Embedded Value Analysis for Life Insurance
How embedded value measures the economic worth of a life insurance company's in-force business.
Understanding Embedded Value
Embedded value (EV) is a measure of the economic value of a life insurance company. It consists of two components: adjusted net worth (ANW), the market value of assets backing surplus, and the value of in-force business (VIF), which represents the present value of future after-tax distributable earnings from existing policies. Unlike statutory or GAAP accounting, which can obscure economic reality through reserve and DAC mechanics, embedded value attempts to capture the true economic profit embedded in the current book of business. It is widely used outside the United States and increasingly adopted for internal management purposes domestically.
The concept originated in the UK in the 1980s as a way to address the perceived shortcomings of traditional accounting measures for life insurance companies. Traditional accounting can make a growing life insurance company appear unprofitable because high acquisition costs are recognized upfront while revenues emerge gradually over the policy lifetime. Embedded value corrects this distortion by recognizing the present value of all future profits at the time of sale.
Components of Embedded Value
The adjusted net worth component represents the shareholders' interest in the assets backing the required capital and surplus. It is calculated by taking the statutory or GAAP net worth and adjusting for differences between book value and market value of assets, removing intangible assets, and making other adjustments to arrive at a market-value basis. The ANW represents value that is immediately available (subject to regulatory constraints) and does not depend on future business performance.
The value of in-force business (VIF) is the more complex component. For each policy in force, the actuary projects future premiums, claims, expenses, commissions, investment income, and taxes over the remaining policy lifetime. The resulting stream of distributable earnings (the amount available to shareholders after maintaining required reserves and capital) is discounted at a risk-adjusted rate. The VIF aggregates this present value across all in-force policies, representing the profit locked into the existing book that will emerge over time as policies run off.
The discount rate used for the VIF calculation reflects the riskiness of the projected earnings stream. Under traditional EV, companies select a risk discount rate (often 8% to 12%) based on the cost of capital and the perceived riskiness of the business. This subjective rate selection was one of the criticisms that led to the development of market-consistent approaches.
Market Consistent Embedded Value (MCEV)
Market consistent embedded value (MCEV) uses market-consistent assumptions for financial risks, incorporating the cost of financial options and guarantees (O&G). Instead of a single subjective discount rate, MCEV values cash flows using risk-free rates for financial risks and adds explicit charges for non-hedgeable risks (the cost of residual non-hedgeable risks, or CRNHR). The cost of options and guarantees is calculated using stochastic models that generate thousands of market-consistent economic scenarios.
The MCEV framework, published by the CFO Forum (a group of European insurance company CFOs), standardized the methodology and disclosure requirements. The key principles include market-consistent valuation of financial risks, explicit calculation of the time value of options and guarantees, allowance for the cost of holding required capital (the frictional cost of capital), and transparent analysis of changes in embedded value from period to period.
For products with significant financial guarantees (such as variable annuities with guaranteed minimum benefits), the cost of O&G can be substantial and may significantly reduce the VIF. Stochastic modeling is essential for these products because the guarantees create asymmetric payoff profiles that cannot be accurately valued using deterministic projections.
Analysis of Change in Embedded Value
One of the most valuable aspects of EV reporting is the analysis of change, which decomposes the movement in embedded value from one reporting period to the next into its component sources. Typical components include the expected return on existing business (the "unwind" of the discount rate), the value of new business written during the period, experience variances (differences between actual and assumed mortality, persistency, expenses, and investment returns), assumption changes, and the impact of market movements on asset values and the cost of guarantees.
This decomposition provides management with clear visibility into value creation and destruction. A company may report strong new business value but deteriorating in-force margins, or vice versa. Experience variances highlight areas where actual performance differs from pricing assumptions, prompting investigation and potential repricing. The analysis of change is therefore a powerful management tool that goes beyond what traditional income statements reveal.
Applications in Practice
Embedded value serves multiple practical purposes. In mergers and acquisitions, EV provides a basis for valuing life insurance companies. Buyers typically pay a multiple of embedded value, with the multiple reflecting expectations about future new business, franchise value, and synergies. In performance management, companies track EV growth and return on embedded value (the increase in EV during a period divided by the opening EV) as key performance indicators.
New business value (the VIF of policies sold during the period) measures the economic value created by the sales function. The new business margin (new business value divided by present value of new business premiums) indicates the profitability of current sales relative to the premium volume, allowing comparison across products and distribution channels. Management compensation is sometimes linked to EV metrics, aligning executive incentives with long-term value creation rather than short-term accounting results.
Limitations and Criticisms
Despite its advantages, embedded value has important limitations. The calculation is sensitive to assumptions, particularly the discount rate (under traditional EV) and the economic scenario generator calibration (under MCEV). Small changes in assumptions can produce large changes in the VIF, raising questions about the precision of the measure. EV also captures only the value of existing business and does not reflect the value of future new business or the franchise value of the organization.
The complexity of EV calculations, particularly for products with embedded options and guarantees, requires sophisticated actuarial models and significant computational resources. Model risk is a genuine concern, as errors in the projection models or scenario generators can lead to materially incorrect valuations. Independent review and validation of EV calculations is important for maintaining credibility with investors and analysts.
Study Relevance
Embedded value concepts appear on SOA Fellowship exams, particularly in the Individual Life and Annuities track and the Corporate Finance and ERM track. Candidates should understand the components of embedded value, the difference between traditional and market-consistent approaches, the analysis of change framework, and the applications of EV in performance management and M&A. Practice working through simplified EV calculations, including the projection of distributable earnings and the computation of new business value, builds the intuition needed for exam success and practical application.