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Relative valuation of U.S. insurance companies

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Abstract

This study examines the accuracy of relative valuation methods in the U.S. insurance industry, using price as a proxy for intrinsic value. The approaches differ in terms of the fundamentals used, the adjustments made to the fundamentals, the use of conditioning variables, and the selection of comparables. Selected findings include the following. First, over the last decade, book value multiples have performed significantly better than earnings multiples in valuing insurance companies. Second, inconsistent with the practice of many analysts, excluding accumulated other comprehensive income from book value worsens rather than improves valuation accuracy. Third, as expected, using income before special items, instead of reported income, improves valuation accuracy, but, surprisingly, excluding realized investment gains and losses does not. An exception to this latter result occurred during the financial crisis, likely due to an increase in “gains trading.” Fourth, conditioning the price-to-book ratio on return on equity significantly improves the valuation accuracy of book value multiples. Finally, while valuations based on analysts’ earnings forecasts outperform those based on reported earnings or book value, the gap between the valuation performance of forecasted EPS and the conditional price-to-book approach was relatively small during the last decade.

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Notes

  1. Asquith et al. (2005) analyze a sample of 1,126 analyst reports written during the years 1997–1999 (56 sell-side analysts, 11 investment banks, 46 industries). They find that in 99.1 % of the reports the analysts mention that they use some sort of earnings multiple (for example, a price-to-earnings ratio, EBITDA multiple, relative price-to-earnings ratio). In contrast, only in 12.8 % (25.1 %) of the reports the analysts cite using any variation of discounted cash flow valuation (asset multiple). Very few analysts use alternative valuation methodologies. All analysts who mention a valuation method use an earnings multiple; that is, the 0.9 % that do not mention an earnings multiple do not mention any valuation method.

  2. For example, Alford (1992), Bhattacharya et al. (2003), Bhojraj and Lee (2002), Bhojraj et al. (2003), Gilson et al. (2000), Kim and Ritter (1999), Lie and Lie (2002), Liu et al. (2002, 2007), and Yee (2004).

  3. One exception is Calomiris and Nissim (2007), which develops and estimates a conditional relative valuation model for bank holding companies.

  4. In addition to (1) potential improvements from using industry-specific models and factors and (2) consistency with practice, industry-specific research offers the following advantages: (3) model stability (control for unmodeled factors that correlate with industry membership), (4) industry-specific research questions and insights, and (5) ability to conduct contextual analysis.

  5. While unrealized investment gains and losses contribute to economic equity, so do changes in the fair values of reserve liabilities, which are generally omitted from the balance sheet. Thus removing AOCI may still be justified—not because unrealized investment gains and losses are transitory but rather because they are approximately equal to the omitted unrealized gains and losses on reserve liabilities.

  6. See, for example, Dechow (1994) and Liu et al. (2002, 2007).

  7. Analysts typically forecast earnings before special items and so exclude from their forecasts the expected portion of one-time items in addition to the unexpected portion. See, for example, Bhattacharya et al. (2003).

  8. For evidence regarding long-term upward bias (that is, optimism bias), see, for example, O’Brien (1988) and Brown (1993). Evidence regarding short-term downward bias is provided by Degeorge et al. (1999) and Matsumoto (2002), among others. Studies showing that analysts’ forecasts do not fully incorporate historical financial information include Mendenhall (1991) and Abarbanell and Bernard (1992).

  9. GAAP requires that “costs of internally developing, maintaining, or restoring intangible assets (including goodwill) that are not specifically identifiable, that have indeterminate lives, or that are inherent in a continuing business and related to an entity as a whole, shall be recognized as an expense when incurred.” This standard was originally prescribed by APB Opinion No. 17, and was restated in subsequent pronouncements.

