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Wei Liu - One of the best experts on this subject based on the ideXlab platform.
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financial early warning of non life Insurance Company based on rbf neural network optimized by genetic algorithm
Concurrency and Computation: Practice and Experience, 2018Co-Authors: Chun Yan, Lin Wang, Wei LiuAbstract:Summary Due to the characteristic of risk diversification in non–life Insurance industry, the Company's financial risk early warning is very important. In order to reasonably predict the financial status of non–life Insurance Company, the evaluation system of financial risk indicator is constructed from the aspects of solvency, profitability, and growth ability. Taking data of non–life Insurance companies in past years as sample, the evaluation indicators are weighted objectively using the entropy method. The RBF neural network model is improved with the genetic algorithm, and the early warning model is established. The empirical results show that the prediction accurate rate of RBF neural network model based on genetic algorithm is increased.
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the optimal policy for Insurance Company under consideration of internal competition and the time value of ruin
Acta Mathematicae Applicatae Sinica, 2014Co-Authors: Wei LiuAbstract:This paper considers the dividend optimization problem for an Insurance Company under the consideration of internal competition between different units inside the Company. The objective is to find a reInsurance policy and a dividend payment scheme so as to maximize the expected discounted value of the dividend payment, and the expected present value of an amount which the insurer earns until the time of ruin. By solving the corresponding constrained Hamilton-Jacobi-Bellman (HJB) equation, we obtain the value function and the optimal reInsurance policy and dividend payment.
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optimal financing and dividend control of the Insurance Company with excess of loss reInsurance policy
Statistics & Probability Letters, 2014Co-Authors: Wei LiuAbstract:Abstract In this paper, we consider an optimal financing and dividend control problem of an Insurance Company. The management of the Insurance Company controls the dividends payout, equity issuance and the excess-of-loss reInsurance policy. In our model, the dividends are assumed to be paid out continuously, which is of interest from the perspective of financial modeling. The objective is to find the strategy which maximizes the expected present values of the dividends payout minus the equity issuance up to the time of ruin. We solve the optimal control problem and identify the optimal strategy by constructing two categories of suboptimal control problems.
J A Rossi - One of the best experts on this subject based on the ideXlab platform.
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the impact of Insurance Company mandated compression stocking trial on rate of intervention in patients with symptomatic venous reflux disease
Phlebology, 2011Co-Authors: D Calcagno, J A RossiAbstract:OBJECTIVE: Insurance companies have criteria for a venous intervention to be a covered procedure, including symptoms, vein size, and a trial of conservative therapy with compression stockings. The goal of this study was to see the impact of such mandated stocking use on ultimate intervention. METHOD: A retrospective review was done of prospectively gathered data entered in the electronic medical record. Two-hundred consecutive new patients evaluated at our vein center were included. RESULTS: Forty-four of the 200 patients did not require any procedures and 39 patients had procedures scheduled for small or asymptomatic venous changes that did not meet Insurance criteria. This left 117 patients with venous symptoms in whom evaluation concluded that a corrective procedure could be performed. These interventions included largely radiofrequency ablation and phlebectomy. Of these 117 patients, 48 had previously used compression stockings. In the remaining 69 patients, stockings were provided on the day of initial consultation and these 69 patients served as the subjects for this review. At three month follow up, one patient reported the stockings help enough that she did not want to pursue correction. Two patients had continued pain and were planning correction once other unrelated issues resolved. Three patients said they never wore the stockings. Sixty-one patients had procedures performed. The average length of stocking use in patients who chose corrective procedures was 103 days. One patient could not be reached. CONCLUSION: Of the patients that reported they used the stockings as prescribed, one chose chronic stocking therapy and 63 patients either had procedures or were planning procedures. Use of prescription stockings was effective in avoiding intervention in one of 64 cases (2%), despite an average trial of 103 days. These results cast doubt on the merits of the use of an Insurance Company mandated stocking trial.
