Description: To discuss in practice, in order to control the deviation of cash flow forecast, some optimizations can be made on the basis of actuarial model, including short-term surrender rate optimization, grace period premium adjustment, inter-account cash flow transfer and so on.

Description: After 23 years, the new guidelines for insurance contracts have been released, which describe life insurance economic behavior and show its operating results in an unprecedented and complex accounting language. The management of the insurance industry, as well as accounting and actuarial professionals, will face new challenges. This speech started from the basic logic of accounting and the framework of the standards, combined with the insurance industry's operating rules and accounting characteristics, to illustrate the orientation of the new insurance contract standards. From the internal and external perspectives of life insurance operation, this paper used common management language to discuss the understanding of the new insurance contract standards, the focus issues of the industry and the key issue of the effective implementation of the new standards -- the deep integration of accounting and actuarial.

Description: Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In this session, we will discuss potential sources and attributes of claims data, traditional approaches alongside new analytic techniques and how to integrate models into existing claims management processes. During this session, the presenters will discuss different areas of how machine learning can drive significant value unleashing the potential in claims data, these include data capture, claims management and workflow design as well as behaviour prediction. In addition, the audiences will also have opportunity to learn different use cases of how claims models taking advantage of machine learning, such as foreign death fraud detection and critical illness triage.

Description: This session will cover current tools and techniques for excellent data visualization and understanding.

Description: Asset cash flow modeling and asset assumptions are growing in importance with PBR especially considering the low interest rate environment. The Academy’s Life Practice Council and Life Valuation Committee have formed a Low Interest Rate Asset Adequacy Testing Task Force which has conducted an industry survey to raise awareness and summarize the actuarial best practices for financial reporting actuaries practicing in today’s very low interest rate environment. As the scrutiny on the asset side ratchets up, actuaries must consider how best to develop the asset assumptions as well as model the reinvestment and disinvestment strategies. Coherent assumptions and modeling practices across modeling exercises are expected while respecting the purpose of each calculation.

Description: One important lesson learnt from the recent financial crisis was that overreliance on financial models could lead to unforeseen and harmful consequences. Model risk management (MRM) is becoming a core and mandatory component in enterprise risk management for many financial institutions, especially Fed/OCC CCAR-compliant firms. In recent years, insurance companies are also being required to have model risk management programs by Solvency II, ORSA and other supervisory guidance. MRM is not just model validation. It consists of governance and policies regarding a model's life cycle including data, model development, model test and implementation, model validation, model monitoring and documentation. It also provides guidelines and standards for risk assessment and model inventory management. The presenters will discuss current and best practice MRM, approach for model validation and auditing, as well as topics for technical issues such as types of model risks. It will also discuss the differences between Fed/OCC standards and Solvency II standards. At the conclusion of the session, attendees will be able to: Describe best practice in model risk management; Explain requirements and standards; and Develop model validation procedure.

Description: This session will cover clustering techniques generally (k-means, hierarchical), and how k-means have been used to segment policyholders using third party features such as credit scores to assess customer profitability.

Description: This session will review limited fluctuation credibility, and how to apply that approach to a GLM. Alternative credibility approaches through the lens of ASOP 25 will also be discussed.

Description: These are presentation slides to supplement, Mortality Under Standard Individuality Life Insurance Between 1999–2002 Anniversaries from ARCH, January 2006.