Abstract. Issues surrounding the allocation of sunk capacity costs to products are among the oldest in managerial accounting. On the one hand, such costs are generally deemed to be irrelevant, but on the other hand, actual accounting systems commonly make these allocations. This paper examines a decision maker who incurs costs to acquire capacity and then uses an opportunity cost to allocate that capacity among a sequence of product proposals. Under specified circumstances, the sunk cost of capacity is shown to approximate the optimal opportunity cost of capacity. As the number of product proposals grows, the expected opportunity loss from using a simple sunk cost based capacity allocation rule goes to zero. The model is extended to consider different types of products and a multiperiod setting. Résumé. Les questions qui entourent la répartition des coûts irrécupérables relatifs à la capacité entre les différents produits comptent parmi les plus vieux problèmes en comptabilité de gestion. D'une part, ces coûts sont généralement réputés n'être pas pertinents, tandis que d'autre part, en réalité, les systèmes de comptabilité assurent couramment ces répartitions. Les auteurs examinent le cas d'un décideur qui engage des frais pour acquérir une certaine capacité et utilise ensuite un coût d'option pour répartir cette capacité entre une série de projets de fabrication de produits. Dans des circonstances données, les auteurs démontrent que les coûts irrécupérables de la capacité acquise se rapprochent du coût d'option optimal de cette capacité. À mesure que croît le nombre de projets de fabrication de produits, la perte d'option prévue, si l'on utilise une règle de répartition simple de la capacité fondée sur les coûts irrécupérables, se rapproche de zéro. Le modèle est élargi de façon à englober différents types de produits et plusieurs périodes.

Abstract One of the most common decisions facing an internal auditor is choosing which line items to investigate. An extensive literature (Dworin and Grimlund 1984; Leslie et al. 1980; Menz& fricke 1984; Teitlebaum and Robinson 1975) deals with the statistical and decision-theoretic aspects of his choice. This paper expands on previous work by adding a strategic source of errors: dishonest employees. It addresses the question of how the presence of strategic errors affects the relationship between the auditor's testing strategy and item value. I show that incorporating strategic errors can lead to audit strategies similar to Physical Units and Dollar Units Sampling. I highlight the assumptions driving the results by contrasting a firm's (or internal auditor's) use of an optional test in four stylized models of accounts receivable. The first model examines the firm's behavior when faced with nonstrategic (statistical) billing errors. In this model the accounting system generates random errors that result in over- or underbilling customers. The firm can use a costly, imperfect test to remove errors before the bills are sent out. In this nonstrategic model the firm randomizes and tests an item if and only if the benefit is greater than the cost. Because the amount of billing error is unrelated to the item value, there is no clear link between the firm's testing decision and the value of the line item. The second billing model adds the possible existence of dishonest employees who can steal from line items. A dishonest employee makes two decisions. He decides whether to steal from the line item, and, if he steals, he chooses the amount of the theft. A dishonest employee would steal the entire item if he were certain that the firm would never test that item. The dishonest employee's behavior forces the firm to consider the value of the item in determining the region of untested items. Specifically, low value items are never tested. As in many strategic models, the interaction with dishonest employees may lead to randomization. In particular, the randomized testing strategy can look like Stratified Physical Units Attributes Sampling (Leslie et alt 1980). The firm sorts items into different groups and each item in a group has the same probability of being tested. The third model contains only the statistical errors of incorrectly adding or deleting a sales discount, a percentage of the item value. Since the testing gain is directly related to the value of the line item, the firm's strategy depends on an item's value. The firm always tests high value items, and never tests low value items. The fourth model adds potentially dishonest employees who can pros vide unearned sales discounts to their confederates. In this model the firm stratifies items into three groups. It never investigates small items, always investigates large items, and randomizes over intermediate value items with probabilities roughly proportionate to the value of the item. This procedure is similar to a common audit procedure, Dollar Unit Cell Width Sampling (Leslie et al. 1980).