  10. The loss and loss adjustment expense is equal to the periodic change in the loss reserve, plus payments made during the year for claims and claim settlement expenses, minus the change in reinsurance recoverable (an asset) and minus the amount recovered from reinsurers during the period. Equivalently, the loss and loss adjustment expense is equal to the estimated cost to settle claims related to the current year coverage, plus the change in the estimated cost to settle claims relating to prior years insurance coverage, minus the corresponding reinsurance recoveries. The loss reserve measures estimated future payments to settle claims related to insured events that have occurred by the balance sheet date. It includes accruals for expected claim payments and claim expenses (for example, adjustment and litigation costs) related to both claims that have been reported but not settled and claims incurred but not yet reported. Loss estimates are based upon the insurer’s historical experience and actuarial assumptions that consider the effects of current developments, anticipated trends, and risk management programs. Reserves are reported net of anticipated salvage and subrogation. Most loss reserves are reported undiscounted. See Nissim (2010) for a comprehensive discussion of insurance companies reporting.

  11. For example, Jordan et al. (1997), Lee et al. (2006), and Ellul et al. (2011) provide evidence that some insurers manage earnings through realized securities’ gains and losses (“cherry picking” or “gains trading”).

  12. Insurance reserves consist primarily of benefit reserves, claim reserves, and policyholders’ account balances. Benefit reserves represent the present value of estimated future benefits to be paid to or on behalf of policyholders, including related expenses, less the present value of future net premiums (essentially gross premiums minus profit). Benefit reserves are due primarily to traditional life insurance products such as term and whole life. The assumptions and estimates used in measuring benefit reserves are generally “locked-in,” and so the book value of the liability may deviate significantly from its fair value. Claim reserves represent estimated future payments to settle claims related to insured events that have occurred by the balance sheet date. Claim reserves are generally reported undiscounted. For property and casualty insurers, claim reserves are referred to as loss reserves (see footnote 10). Policyholders’ account balances represent an accumulation of account deposits plus credited interest less withdrawals, expenses, and mortality charges (for example, universal life, investment contracts).

  13. Specifically, the EPS denominator is (1) increased by the number of shares that would have resulted from exercise of dilutive options and (2) reduced by the (smaller) number of shares that could have been repurchased using the proceeds from the hypothetical exercise of the options.

  14. The reported cost of convertible bonds is equal to the product of the related interest expense and one minus the tax rate. The reported cost of convertible preferred stock is the related preferred dividend.

  15. See Nissim and Penman (2001) for evidence on the persistence of ROE across all firms, and Nissim (2010) for analysis of the profitability and earnings quality of insurance companies.

  16. For example, an analyst may calculate an average price-earnings multiple of 15× but use a multiple of 17× to value the target company if it has better growth prospects than its competitors.

  17. An alternative approach for extracting information from several fundamentals is to calculate a weighted average of the value estimates derived from the different price multiples. Yee (2004) suggests rules of thumb for combining two or more value estimates into a superior estimate.

  18. I merge the current and historical GIC classification files and fill up missing GICs by extrapolating from the closest available classification. For some companies that delisted before 1999, GIC classifications are not available. Because the sample period starts before 1999, omitting these firms would introduce survivorship bias. Therefore I assign GIC to these companies based on an empirical mapping of SIC to GIC for firms with available classifications. This mapping is re-estimated each month (before 1999) to account for changes over time in SIC and GIC classifications. None of inferences of this study are affected by the inclusion of these companies.

  19. Compustat describes special items as “unusual or nonrecurring items presented above taxes by the company.” An examination of a sample of insurer/quarter observations indicates that Compustat does not include investment gains and losses in “special items.”

  20. To measure the recurring EPS metrics, I divide special items and investment gains and losses by weighted average diluted shares and undo their effect from EPS before EI. Because EPS before EI is measured after subtracting preferred dividends and noncontrolling interests from net income, so are the recurring EPS measures. Weighted average diluted shares are available from Compustat starting in 1998. For prior periods I estimate this quantity as the product of weighted average outstanding shares and the median ratio of basic to diluted EPS over the last eight quarters.

  21. I estimate diluted book value per share as the product of book value per share and the ratio of weighted average outstanding shares to weighted average diluted shares. That is, I assume that the relationship between diluted and outstanding shares at the end of the year is the same as the average ratio during the year.

