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The Implied Cost of Capital: A New Approach

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  • Hou, Kewei

    (Ohio State University)

  • van Dijk, Mathijs A.

    (Erasmus University Rotterdam)

  • Zhang, Yinglei

    (Chinese University of Hong Kong)

Abstract

We propose a new approach to estimate the implied cost of capital (ICC). Our approach is distinct from prior studies in that we do not rely on analysts' earnings forecasts to compute the ICC. Instead, we use a cross-sectional model to forecast the earnings of individual firms. Our approach has two major advantages. First, it allows us to estimate the ICC for a much larger sample of firms over a much longer time period. Second, it is not affected by the various issues that lead to the well-documented biases in analysts' forecasts. Our cross-sectional earnings model delivers earnings forecasts that outperform consensus analyst forecasts. We show that, as a result, our approach to estimate the ICC produces a more reliable proxy for expected returns than other approaches. We present evidence on the implications for the equity premium and a variety of asset pricing anomalies.

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Paper provided by Ohio State University, Charles A. Dice Center for Research in Financial Economics in its series Working Paper Series with number 2010-4.

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Date of creation: Feb 2010
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Handle: RePEc:ecl:ohidic:2010-4

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Cited by:
  1. Heinrichs, Nicolas & Hess, Dieter & Homburg, Carsten & Lorenz, Michael & Sievers, Soenke, 2011. "Extended dividend, cash flow and residual income valuation models: Accounting for deviations from ideal conditions," CFR Working Papers 11-11, University of Cologne, Centre for Financial Research (CFR).
  2. Doyle, Jeffrey T. & Jennings, Jared N. & Soliman, Mark T., 2013. "Do managers define non-GAAP earnings to meet or beat analyst forecasts?," Journal of Accounting and Economics, Elsevier, vol. 56(1), pages 40-56.
  3. Kim, Abby, 2014. "The value of firms' voluntary commitment to improve transparency: The case of special segments on Euronext," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 342-359.
  4. Hwang, Lee-Seok & Lee, Woo-Jong & Lim, Seung-Yeon & Park, Kyung-Ho, 2013. "Does information risk affect the implied cost of equity capital? An analysis of PIN and adjusted PIN," Journal of Accounting and Economics, Elsevier, vol. 55(2), pages 148-167.
  5. Firth, Michael & Rui, Oliver M. & Wu, Wenfeng, 2011. "Cooking the books: Recipes and costs of falsified financial statements in China," Journal of Corporate Finance, Elsevier, vol. 17(2), pages 371-390, April.
  6. Li, Yan & Ng, David T. & Swaminathan, Bhaskaran, 2013. "Predicting market returns using aggregate implied cost of capital," Journal of Financial Economics, Elsevier, vol. 110(2), pages 419-436.
  7. Jäckel, Christoph, 2013. "Model uncertainty and expected return proxies," MPRA Paper 51978, University Library of Munich, Germany.
  8. Jones, Christopher S. & Tuzel, Selale, 2013. "Inventory investment and the cost of capital," Journal of Financial Economics, Elsevier, vol. 107(3), pages 557-579.
  9. Zana Grigaliuniene, 2013. "Time-Series Models Forecasting Performance In The Baltic Stock Market," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(1).
  10. So, Eric C., 2013. "A new approach to predicting analyst forecast errors: Do investors overweight analyst forecasts?," Journal of Financial Economics, Elsevier, vol. 108(3), pages 615-640.
  11. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.

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