Intermediaries such as financial advisers serve as an interface between portfolio managers and investors. A large fraction of their compensation is often provided through kickbacks from the portfolio manager. We provide an explanation for the widespread use of intermediaries and kickbacks. Depending on the degree of investor sophistication, kickbacks are used either for price discrimination or aggressive marketing. We explore the effects of these arrangements on fund size, flows, performance, and investor welfare. Kickbacks allow higher management fees to be charged, thereby lowering net returns. Competition among active portfolio managers reduces kickbacks and increases the independence of advisory services.
We develop a model of performance evaluation and fund flows for mutual funds in a family. Family performance has two effects on a member fund's estimated skill and inflows: a positive common‐skill effect, and a negative correlated‐noise effect. The overall spillover can be either positive or negative, depending on the weight of common skill and correlation of noise in returns. Its absolute value increases with family size, and declines over time. The sensitivity of flows to a fund's own performance is affected accordingly. Empirical estimates of fund flow sensitivities show patterns consistent with rational cross‐fund learning within families.
We examine empirically and theoretically the relation between firms’ risk and distance to consumers in a production network. We document two novel facts: firms farther away from consumers have higher risk premiums and higher exposure to aggregate productivity. We quantitatively explain these findings using a general equilibrium model featuring a multilayer production process. The economic force is “vertical creative destruction,” that is, positive productivity shocks to suppliers devalue customers’ assets-in-place, thereby lowering the cyclicality of downstream firms’ values. We show that vertical creative destruction varies with competition and firm characteristics and generates sizable cross-sectional differences in risk premiums.
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