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Control of Dividends, Capital Subscriptions, and Physical Inventories

Authors: Lode Li; Martin Shubik; Matthew J. Sobel;

Control of Dividends, Capital Subscriptions, and Physical Inventories

Abstract

Manufacturers manage interrelated flows of material and cash. Material needs capital, and sales contribute cash. Therefore, it may be beneficial to coordinate operational and financial decisions. We study a dynamic model of coordination in an equity-financed firm in which inventory and financial decisions interact in the presence of demand uncertainty, financial constraints, and a risk of default. The criterion is to maximize the expected present value of dividends net of capital subscriptions. The optimal target inventory level and financial decision variables are nondecreasing functions of the levels of inventory and retained earnings. Some important attributes of an optimal policy remain the same regardless of whether default precipitates Chapter 7 or Chapter 11 bankruptcy. The optimal policy is myopic, and if pertinent cost functions are piecewise linear, it is characterized with simple formulas. We show that the methods of inventory theory are useful in analyzing models of operational and financial coordination. This paper was accepted by Yossi Aviv, operations management.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
114
Top 1%
Top 10%
Average
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