aspects of loss data. This is recognised in practice in the sense that results from different models are often considered, and sometimes combined. For instance, actuaries may take a weighted average of the prediction outcomes from various loss reserving models, often based on subjective assessments."
"... we study two optimisation settings for an insurance company, under the constraint that the terminal surplus at a deterministic and finite time T follows a normal distribution with a given mean and a given variance."
"An efficient Bayesian Markov Chain Monte-Carlo method is developed to estimate the unknown parameters to address the computational complexity. Our empirical application to the mortality data collected for the Group of Seven (G7) nations demonstrates the efficacy of our approach."
"... blending traditional reserving models with deep and machine learning techniques leads to a more accurate assessment of general insurance liabilities."
"Using variation across insurers within the same country, and across countries for the same insurance group, we show that market risk insurance via guaranteed return products is more prevalent in countries with more lax capital requirements. Moreover, we show that the interest rate exposure of insurance companies increased as interest rates declined in recent years, and this effect is more pronounced for companies with a larger share of guaranteed return products. "