  22. Following Collins and Hribar (2000), I assume that non-earnings information becomes available within 17 days after the earnings announcement.

  23. Extreme values of the variables are identified using the following procedure. For each variable, I calculate the 10th and 90th percentiles of the empirical distribution (P10 and P90 respectively) and trim observations outside the following range: P10 − 2 × (P90 − P10) to P90 + 2 × (P90 − P10). For normally distributed variables, this range covers approximately 6.5 standard deviations from the mean in each direction (=1.3 + 2 × (1.3 − (−1.3)), which is more than 99.9999 % of the observations. For ratios with relatively few outliers (for example, beta), the percentage of retained observations is also very high (often 100 %). However, for poorly behaved variables a relatively large proportion of the observations are deleted. Still, the overall loss of observations is much smaller than under the typical 1–99 % approach. Moreover, unlike the “traditional” 1–99 % range, which still retains some outliers, all extreme observations are removed.

  24. Deleting the target company from the comparable group before calculating the price multiple is necessary to avoid the target’s valuation being “contaminated” by its own price. This is especially important when comparing the performance of price multiples derived using alternative grouping of comparables (for example, industry versus sub-industry).

  25. To understand the intuition of the harmonic mean, consider earnings-based price multiples. When using the mean (or median) P/E ratio to calculate the multiple, the firm is valued so that its value-to-earnings ratio is equal to the mean (or median) of the comparables’ price-earnings ratio. In contrast, when using the harmonic mean, the firm is valued so that its earnings-to-value ratio is equal to the mean of the comparables’ earnings yields. Earnings yields have much better statistical properties than price-earnings ratios (lower coefficient of variation, lower kurtosis, more symmetric distribution), which increases the precision of the estimates. Calculating multiples using the median instead of the mean also mitigates the effect of outliers. However, unlike the harmonic mean, the median ignores the magnitude of differences in the price/fundamental ratios across the comparables.

  26. Specifically, Ellul et al. (2011) show that life insurers that experienced severe downgrades among their holdings in asset-backed securities largely continued to hold the downgraded securities and instead selectively sold their corporate bond holdings with the highest unrealized gains.

  27. Consistent with this hypothesis, Lee et al. (2006) find that insurers with a tendency to manage earnings through realized securities’ gains and losses are more likely to report comprehensive income in the statement of equity as opposed to the performance statement, to reduce the transparency of these items.

  28. For example, life insurers increasingly resemble banks rather than property and casualty insurers. They have significantly higher leverage and larger scale than property and casualty insurers, and they generate a substantial portion of their income from a spread business and from managing portfolios.

  29. Focusing on firms with positive book value (a required condition for book value-based price multiple valuation), the skewness of the book-to-price ratio is 1.5 compared with 2.1 for the price-to-book ratio. Similarly, the kurtosis of the book-to-price ratio is 4.0, while that of the price-to-book ratio is 5.5. Moreover, the price-to-book ratio has many more outliers (220 or 0.7 %) than the book-to-price ratio.

  30. As mentioned earlier, excluding the target company when estimating price multiples (in price multiple valuation) or regression coefficients (in conditional valuation) prevents the target’s valuation from being affected by its own price.

  31. In selecting these variables, I use the following criteria: (1) information required to measure the variable is available in Compustat or CRSP; (2) the variable’s effect is likely to be economically and statistically significant; (3) the variable is likely to contain incremental information given other included variables (to mitigate multicolinearity); (4) the variable is relevant for most insurers (which, for example, rules out the combined ratio, which is relevant only for property and casualty insurers, and assets under management, which is relevant primarily for life insurers); (5) to mitigate endogeneity issues, the variable is not directly affected by the market value of equity (which, for example, rules out measuring size using the market value of equity); and (6) the number of variables is not excessive (given the relatively small number of observations in each regression).

  32. Financial firms, especially insurers, need few operating assets to generate revenue, but they are required to hold equity capital at levels sufficient to support their operations. Thus, unlike nonfinancial firms for which turnover ratios are calculated relative to assets, insurers’ turnover is more properly evaluated relative to equity.

