Description: Many insurers preparing market consistent financial statements encounter the issue of developing volatility assumptions for equity options and guarantees that are longer than any observable market data. This presentation develops a generalization of the classical Black Scholes option pricing model that is consistent with the European CRO Forum's framework for valuing non-hedgeable risk. The presentation argues that, with reasonable parameter choices, the model fits observed volatility surfaces well enough that it can be used to estimate implied volatilities where no market data exists.

Description: Presented at August 2011 46th Actuarial Research Conference. Compression methods improve model run time. This talk discusses compression features, trade-offs, validation, and recommended practice.

Description: 1988 Valuation Actuary Symposium, In this session, the presenter suggests the value of the Reg 126 testing is a function of the attitude of the company toward the process. He also explored the differences in results by product of using deterministic versus stochastic scenarios.

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: 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: 1995 Valuation Actuary Symposium. In this session panelists discussed how cash-flow testing models can be used to provide significant Asset/Liability Management information, making the transition from cash-flow testing to ALM, definitions of ALM, the key assumptions in ALM, and evaluating results.

Description: Panelists of this teaching session discuss: [1] policyholder and company behavior and its impact on model and assumptions, [2] model purpose and structure, data collection, and behavior models, and [3] the modeling process, including objectives, considerations, constraints, and validation. Session 10 of the 1996 Valuation Actuary Symposium.

Description: This session at the 1998 Valuation Actuary Symposium discusses issues related to variable and fixed deferred annuity modeling.

Description: 1998 Valuation Actuary Symposium. The panelists addressed the practical implications of how to use value-at-risk in a real-life setting, risk-based surplus, and an update of the C-3 component of RBC. This session is a mix between the regulatory situation and quantitative analysis.

Description: From a session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 Technical discussion of asset modeling concepts and techniques