The authors simultaneously address three basic issues regarding the corporation: the optimal scope of operation, the optimal financial structure, and the relationship between these two. The starting point is that financial structure serves as a bonding device on the managers' self-interest behavior. The effectiveness of this bonding depends on the distribution of the firm's future cash flow, which in turn depends on the firm's scope. The authors' theory also links the firm's investment decisions to its operation scope. As empirical implications, the theory reconciles the failure of the 1960s U.S. conglomerates with the success of the Japanese keiretsu.

We simultaneously address three basic issues regarding the corporation: the optimal scope of operation, the optimal financial structure, and the relationship between these two. The starting point is that financial structure serves as a bonding device on the managers' self‐interest behavior. The effectiveness of this bonding depends on the distribution of the firm's future cash flow, which in turn depends on the firm's scope. Our theory also links the firm's investment decisions to its operation scope. As empirical implications, the theory reconciles the failure of the 1960s U.S. conglomerates with the success of the Japanese Keiretsu .

We simultaneously address three basic issues regarding the corporation: the optimal scope of operation, the optimal financial structure, and the relationship between these two. The starting point is that financial structure serves as a bonding device on the managers' self-interest behavior. The effectiveness of this bonding depends on the distribution of the firm's future cash flow, which in turn depends on the firm's scope. Our theory also links the firm's investment decisions to its operation scope. As empirical implications, the theory reconciles the failure of the 1960s U.S. conglomerates with the success of the Japanese Keiretsu.

By using nonparametric kernel estimation method and a central limit theorem for degenerate U-statistics of order higher than two, the authors develop several consistent model specification tests in the context of a nonparametric regression model. These include tests for omitted variables, tests for a partially linear model, and tests for a semiparametric single index model. The asymptotic normality of the test statistics are established under the respective null hypotheses and consistent estimators of the asymptotic variances are provided.