Description: This paper defines business risk as uncertainty that threatens the viability of the insurance organization including product features such as mortality or persistency, internal organization features such as expenses or staff retentionand external influences such as regulatory or legal actions. This paper provides an approach for measuring the financial impact of adverse variation of these factors on the organization.

Description: The April 2016 Issue of The Modeling Platform

Description: This article discusses incentive compensation metrics set to motivate performance, retain people, satisfy legal constraints and Say-on-pay and promote good risk management. Alignment discussion between actual metrics characteristics and the behavior they promote.

Description: This article advocates for a lower variable part in salary and increase focus on other mechanisms (goal setting, simpler product, management, culture and processes). The psychological aspect of belonging to the incentive compensation pool is more important that the financial aspect.

Description: Response to David Kausch’s comments on the paper.

Description: Increasing uncertainties and volatility in financial as well as real goods markets increasingly reveal that controlling systems based on deterministic and pseudo-exact values are insufficiently eligible to manage the business activities. This raises the question how management systems can be modified to generate the adequate management impulses in volatile periods. Risk management deals from identifying, evaluating and aggregating chances and risks, which again determine the potential fluctuation range of relevant performance indicators. Everyday corporate life shows that risk management is considered important; but the corresponding processes to identify, evaluate and report chances and risks are seldom part of established decision criteria. This “paradox” lets assume that risks are managed in various differing and unsystematic ways. The combination of traditional controlling methods and risk management is not primarily a methodological challenge. The behavior of the whole organization, practiced over a long-year period, has to be transferred into a new corporate culture of transparent dealing with chances and risks. This paper describes the necessary change management process, which has to come along with necessary methodological modifications.

Description: Recently researchers, practitioners, and regulators had intense debates about how to treat the data collection threshold in operational risk modeling. There are several approaches under consideration—the empirical approach, the “naive” approach, the shifted approach, and the truncated approach—for fitting the loss severity distribution. Since each approach is based on a different set of assumptions, different probability models emerge. Thus, model uncertainty arises. When possible we investigate such model uncertainty analytically, otherwise we use Monte Carlo simulations. For specific parametric examples we consider exponential and Lomax distributions which are special cases of the generalized Pareto family. Our primary goal is to quantify the effect of model uncertainty on risk measurements. This is accomplished by evaluating the probability of each approach producing conservative capital allocations based on the value-at-risk measure. These explorations are further illustrated using a real data set for legal losses in a business unit (Cruz, 2002).

Description: This discussion reviews changes in practices and procedures which have been made with resulting reduction of expense in connection with the following: Administration and valuation of supplementary contracts, collection of monthly premiums, underwriting of new applicants, and preparation and printing of rare books and policies.