Study of Volatility Stochastic Processes in the Context of Solvency Forecasting for Sri Lankan Life Insurers

• 作者: Ashika Mendis
• 来源期刊: 统计学期刊(英文)
• 学科: 数学
• 关键词: Risk Management Insurance Sector Sri Lanka Risk-Based Capital Brownian Motion Risk Charges Capital Forecasting Stochastic Processes Volatility Models
• 年，卷（期）: 2021,（1）
• 页码范围: 77-98
• 页数: 22页
• 分类号: O17

摘要

The main business of Life Insurers is Long Term contractual obligations with a typical lifetime of 20 - 40 years. Therefore, the Solvency metric is defined by the adequacy of capital to service the cash flow requirements arising from the said obligations. The main component inducing volatility in Capital is market sensitive Assets, such as Bonds and Equity. Bond and Equity prices in Sri Lanka are highly sensitive to macro-economic elements such as investor sentiment, political stability, policy environment, economic growth, fiscal stimulus, utility environment and in the case of Equity, societal sentiment on certain companies and industries. Therefore, if an entity is to accurately forecast the impact on solvency through asset valuation, the impact of macro-economic variables on asset pricing must be modelled mathematically. This paper explores mathematical, actuarial and statistical concepts such as Brownian motion, Markov Processes, Derivation and Integration as well as Probability theorems such as the Probability Density Function in determining the optimum mathematical model which depicts the accurate relationship between macro-economic variables and asset pricing.