Knowledge that Transforms

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An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

Presently, foreign banks may enter the United States, depending on state law, in one of four forms:(1) Branches, (2) Agencies, (3) Affiliates, and(4) Representative offices.

Increasing emphasis on performance by the investment community has stimulated many innovations for accomplishing capital gains. Attention has been refocused on an established medium for this growth — investing in the new issue. Historically in and out of favor with security buyers, this particular type of investment has recently been enjoying unprecedented popularity.

Considerable attention has been given in recent years to studies of the cost of capital and investor preferences for dividends, but empirical analysis of the various theoretical propositions has been complicated by numerous difficulties associated with estimating the parameters in question. In many of the empirical studies, ordinary least squares has been the statistical method applied because, under certain assumptions, ordinary least squares produces unbiased estimates with a minimum of variance. However, the validity of one of the assumptions, namely, that all independent variables contain no measurement error, has been questioned by numerous writers. More specifically, it has been argued that investors tend to ignore temporary or random disturbances in current reported earnings. Thus, values of current earnings that are actually observed for the statistical study may be different from those values which ideally would be observed; i.e., they may contain measurement error, the size of which is reflected by the difference between the current reported earnings and the values on which investors presumably base their decisions. For example, in such least squares regressions as price on dividends and retained earnings, the impact of the measurement error is considered to fall mainly on the retained earnings, since dividends are thought to be relatively stable.

With the rapid growth in various types of corporate combinations, many opportunities arise in which increased internal efficiency in the allocation of capital budgeting resources may be obtained. Although the resource-transfer methodology proposed in this paper is discussed within the context of a merger/acquisition environment, the operational analysis conveivably could be applied to multiproduct, multifirm, or multinational situations. This study examines an application in which a linear programming model can be used operationally as an analytical planning device (1) to obtain efficient capital budgets for the merged companies, and (2) to quantify the monetary value of potential gains in efficiency produced by a merger. Conceptually, the model assists management in searching for excess capacity in each company, efficiently combines scarce resources, selects an optimal project list for the merged company, and indicates what the composition of the new capital budget should be. In addition, a variable step function provides for multiplicative adjustments in common resource constraints. These adjustments might be positive (negative) if the combination results in a more than proportionate increase (decrease) in the availability of a scarce resource.