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1 – 10 of 33Wm. Steven Smith and Steven A. Dennis
We develop two new measures for assessing project uncertainty in sensitivity/scenario analyses. For sensitivity analysis, we develop the “Z% Elasticity Coefficient,” building on…
Abstract
We develop two new measures for assessing project uncertainty in sensitivity/scenario analyses. For sensitivity analysis, we develop the “Z% Elasticity Coefficient,” building on the elasticity concept in economics. For scenario analyses, we develop the “Proportionate Range.” Both are substitutes for employing mean–variance (of Net Present Value or NPV) analysis, which has been criticized for assessing project uncertainty. The appendix provides examples of computing each measure for a hypothetical project.
Steven A. Dennis and Wm. Steven Smith
We develop an indicator of project uncertainty via the sensitivity of the IRR to any assumption regarding which performance scenario for the project is most relevant. The most…
Abstract
We develop an indicator of project uncertainty via the sensitivity of the IRR to any assumption regarding which performance scenario for the project is most relevant. The most relevant scenario represents the performance (into the future) that we should project (as compared to any we actually project). Our indicator is a measure one can regard as a form of absolute value of elasticity that we define as the ratio of an expected absolute value change in IRR, over differing scenarios, to a location parameter.
Steven A. Dennis, Prodosh Simlai and Wm. Steven Smith
Previous studies have shown that stock returns bear a premium for downside risk versus upside potential. We develop a new risk measure which scales the traditional CAPM beta by…
Abstract
Previous studies have shown that stock returns bear a premium for downside risk versus upside potential. We develop a new risk measure which scales the traditional CAPM beta by the ratio of the upside beta to the downside beta, thereby incorporating the effects of both upside potential and downside risk. This “modified” beta has substantial explanatory power in standard asset pricing tests, outperforming existing measures, and it is robust to various alternative modeling and estimation techniques.
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Wm. Steven Smith and Charles Harter
Existing approaches to the financial lease versus purchase decision assume, at least implicitly at the moment of the decision, that purchase entails ownership of the leasable…
Abstract
Existing approaches to the financial lease versus purchase decision assume, at least implicitly at the moment of the decision, that purchase entails ownership of the leasable asset over its entire remaining economic life. At any subsequent moment in time, however, if a firm already owns the leasable asset, it can retain long-term use of the asset by deciding to either retain ownership or enter into a sale and leaseback agreement. The purpose of this chapter is to detail the derivation of an innovative, yet intuitive, theoretical approach to analyze a firm's financial lease versus purchase decision in asset markets conducive to future sales and leaseback of owned assets.
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some…
Abstract
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.
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