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 Combinations and Common Stock Returns: The Case of Joint Ventures
Published: 06/01/1985 | DOI: 10.1111/j.1540-6261.1985.tb04970.x
JOHN J. McCONNELL, TIMOTHY J. NANTELL
The gain to stockholders from mergers is well documented. However, there is little evidence as to whether the source of the gain is due to synergy or management displacement. Merger is just one of an almost limitless variety of ways in which firms combine resources to accomplish some objective. A joint venture is another. In addition to being of interest as an independent phenomenon, because the original managements of the parent firms remain intact under a joint venture, investigation of wealth gains from joint ventures provides an opportunity to isolate the management displacement hypothesis from the synergy hypothesis as the source of gains in corporate combinations. Our results are 1) there are significant wealth gains from joint ventures, 2) the smaller partner earns a larger excess rate of return while the dollar gains are more equally divided, and 3) the gains, scaled by resources committed, yield “premiums” similar to those in mergers. We are inclined to interpret our results as supportive of the synergy hypothesis as the source of gain from corporate combinations.
Variance and Lower Partial Moment Measures of Systematic Risk: Some Analytical and Empirical Results
Published: 06/01/1982 | DOI: 10.1111/j.1540-6261.1982.tb02227.x
KELLY PRICE, BARBARA PRICE, TIMOTHY J. NANTELL
As a measure of systematic risk, the lower partial moment measure requires fewer restrictive assumptions than does the variance measure. However, the latter enjoys far wider usage than the former, perhaps because of its familiarity and the fact that two measures of systematic risk are equivalent when return distributions are normal. This paper shows analytically that there are systematic differences in the two risk measures when return distributions are lognormal. Results of empirical tests show that there are indeed systematic differences in measured values of the two risk measures for securities with above average and with below average systematic risk.