Pages: i-vi | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00696.x | Cited by: 0
Pages: vii-xii | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00697.x | Cited by: 0
Pages: 569-581 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00645.x | Cited by: 36
AMIR BARNEA, ROBERT A. HAUGEN, LEMMA W. SENBET
Pages: 583-597 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00646.x | Cited by: 9
The existence of transaction costs explains why investors do not fully diversify their portfolios. This paper examines the implications of such limited diversification on equilibrium asset prices in the framework of the capital asset pricing model. In the pricing equation obtained here an asset's risk premium depends on a weighted average of its covariance with the market and its own variance.
Pages: 599-616 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00647.x | Cited by: 103
KENNETH B. DUNN, JOHN J. McCONNELL
GNMA mortgage‐backed pass‐through securities are supported by pools of amortizing, callable loans. Additionally, mortgagors often prepay their loans when the market interest rate is above the coupon rate of their loans. This paper develops a model for pricing GNMA securities and uses it to examine the impact of the amortization, call, and prepayment features on the prices, risks and expected returns of GNMA's. The amortization and prepayment features each have a positive effect on price, while the call feature has a negative impact. All three features reduce a GNMA security's interest rate risk and, consequently, its expected return.
Pages: 617-627 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00648.x | Cited by: 12
This paper addresses the question of how government mission‐oriented R & D spending affects private R & D spending and thereby the total investment in technology. The problem is approached within the context of the capital asset pricing model in which the firm views investment projects in terms of their risk and return characteristics. The firm is assumed to produce jointly an established product and an R & D‐intensive product, where the latter generates an additional output of technology, or spillover, that is used as an input into the former. By investing in R & D the firm alters its risk and return characteristics in two ways: through the expected profits from the sale of the R & D‐intensive good; and through the expected profits from the spillover. In this model, government mission‐oriented R & D contracting affects the firm by enabling it to separate to some extent these two sources of risk and return. The main implication of the analysis is that while some public crowding out of private R & D is likely, this is almost certain to be incomplete. The empirical evidence from the U.S. transport industry supports the model and suggests that each dollar of government funding adds around 92 cents to total R & D spending; crowding out private investment by as little as eight percent.
Pages: 629-647 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00649.x | Cited by: 112
ROBERT A. HAUGEN, LEMMA W. SENBET
Pages: 649-659 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00650.x | Cited by: 5
WARREN L. COATS
A growing number of large U.S. banks have used artificial Eurodollar transactions in connection with the heavier weighting of Fridays in the calculation of required reserves to significantly reduce the impact on them of that requirement. This reserve avoidance behavior bestows an unintended and inequitable benefit on those banks engaging in it, unnecessarily increases risks from credit exposures and potentially distorts money stock measures. The incentive for this activity and hence its practice can best be removed by paying interest on required reserves or weighting Fridays equally with all other business days in the reserve requirement calculations.
Pages: 661-675 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00651.x | Cited by: 14
WILLIAM A. BOMBERGER, WILLIAM J. FRAZER
The observed relationship between the standard deviation of forecasts and past forecast errors as found in the Livingston survey suggests the interpretation of the standard deviation as a measure of inflation uncertainty. The mean and the standard deviation for the inflation rate forecast found in the Livingston survey, furthermore, are used as regressors in a reduced‐form interest rate equation. The results indicate a large negative effect of such uncertainty on interest rates. The inclusion of the uncertainty measure and commonly omitted lagged values of all variables in our analysis of data leads to more theoretically plausible estimated effects of money growth and expected inflation on interest rates than do standard estimates.
Pages: 677-684 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00652.x | Cited by: 1
EDWARD C. LAWRENCE, GREGORY E. ELLIEHAUSEN
This paper provides further evidence on the distributional impact of interest rate ceilings on the small saver. Cross‐section data from the 1977 Consumer Credit Survey was used to estimate the implicit losses imposed on different income classes by government regulations. Our findings generally support earlier studies which found the implicit burden to be regressive among income classes. However, the degree of regressivity showed a marked decrease since 1970. These results may be explained by portfolio adjustments of households and financial innovations in response to deposit rate ceilings and accelerating inflation during the 1970s.
Pages: 685-695 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00653.x | Cited by: 7
Under the same assumptions that Ross used to assert the existence of an efficient fund (on which a spanning set of options can be written) we prove that almost any portfolio is an efficient fund. From a constructive point of view, a randomly chosen vector of portfolio weights yields an efficient fund. When the Ross assumptions are relaxed, a limited notion of efficiency‐maximal efficiency‐is the best attainable. The maximally efficient funds are also everywhere dense in the portfolio space. Some implications are discussed and illustrative examples given.
Pages: 697-703 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00654.x | Cited by: 29
ROBERT E. CUMBY, MAURICE OBSTFELD
Pages: 705-710 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00655.x | Cited by: 11
Pages: 711-719 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00656.x | Cited by: 21
Pages: 721-737 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00657.x | Cited by: 3
Pages: 739-741 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00658.x | Cited by: 0
Pages: 743-745 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00659.x | Cited by: 0
JOHN H. MAKIN
Pages: 747-748 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00660.x | Cited by: 2
KEE S. KIM
Pages: 749-750 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00661.x | Cited by: 1
ROBERT G. BOWMAN
Pages: 751-765 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00662.x | Cited by: 0
Book reviewed in this article:
Pages: 767-767 | Published: 6/1981 | DOI: 10.1111/j.1540-6261.1981.tb00663.x | Cited by: 0