Mit diesem Beitrag soll ein grundlegender Zugang zur investitionsrechnerischen Bewertung von riskanten, ausfallgefährdeten Krediten geschaffen werden. Gegenübergestellt werden die Diskontierung von vereinbarten Zahlungen mit der Effektivverzinsung äquivalenter Kredite und die Diskontierung...

In this paper the author proves that the Expected Net Future Value (ENFV) criterion can lead a risk neutral social planner to reject projects that increase expected utility. By contrast, the Expected Net Present Value (ENPV) rule correctly identifies the economic value of the project. While the...

In capital budgeting problems future cash flows are discounted using the expected one period returns of the investment. In this paper we establish a theory that relates this approach to the assumption that markets are free of arbitrage. Our goal is to uncover implicit assumptions on the set of...

In an experiment, we model two stylized facts about capital budgeting practice, budgetary slack creation and delegation of decision-making authority. In our setting, under centralization, headquarters announces a budget, the division manager gives a cost report, and headquarters decides on the...

When self-interested agents compete for scarce resources, they often exaggerate the promise of their activities. As such, principals must consider both the quality of each opportunity and each agent’s credibility. We show that principals are better off with less transparency because they gain...

The budget forms the legal basis of government spending. If a budget is not in place at the beginning of the fiscal year, planning as well as current spending are jeopardized and government shutdown may result. This paper develops a continuous-time war-of-attrition model of budgeting in a...

In order to integrate and facilitate the research, calculation and analysis methods around the Financial Risk Meter (FRM) project, the R package RiskAnalytics has been developed. Its main goal is to provide data processing and parallelized quantile lasso regression methods for risk analysis...

A motivated finance-major student should master at least one programming language. This is especially true for students from quantitative finance, business analytics, those attending a Master of Science in Finance or other financial engineering programs. Among the preferred languages, R holds...

This toolkit seeks to address the gap in data utilization by providing guidance and tools based on practical experience to help countries implement provider payment monitoring systems that use claims and/or other routine administrative data. Such a monitoring system can: 1) generate indicators...

With growing economic globalization, the modern service sector is in great need of business intelligence for data analytics and computational statistics. The joint application of big data analytics, computational statistics and business intelligence has great potential to make the engineering of...