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. This paper examines the choice of asset valuation rules from a managerial control perspective. A manager creates value for a firm through his effort choices. To support its operating activities, the firm also engages in financing activities such as credit sales to its customers. Since such financing activities merely change the pattern of cash flows across periods, an optimal compensation scheme must shield the manager form the risk associated with the financing activities. We show that residual income combined with fair value accounting for receivables eliminates this risk and provides an optimal performance measure. In contrast, compensation schemes based only on realized cash flows can be optimal only under exceptional circumstances. We also consider a setting in which there is sufficiently disaggregated information about periodic cash flows so as to eliminate not only the risk associated with financing activities but also the risk associated with customer defaults. The principal ...
... , x n , and the output vector y → � y 1 , y 2 , . . . , y n is made to reconstruct the input vector y → as much as possible by seeking the optimal parameter (w, b), and the reconstructed vector y → is the reliability feature of the power communication network after dimensionality reduction extracted by SAE [21][22][23][24][25]. ...
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With the rapid development of artificial intelligence, the information construction of the database plays a very important role in various industries, such as the field of asset appraisal. Therefore, we can use deep learning technology to carry out a dynamic evaluation of asset appraisal, simultaneously adjust, and improve the coordination degree for such system. In this paper, according to asset appraisal theory, we conduct a comprehensive scientific study on asset appraisal about the information construction of the database and the evaluation system, which is conducive to promote the self-improvement and development of the asset appraisal industry in terms of internal control construction. Experimental results show that our method using DL (deep learning) can well accomplish the dynamic evaluation of asset appraisal with competitive performance.
... Many studies and possible applications of these models were done, for example Lee (1999) has tried to unify the previous contributions and the possible implications of the Residual Income Model (RIM) within VBM systems. Other contributions have placed the emphasis on the evaluation of assets and investments as a managerial control tool (Dutta, Reichelstein, 1999). ...
... We assume a single consumption date and no discounting for simplicity. Our results carry over with minor modifications to a model with time-additive utility, multiple consumption dates, and discounting, while their qualitative nature remains unchanged; for details, see Dutta and Reichelstein (1999), Christensen, Feltham, Hofmann, and Şabac (2003), and Şabac (2007, 2008). ...
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Both soft, non‐contractible, and hard, contractible, information are informative about managerial ability and future firm performance. If a manager's future compensation depends on expectations of ability or future performance, then the manager has implicit incentives to affect the information. We examine the real incentive effects of soft information in a dynamic agency with limited commitment. When long‐term contracts are renegotiated, the rewards for future performance inherent in long‐term contracts allow the principal partial control over the implicit incentives. This is because the soft information affects the basis for contract renegotiation. With short‐term contracts, the principal has no control over the basis for contract negotiation, thus long‐term contracts generally dominate short‐term contracts. With long‐term contracts, the principal's control over implicit incentives is characterized in terms of effective contracting on an implicit aggregation of the soft information that arises from predicting (forming expectations of) future performance. We provide sufficient conditions for soft information to have no real incentive effects. In general, implicit incentives not controllable by the principal include fixed effects, such as career concerns driven by labour markets external to the agency. When controllable incentives span the fixed effects of career concerns, the latter have no real effects with regard to total managerial incentives—they would optimally be the same with or without career concerns. Our analysis suggests empirical tests for estimating career concerns that should explicitly incorporate non‐contractible information. This article is protected by copyright. All rights reserved.
... Holmstrom andMilgrom (1987, 1991) have shown that the optimality of linear contracts can be derived in a more general setting, where an agent controls the drift rate of a stochastic process by his effort. For literature using the LEN model in the area of performance measurement, see, for instance, Feltham and Xie (1994) and Dutta and Reichelstein (1999. 15 For the same representation of managerial preference in a multi-period contracting setting, see Sliwka (2002) and Dutta and Reichelstein (2003). ...
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