Efficient Stochastic Modeling for Large and Consolidated Insurance Business: Interest Rate Sampling Algorithms

Abstract

One of the challenges of stochastic asset/liability modeling for large insurance businesses is the run time. Using a complete stochastic asset/liability model to analyze a large block of business is often too time consuming to be practical. In practice, the compromises made are reducing the number of runs or grouping assets into asset categories. This paper focuses on the strategies that enable efficient stochastic modeling for large and consolidated insurance business blocks. Efficient stochastic modeling can be achieved by applying effective interest rate sampling algorithms that are presented in this paper. The algorithms were tested on a simplified asset/liability model ASEM (Chueh 1999) as well as a commercial asset/liability model using assets and liabilities of the Aetna Insurance Company of America (AICA), a subsidiary of Aetna Financial Services. Another methodology using the New York 7 scenarios is proposed and could become an enhancement to the Model Regulation on cash flow testing, thus requiring all companies to do stochastic cash flow testing in a uniform, nononerous manner.     

Dividend policies in Australia and Japan

This paper presents the findings of a comparative study of dividend policies in Australia and Japan. It examines panel data from the constituent stocks of the ASX 200 Index of the Australian stock market and the Nikkei 225 Index of the Japanese stock market. The evidence that Australia, with an imputation tax system which favors dividends over capital gains, has a significantly higher dividend payout than Japan lends support to the influence of environment on dividend policy. Dividend policies in Australia and Japan are affected by different financial factors. Fixed effects regression models indicate that dividend policies are affected positively by size in Australia and liquidity in Japan, and negatively by risk in Japan only. An industry effect is found to be significant in both countries.     

A tale of two cities – the development and reform experiences of Shenzhen and Shanghai

Following gaige kaifang, the twin strategy of reform and opening up, Shenzhen has been designated as a Special Economic Zone. The city appeared to have bright future and would serve as the growth engine in China. Despite having an impressive record of economic development since 1979, the prestige of Shenzhen as a commercial centre has always been overshadowed by Shanghai and Hong Kong. A breakthrough finally came when the State Council of China decided to develop Qianhai, a town near Shenzhen, into an international commercial centre. However, shortly after, the China (Shanghai) Pilot Free Trade Zone representing an unprecedented degree of openness in relation to foreign investment and international trade was launched. No one seems to remember the once-hopeful Qianhai area. The aim of this paper is to examine the path of development of the two leading commercial centres in China amidst the wider context of Chinese economic reform. A common issue facing both cities is, although the state generally has no problem in outlining a vision of reform, a translation of this vision into actual credible measures that could be implemented is often problematic.     

Analytic approximation formulae for pricing forward‐starting Asian options

In this article we first identify a missing term in the Bouaziz, Briys, and Crouhy ( 1994 ) pricing formula for forward‐starting Asian options and derive the correct one. First, illustrate in certain cases that the missing term in their pricing formula could induce large pricing errors or unreasonable option prices. Second, we derive new analytic approximation formulae for valuing forward‐starting Asian options by adding the second‐order term in the Taylor series. We show that our formulae can accurately value forward‐starting Asian options with a large underlying asset's volatility or a longer time window for the average of the underlying asset prices, whereas the pricing errors for these options with the previously mentioned formula could be large. Third, we derive the hedge ratios for these options and compare their properties with those of plain vanilla options. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:487–516, 2003