  33. Insurers’ revenues consist of premiums, investment income, fees, realized investment gains and losses, and other income. Premiums represent the majority of reported revenues for most insurers. Investment income is typically the second largest category and is particularly significant for life insurers. Fees are generated in insurance operations (for example, universal life, annuities) as well as asset management and other activities. Realized investment gains and losses are small on average (over time or across insurers) due to offsetting gains and losses, but their magnitude for a given insurer/quarter observation is often quite significant.

  34. All else equal, the precision of estimation increases with the ratio of observations to estimated parameters.

  35. Similar to the net equity flow model (Eq. (7)), which assumes that the present value of price at future date T converges to zero as T goes to infinity, to derive Eq. (9) one has to assume that the present value of book value at future date T converges to zero as T goes to infinity. See Ohlson (1995).

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Acknowledgments

The author gratefully acknowledges the helpful comments and suggestions made by Andrew Alford, Mary Barth, Bill Beaver, Patrick Bolton, Trevor Harris, Gur Huberman, Jack Hughes, Urooj Khan, Maureen McNichols, Jim Ohlson (the editor), Stephen Penman, Joseph Piotroski, Harold Schroeder, Leslie Seidman, an anonymous reviewer, and seminar participants at the CARE-CEASA Conference on Accounting for Uncertainty and Risk, Columbia Business School (accounting and finance workshops), the Danish Center for Accounting and Finance Fifth Interdisciplinary Accounting Conference, the Financial Accounting Standards Board, Stanford University, and UCLA. This research was partially sponsored by the Columbia Business School’s Center for Excellence in Accounting and Security Analysis.

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Correspondence to Doron Nissim.

Appendices

Appendix 1: Derivation of the residual income model

The value of any financial claim is the present value of expected net flows to the owners of that claim. Accordingly, the value of common equity (equity value or EV) is the present value of expected net flows to common equity holders (net equity flow or NEF):

$$ {\text{EV}}_{0} = \frac{{{\text{E}}[{\text{NEF}}_{1} ]}}{{1 + {\text{r}}_{\text{e}} }} + \frac{{{\text{E}}[{\text{NEF}}_{2} ]}}{{(1 + {\text{r}}_{\text{e}} )^{2} }} + \cdots = \sum\limits_{{{\text{t}} = 1}}^{\infty } {{\text{E}}\left[ {{\text{NEF}}_{\text{t}} } \right]} \times \left( {1 + {\text{r}}_{\text{e}} } \right)^{{ - {\text{t}}}} $$
(7)

where re is the cost of common equity capital. Equation (7) assumes that NEF is paid at the end of each year.

Theoretically, to value existing common equity, NEF should only include flows associated with currently existing common shares. However, this definition of NEF is impractical because future dividends and share repurchases will be paid not only to existing shares but also to shares that will be issued in the future. An alternative approach is to assume that all future share issuance transactions will be at fair value; that is, the present value of the cash or other assets or services that will be received when new shares are issued is equal to the present value of the subsequent dividends and share repurchases associated with those shares. Under this assumption, NEF is redefined as the total of all common dividends, common share repurchases, and noncash distributions, minus the fair value of assets or services to be received in exchange for issuance of common shares.

Valuation model (7) can be restated in terms of comprehensive income attributable to common equity (comprehensive income or CI) and the book value of common equity (common equity or CE) by substituting the following relation for NEFt:

$$ {\text{NEF}}_{\text{t}} = {\text{CI}}_{\text{t}} - {\text{CE}}_{\text{t}} + {\text{CE}}_{{{\text{t}} - 1}} $$
(8)

This relation postulates that changes in common equity are due to either comprehensive income attributable to common equity or to net equity flows. Given the definitions of NEF (discussed above) and comprehensive income (net income plus other comprehensive income), Eq. (8) accounts for essentially all changes in common equity and therefore provides a reasonable approximation for the actual relationship between net equity flows, earnings, and book value.