[One of the most common decisions facing an internal auditor is choosing which line items to investigate. An extensive literature (Dworin and Grimlund 1984; Leslie et al. 1980; Menzefricke 1984; Teitlebaum and Robinson 1975) deals with the statistical and decision-theoretic aspects of his choice. This paper expands on previous work by adding a strategic source of errors: dishonest employees. It addresses the question of how the presence of strategic errors affects the relationship between the auditor's testing strategy and item value. I show that incorporating strategic errors can lead to audit strategies similar to Physical Units and Dollar Units Sampling. I highlight the assumptions driving the results by contrasting a firm's (or internal auditor's) use of an optional test in four stylized models of accounts receivable. The first model examines the firm's behavior when faced with non-strategic (statistical) billing errors. In this model the accounting system generates random errors that result in over- or underbilling customers. The firm can use a costly, imperfect test to remove errors before the bills are sent out. In this nonstrategic model the firm randomizes and tests an item if and only if the benefit is greater than the cost. Because the amount of billing error is unrelated to the item value, there is no clear link between the firm's testing decision and the value of the line item. The second billing model adds the possible existence of dishonest employees who can steal from line items. A dishonest employee makes two decisions. He decides whether to steal from the line item, and, if he steals, he chooses the amount of the theft. A dishonest employee would steal the entire item if he were certain that the firm would never test that item. The dishonest employee's behavior forces the firm to consider the value of the item in determining the region of untested items. Specifically, low value items are never tested. As in many strategic models, the interaction with dishonest employees may lead to randomization. In particular, the randomized testing strategy can look like Stratified Physical Units Attributes Sampling (Leslie et al. 1980). The firm sorts items into different groups and each item in a group has the same probability of being tested. The third model contains only the statistical errors of incorrectly adding or deleting a sales discount, a percentage of the item value. Since the testing gain is directly related to the value of the line item, the firm's strategy depends on an item's value. The firm always tests high value items, and never tests low value items. The fourth model adds potentially dishonest employees who can provide unearned sales discounts to their confederates. In this model the firm stratifies items into three groups. It never investigates small items, always investigates large items, and randomizes over intermediate value items with probabilities roughly proportionate to the value of the item. This procedure is similar to a common audit procedure, Dollar Unit Cell Width Sampling (Leslie et al. 1980).]

Corporate debt sales have been regarded as “no news” events because there is no significant price reaction on average to their announcement. We explore the hypothesis that this lack of average price reaction to debt sale announcements is explained by the partial anticipation of debt offers. Theory suggests that the demand for debt capital is fundamentally related to changes in the sources and uses of funds, and we find evidence that earnings are significantly lower, investment growth is significantly higher, and, for some issuers, debt refunding requirements are significantly greater in the period immediately prior to issue than in periods well before and after the issue. We find that this preissue information conditions investors’ expectations of issue, thereby affecting the cross-sectional announcement date price reaction to debt sales in two ways. First, announcement date price reactions are negative, on average, for unanticipated offers or for those offers where prior information suggests that an issue is unlikely. Second, holding the probability of issue constant, announcement date price reactions are significantly more negative for offers that raise more capital than investors expected. These results are consistent with cash flow signaling and asymmetric information models of corporate financings.

[Corporate debt sales have been regarded as "no news" events because there is no significant price reaction on average to their announcement. We explore the hypothesis that this lack of average price reaction to debt sale announcements is explained by the partial anticipation of debt offers. Theory suggests that the demand for debt capital is fundamentally related to changes in the sources and uses of funds, and we find evidence that earnings are significantly lower, investment growth is significantly higher, and, for some issuers, debt refunding requirements are significantly greater in the period immediately prior to issue than in periods well before and after the issue. We find that this preissue information conditions investors' expectations of issue, thereby affecting the cross-sectional announcement date price reaction to debt sales in two ways. First, announcement date price reactions are negative, on average, for unanticipated offers or for those offers where prior information suggests that an issue is unlikely. Second, holding the probability of issue constant, announcement date price reactions are significantly more negative for offers that raise more capital than investors expected. These results are consistent with cash flow signaling and asymmetric information models of corporate financings.]

Corporate debt sales have been regarded as “no news” events because there is no significant price reaction on average to their announcement. We explore the hypothesis that this lack of average price reaction to debt sale announcements is explained by the partial anticipation of debt offers. Theory suggests that the demand for debt capital is fundamentally related to changes in the sources and uses of funds, and we find evidence that earnings are significantly lower, investment growth is significantly higher, and, for some issuers, debt refunding requirements are significantly greater in the period immediately prior to issue than in periods well before and after the issue. We find that this preissue information conditions investors’ expectations of issue, thereby affecting the cross-sectional announcement date price reaction to debt sales in two ways. First, announcement date price reactions are negative, on average, for unanticipated offers or for those offers where prior information suggests that an issue is unlikely. Second, holding the probability of issue constant, announcement date price reactions are significantly more negative for offers that raise more capital than investors expected. These results are consistent with cash flow signaling and asymmetric information models of corporate financings.