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فایل - پروژه - مقاله

دانلود فایل ارزان

فایل - پروژه - مقاله

ترجمه مقالات لاتین 2017 رشته مدیریت: The impact of clawback provisions on information processing and investment behaviour

ترجمه مقالات لاتین 2017 رشته مدیریت: The impact of clawback provisions on information processing and investment behaviour

The impact of clawback provisions on information processing and investment behaviour Abstract Proposals after the last financial crisis in 2008 have called for an extension of the scope of clawback provisions in compensation contracts beyond what is commonly legally required. Under such an extended scope, managers would be held accountable for losses. The reason for such an extended scope is to counter incentives for excessive risk-taking that are currently present in many bonus contracts. We argue that such a call for an extended scope of clawback provisions ignores implications from prospect theory and motivated reasoning. We propose that if an investment decision can lead to either a gain or a loss for a company, then clawback provisions have a restraining effect on risk-taking compared to bonus-only contracts. In contrast, if the outcome of a decision affects only the potential size of a company’s loss, then clawback provisions lead to additional risk-taking compared to bonu ...

اصل و ترجمه مقاله لاتین A COMPARATIVE STUDY ON MICROAGGREGATION TECHNIQUES FOR MICRODATA PROTECTION

اصل و ترجمه مقاله لاتین A COMPARATIVE STUDY ON MICROAGGREGATION TECHNIQUES FOR MICRODATA PROTECTION

A COMPARATIVE STUDY ON MICROAGGREGATION TECHNIQUES FOR MICRODATA PROTECTION Abstract Microaggregation is an efficient Statistical Disclosure Control (SDC) perturbative technique for microdataprotection. It is a unified approach and naturally satisfies k-Anonymity without generalization orsuppression of data. Various microaggregation techniques: fixed-size and data-oriented for univariate andmultivariate data exists in the literature. These methods have been evaluated using the standard measures:Disclosure Risk (DR) and Information Loss (IL). Every time a new microaggregation technique wasproposed, a better trade-off between risk of disclosing data and data utility was achieved. Though thereexists an optimal univariate microaggregation method but unfortunately an optimal multivariatemicroaggregation method is an NP hard problem. Consequently, several heuristics have been proposed butno such method outperforms the other in all the possible criteria. In this paper we have performed a stu ...