Abstract
This paper involves a critique of the Implied Cost of Capital (ICC) that leads to an alternative measure which, like the ICC, is extracted from accounting data. The critique deals with how the ICC handles the accounting involved. First, the ICC fails an accounting consistency condition. Second, expected earnings growth conveys risk and return, but this is not recognized when a growth rate is inserted in the reverse engineering exercise. Empirical tests so confirm. An alternative accounting-based measure accommodates these points and validates on criteria indicating risk and return. The resulting measure is a yield to maturity for equities, much like that for a bond.
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Notes
Others, such as Callen and Segal (2004), Lyle et al. (2013), Lyle and Wang (2015), and Wang et al. (2019), impose an assumed auto-regressive process for the evolution of accounting numbers, some with the (autoregressive) model of Voulteenaho (2002). These papers are not covered here. They are critiqued separately in Penman (2016) and Penman and Yehuda (2019, appendix) with the point that an autoregressive process is not consistent with how accounting evolves under accounting principles that indicate risk and return.
An unlevered version of the model valuing the business enterprise is sometimes applied with the growth rate then being the growth in residual income for the business (without the effect of leverage). The same critique offered here applies.
Feltham and Ohlson (1995) and Zhang (2000) show that accounting determines growth rates. Penman (1997) shows that g in a “terminal value” calculation is determined by a parameter capturing the accounting for earnings and book value. Monahan (2011), and Ketterer, Tsalavoutas, and Eierle (2017) recognize the point in the context of ICC calculations. The latter paper shows that growth in the abnormal earning growth model of Ohlson and Juettner-Nauroth (2005) better captures the effect of conservative accounting on earnings.
The empirical support is in Penman and Reggiani (2013), Penman, Reggiani, Richardson and Tuna (2018), Penman and Reggiani (2018), and Penman and Zhang (2021). Penman and Yehuda (2019) show how the revenue recognition principle and conservative accounting for investment convey “discount-rate news” to the market.
The simple model is presented just to convey the ideas. The full payout assumption may not be palatable, but payout (retention) other than full payout adds to earnings growth, g, but does not add price under M&M conditions. So the model isolates the growth that potentially affects price and the expected return, r, and at the same time is M&M consistent. The point here can be made with an M&M consistent model accommodating all payouts, as with the Ohlson and Juettner-Nauroth (2005) model with the added accounting assumptions in Penman, Reggiani, Richardson, and Tuna (2018).
To maximize coverage of stocks, these numbers are for the trailing E/P rather than the forward E/P in the valuation model (1), but the same point can be made from observed (trailing) earnings at t, with growth forecast from that point rather than from t + 1.
g(r) = gEarnings if the growth rate in book value equals the growth rate in earnings (with a constant r). That will be the case if \(\frac{{Earnings}_{t+\tau +1}}{{B}_{t+\tau }}\) is constant all τ. (Note that this is not the expected book rate of return, rather a ratio of expectations.) As a special case, note that gEarnings > 0 can occur with g(r) = 0.
The methods in Mohanram and Gode to deal with samples selection and data, forecasting dates, and short-term EPS growth rates, are different from the original papers they referenced and also ours (which imitate those papers). Therefore, we reconstructed ICC estimates unadjusted for analyst errors, as in their paper. The results were similar to those in Panel A of Table 2. Note that the PEG model in Mohanram and Gode (2013) differs somewhat from the MPEG, so we performed calculations with both, with similar results.
Our analysis is for 1981–2016. To ensure consistency with the ETSS findings, we first replicated their analysis for their sample period up to 1998. We maintained their criteria for dealing with data issues and reinvestment rates for the longer period. We also obtained similar results when we used analysts’ forecasts and P/B ratios three months after fiscal-year end rather than at fiscal-year end, when we used IBES prices and shares outstanding rather than those from Compustat, when we made adjustments for differences in IBES and Compustat numbers for shares outstanding, and when we used different dividend reinvestment rates.
While most of the ICC here have little correlation with returns (by themselves), even slightly negative, Mohanram and Gode (2013) report positive correlation. As we kept to the methods in the original papers (see footnote 10) that may explain some of the difference. Further, the samples differ somewhat because of different sample periods and availability of forecasts on IBES. Several research assistants replicated with their procedures for the period covered by their sample, 1983–2008, but with the number of firm/years observations reduced from 36,012 in their sample to 21,073 due to availability of forecasts and corresponding firm data on Compustsat. Results were similar to those here.
For such a survey, see Fernandez et al. (2021) that covers 88 countries and provides links to previous surveys from 2008 to 2020. The Duff and Phelps SBBI Yearbook (once published by Ibbotson and Associates) updates estimates of the market risk premium annually.
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Penman, S., Zhu, J. & Wang, H. The implied cost of capital: accounting for growth. Rev Quant Finan Acc 61, 1029–1056 (2023). https://doi.org/10.1007/s11156-023-01175-y
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DOI: https://doi.org/10.1007/s11156-023-01175-y