Securitization of Longevity and Mortality Risk

This paper deals with Alternative Risk Transfer (ART) through the securitization of longevity and mortality risks in pension plans and commercial life insurance. Various types of such mortality-linked securities are described (e.g., CATM bonds, longevity bonds, mortality forwards and futures, and mortality swaps). Pricing methods and real examples are given. Hypothetical calculations concerning the pricing of potential mortality forwards that correspond to the evolution of longevity in the Czech Republic are presented.ART, life insurance, life market, longevity risk, mortality risk, pension plans, securitization, tontines

A parallel Kalman filter via the square root Kalman filtering

A parallel algorithm for Kalman filtering with contaminated observations is developed. Theı parallel implementation is based on the square root version of the Kalman filter (see [3]). Thisı represents a great improvement over serial implementations reducing drastically computationalı costs for each state update

Square root kalman filter with contaminated observations

The algorithm of square root Kalman filtering for the case of contaminated observations is described in the paper. This algorithm is suitable for the parallel computer implementation allowing to treat dynamic linear systems with large number of state variables in a robust recursive way

Square root kalman filter with contaminated observations.

The algorithm of square root Kalman filtering for the case of contaminated observations is described in the paper. This algorithm is suitable for the parallel computer implementation allowing to treat dynamic linear systems with large number of state variables in a robust recursive way.Square root Kalman filter; Robust; Parallel algorithm;

Asymmetric recursive methods for time series

summary:The problem of asymmetry appears in various aspects of time series modelling. Typical examples are asymmetric time series, asymmetric error distributions and asymmetric loss functions in estimating and predicting. The paper deals with asymmetric modifications of some recursive time series methods including Kalman filtering, exponential smoothing and recursive treatment of Box-Jenkins models

Time Series in Linear Programs with Random Right-Hand Sides

Linear programs such that the right-hand sides of their restrictions have the form of multivariate time series may be useful in practical applications. Behavior of the processes formed by the optimal values of the corresponding objective functions is investigated in the following cases: the right-hand side process is (i) a normal white noise; (ii) a normal white noise with a linear trend; (iii) a normal random walk. Some basic probability characteristics of such processes are calculated explicitly

Confidence Regions for Linear Programs with Random Coefficients

If random values in a linear program with random coefficients can be predicted using previous observations on them one can utilize the appropriate prediction region and construct a confidence interval in which the optimal value of the objective function lies with a given probability (or even construct a confidence region for the optimal decision). It is a new statistical approach based on projection of the observed data into the time period of interest. The results are demonstrated by a numerical example

Preliminary results on machine classification of soil associations in Collin County, Texas

There are no author-identified significant results in this report

The Move from Recorded to Bedside Shift Report: Evaluating Barriers to Full Implementation

Many sentinel events in acute care centers can be attributed to miscommunication of patient information at shift change. A growing body of evidence supports the implementation of bedside shift report as the standardized approach to ensure effective communication by staff. The purpose of this study was to identify the barriers that impede nurses from fully participating in bedside shift report in order to create an educational initiative to develop the nursing staff\u27s proficiency in performing bedside report. Lewin\u27s change theory served as the framework for the project. Data for the staff development project were collected using a focus group approach with 18 nurse participants. A classic method of analysis, defined and outlined by Krueger and Casey (2009), was used to identify themes and categorize results. A second evaluator of the data supported thematic findings. Nurses revealed barriers consistent with the literature including frequent interruptions, patient confidentiality, sensitive issues, and inconsistent report content. Barriers identified by this study, but not evident in the reviewed literature, included staff unavailability to answer call lights and having to receive report and transfers during report. An education plan was developed based on perceived barriers and evidence in the literature. Implications for positive social change include interventions to refine the current practice of bedside shift report in order to promote effective and efficient communication at change of shift. Findings can inform nursing units in the hospital and other facilities to achieve patient-centered care and improved outcomes. It is critical that nurses understand the positive impact that consistent, timely, and effective shift reports have on providing safe, quality patient care