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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High‐Water Marks: High Risk Appetites? Convex Compensation, Long Horizons, and Portfolio Choice
Published: 01/23/2009 | DOI: 10.1111/j.1540-6261.2008.01427.x
STAVROS PANAGEAS, MARK M. WESTERFIELD
We study the portfolio choice of hedge fund managers who are compensated by high‐water mark contracts. We find that even risk‐neutral managers do not place unbounded weights on risky assets, despite option‐like contracts. Instead, they place a constant fraction of funds in a mean‐variance efficient portfolio and the rest in the riskless asset, acting as would constant relative risk aversion (CRRA) investors. This result is a direct consequence of the in(de)finite horizon of the contract. We show that the risk‐seeking incentives of option‐like contracts rely on combining finite horizons and convex compensation schemes rather than on convexity alone.
Technological Growth and Asset Pricing
Published: 07/19/2012 | DOI: 10.1111/j.1540-6261.2012.01747.x
NICOLAE GÂRLEANU, STAVROS PANAGEAS, JIANFENG YU
We study the asset‐pricing implications of technological growth in a model with “small,” disembodied productivity shocks and “large,” infrequent technological innovations, which are embodied into new capital vintages. The technological‐adoption process leads to endogenous cycles in output and asset valuations. This process can help explain stylized asset‐valuation patterns around major technological innovations. More importantly, it can help provide a unified, investment‐based theory for numerous well‐documented facts related to excess‐return predictability. To illustrate the distinguishing features of our theory, we highlight novel implications pertaining to the joint time‐series properties of consumption and excess returns.