Substituting Eq. (8) into (7),

$$ {\text{EV}}_{0} = \frac{{{\text{E}}[{\text{CE}}_{0} + {\text{CI}}_{1} - {\text{CE}}_{1} ]}}{{1 + {\text{r}}_{\text{e}} }} + \frac{{{\text{E}}[{\text{CE}}_{1} + {\text{CI}}_{2} - {\text{CE}}_{2} ]}}{{(1 + {\text{r}}_{\text{e}} )^{2} }} + \cdots $$

For each t = 1, 2, …, adding and subtracting re × CEt−1

$$ {\text{EV}}_{0} = \frac{{{\text{E}}[{\text{CE}}_{0} + {\text{CI}}_{1} - {\text{CE}}_{1} + {\text{r}}_{\text{e}} \times {\text{CE}}_{0} - {\text{r}}_{\text{e}} \times {\text{CE}}_{0} ]}}{{1 + {\text{r}}_{\text{e}} }} + \frac{{{\text{E}}[{\text{CE}}_{1} + {\text{CI}}_{2} - {\text{CE}}_{2} + {\text{r}}_{\text{e}} \times {\text{CE}}_{1} - {\text{r}}_{\text{e}} \times {\text{CE}}_{1} ]}}{{(1 + {\text{r}}_{\text{e}} )^{2} }} + \cdots $$

Rearranging terms

$$ {\text{EV}}_{0} = \frac{{{\text{E}}[{\text{CE}}_{0} \times (1 + {\text{r}}_{\text{e}} ) + ({\text{CI}}_{1} - {\text{r}}_{\text{e}} \times {\text{CE}}_{0} ) - {\text{CE}}_{1} ]}}{{1 + {\text{r}}_{\text{e}} }} + \frac{{{\text{E}}[{\text{CE}}_{1} \times (1 + {\text{r}}_{\text{e}} ) + ({\text{CI}}_{2} - {\text{r}}_{\text{e}} \times {\text{CE}}_{1} ) - {\text{CE}}_{2} ]}}{{(1 + {\text{r}}_{\text{e}} )^{2} }} + \cdots $$

And, finally, cancelling offsetting terms, we get

$$ {\text{EV}}_{0} = {\text{CE}}_{0} + \sum\limits_{{{\text{t}} = 1}}^{\infty } {{\text{E}}\left[ {{\text{CI}}_{\text{t}} - {\text{r}}_{\text{e}} {\text{CE}}_{{{\text{t}} - 1}} } \right]} \times \left( {1 + {\text{r}}_{\text{e}} } \right)^{{ - {\text{t}}}} $$
(9)

That is, equity value is equal to current book value (CE0) plus the present value of expected residual income in all future years, where residual income is earnings in excess of the return required by common equity investors given the amount (CE) and cost (re) of common equity capital, that is, CIt − re CEt−1.Footnote 35

Appendix 2: Constructing trailing four quarters (TFQ) data

In quarterly reports, companies provide income statement data in two formats: quarterly and year-to-date. Before 1995, Compustat collected only the quarterly data. Starting in 1995, both forms of data are available in Compustat. In contrast, companies report quarterly cash flow information using the year-to-date format only. Cash flow data are available since 1988.

I measure most trailing four quarters (TFQ) data as the year-to-date value plus the previous year annual value minus the previous year’s year-to-date value for the same quarter. For the period 1988–1994, this requires that I first estimate the income statement year-to-date values; I do so by aggregating the relevant quarterly data.

For some variables, particularly those related to per share calculations, the process of calculating TFQ data is more complicated. For example, to calculate the weighted average shares outstanding, the data have to be adjusted with respect to stock splits and stock dividends as well as for the fraction of the period to which they relate (for example, year-to-date data for the third quarter have to by multiplied by ¾ before applying the TFQ calculation).

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Nissim, D. Relative valuation of U.S. insurance companies. Rev Account Stud 18, 324–359 (2013). https://doi.org/10.1007/s11142-012-9213-8

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