The Journal of Finance publishes leading research across all the major fields of finance. It is one of the most widely cited journals in academic finance, and in all of economics. Each of the six issues per year reaches over 8,000 academics, finance professionals, libraries, and government and financial institutions around the world. The journal is the official publication of The American Finance Association, the premier academic organization devoted to the study and promotion of knowledge about financial economics.
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Corporate Investment and Asset Price Dynamics: Implications for the Cross‐section of Returns
Published: 11/27/2005 | DOI: 10.1111/j.1540-6261.2004.00709.x
MURRAY CARLSON, ADLAI FISHER, RON GIAMMARINO
We show that corporate investment decisions can explain the conditional dynamics in expected asset returns. Our approach is similar in spirit to Berk, Green, and Naik (1999), but we introduce to the investment problem operating leverage, reversible real options, fixed adjustment costs, and finite growth opportunities. Asset betas vary over time with historical investment decisions and the current product market demand. Book‐to‐market effects emerge and relate to operating leverage, while size captures the residual importance of growth options relative to assets in place. We estimate and test the model using simulation methods and reproduce portfolio excess returns comparable to the data.
Corporate Investment and Asset Price Dynamics: Implications for SEO Event Studies and Long‐Run Performance
Published: 05/16/2006 | DOI: 10.1111/j.1540-6261.2006.00865.x
MURRAY CARLSON, ADLAI FISHER, RON GIAMMARINO
We present a rational theory of SEOs that explains a pre‐issuance price run‐up, a negative announcement effect, and long‐run post‐issuance underperformance. When SEOs finance investment in a real options framework, expected returns decrease endogenously because growth options are converted into assets in place. Regardless of their risk, the new assets are less risky than the options they replace. Although both size and book‐to‐market effects are present, standard matching procedures fail to fully capture the dynamics of risk and expected return. We calibrate the model and show that it closely matches the primary features of SEO return dynamics.