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the impact of Insurance Company mandated compression stocking trial on rate of intervention in patients with symptomatic venous reflux disease
Phlebology, 2011Co-Authors: D Calcagno, J A RossiAbstract:OBJECTIVE Insurance companies have criteria for a venous intervention to be a covered procedure, including symptoms, vein size, and a trial of conservative therapy with compression stockings. The goal of this study was to see the impact of such mandated stocking use on ultimate intervention. METHOD A retrospective review was done of prospectively gathered data entered in the electronic medical record. Two-hundred consecutive new patients evaluated at our vein center were included. RESULTS Forty-four of the 200 patients did not require any procedures and 39 patients had procedures scheduled for small or asymptomatic venous changes that did not meet Insurance criteria. This left 117 patients with venous symptoms in whom evaluation concluded that a corrective procedure could be performed. These interventions included largely radiofrequency ablation and phlebectomy. Of these 117 patients, 48 had previously used compression stockings. In the remaining 69 patients, stockings were provided on the day of initial consultation and these 69 patients served as the subjects for this review. At three month follow up, one patient reported the stockings help enough that she did not want to pursue correction. Two patients had continued pain and were planning correction once other unrelated issues resolved. Three patients said they never wore the stockings. Sixty-one patients had procedures performed. The average length of stocking use in patients who chose corrective procedures was 103 days. One patient could not be reached. CONCLUSION Of the patients that reported they used the stockings as prescribed, one chose chronic stocking therapy and 63 patients either had procedures or were planning procedures. Use of prescription stockings was effective in avoiding intervention in one of 64 cases (2%), despite an average trial of 103 days. These results cast doubt on the merits of the use of an Insurance Company mandated stocking trial.
Christian H M Ketels - One of the best experts on this subject based on the ideXlab platform.
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competitive advantage and the value network configuration making decisions at a swedish life Insurance Company
Long Range Planning, 2006Co-Authors: Oystein D Fjeldstad, Christian H M KetelsAbstract:Executives in industries that facilitate transactions within a network of customers, such as financial services and telecommunications, currently face tough challenges. The factors determining success in their industries are changing rapidly and the boundaries of many of their markets are realigning. General analytical tools exist to support decision-making on these issues, but many of these tools have been devised primarily with manufacturing industries in mind. These tools may therefore require modifications in order to accommodate the underlying value creation logic of transaction services, the so called network-industries. We present a case study of a project in a Scandinavian life Insurance Company where the value network, an alternate value configuration analysis tool to the established value chain, was used to represent the Company's activities and identify and evaluate the strategic options facing the Company. The value network tool, which closely matched the executives' view of their industry and firm, proved useful in making a significant decision for the Company. In particular, value network analysis channelled attention to the composition of the customer set and the mechanisms affecting the composition as being at the heart of the Company's competitive position. Transaction service firms link their customers for a wide variety of purposes, such as risk sharing, financial transactions or communication. The composition and the size of the customer set are therefore important drivers of the value of service to individual customers of such firms. The experience of this case study merits further investigation of the use of different types of activity configurations depending on a given industry's underlying value creation logic. It provides insights into the types of situations in which value configuration analysis is most helpful, and gives guidance on how to identify issues for which the value network is the more powerful tool to support decision-making.
Itedal Sabri Hashim Bahia - One of the best experts on this subject based on the ideXlab platform.
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using artificial neural network modeling in forecasting revenue case study in national Insurance Company iraq
International Journal of Intelligent Systems, 2013Co-Authors: Itedal Sabri Hashim BahiaAbstract:There are few changes that took place in Iraqin many fields during the past few years; the financial aspect is one of the fields that undergone this change. The change has positive impact because it increases the revenue inIraqfrom the oil exports. The National Insurance Company is one of many companies that belongs to the Ministry of Finance inIraqand has affected directly from this change in term of increasing the number of the insurers which we will discuss in this research. The aim of this research is to forecast the Insurance premiums revenue of the National Insurance Company between the years 2012 to 2053 using Artificial Neural Network based on the actual annual data of the Insurance premiums revenue between the years 1970 to 2011. The data analyses results of this research show that the growth indicator of the Insurance premiums revenue for the next 41 years is approximately 120%, the Mean Squared Error is the average squared difference between outputs and targets. Lower values are better. Zero means no error and the regression values are very high. The estimations and forecasts of the Insurance premiums revenue using Artificial Neural Network confirmed to be strong and useful to deploy it for forecasting the Insurance premiums revenue.
Sarvesh Mohania - One of the best experts on this subject based on the ideXlab platform.
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claim settlement process of life Insurance services a case study of icici prudential life Insurance Company
International Letters of Social and Humanistic Sciences, 2014Co-Authors: Rajesh K Yadav, Sarvesh MohaniaAbstract:Life Insurance is mainly taken to cover up risk of death/disability in term of monetary terms and secondary for the purpose of better return as investment option. Claims are filed at the time of maturity or in case of death/disability. The study focuses on the claim settlement process of life Insurance services of ICICI prudential life Insurance Company. With the increasing numbers of policies, numbers of claims are also increasing in ICICI prudential life Insurance Company. Therefore it is very much essential to have simple and clear claim settlement process. The study is based on the secondary data collected from IRDA and research papers from various journals. The study concluded that in ICICI prudential life Insurance Company with their “Customer First” approach efficiently perform their claim settlement process.
