The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform
Esbjörn Segelod - One of the best experts on this subject based on the ideXlab platform.
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Capital Budgeting in a Fast-changing world
Long Range Planning, 1998Co-Authors: Esbjörn SegelodAbstract:This article analyses the Capital Budgeting systems of major Swedish corporations. It shows how and why their systems have changed during the last 30 years. Comparisons are made with Anglo-Saxon groups. Better knowledge of how modern Capital Budgeting systems work and have evolved, is essential to our understanding of such systems and the renewed debate on whether Capital Budgeting systems can cause over-investments in assets, which are easy to measure and classify, and under-investments in intangibles and organizational capabilities.
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The Capital Budgeting manual
1995Co-Authors: Esbjörn SegelodAbstract:There has been very many postal surveys of Capital Budgeting practice, but almost no studies of the written routines that fix the practice of those groups that use a Capital Budgeting manual. This ...
Dorota Kuchta - One of the best experts on this subject based on the ideXlab platform.
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fuzzy Capital Budgeting
Fuzzy Sets and Systems, 2000Co-Authors: Dorota KuchtaAbstract:Fuzzy equivalents of all the classical Capital Budgeting (investment choice) methods are generalised or proposed. These equivalents can be used to evaluate and compare projects in which the cash ows, duration time and required rate of return (cost of Capital) are given imprecisely, in the form of a fuzzy number. c 2000 Elsevier Science B.V. All rights reserved.
Ricardo Tanscheit - One of the best experts on this subject based on the ideXlab platform.
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A unified solution in fuzzy Capital Budgeting
Expert Systems with Applications, 2018Co-Authors: Antonio Carlos De Souza Sampaio Filho, Marley M. B. R. Vellasco, Ricardo TanscheitAbstract:Abstract Since the mid-1980s, both academics and practitioners have proposed and discussed various solutions in fuzzy Capital Budgeting. Based primarily on traditional Capital Budgeting methods, these solutions present the same problems as their respective deterministic methods: the implicit assumptions of the reinvestment rates; the possibility of multiple rates of return; and the possibility of anomalous behavior of the net present value method. This paper presents a unified solution in fuzzy Capital Budgeting based on modified deterministic methods proposed in the financial literature. This unified approach eliminates those problems and has the property of matching decisions on acceptance or rejection of investment projects with same life horizons and same scales and therefore maximize shareholder wealth. An insight is provided into the advantages of these investment project appraisal methods by comparing and contrasting them with traditional fuzzy methods. A comprehensive case study, based on an investment project on exploration of an oil field under both deterministic and fuzzy conditions, is included to illustrate the use of these methods. Due to the complexity of the calculations involved, new MS-Excel financial functions are developed, by using Visual Basic for Applications. The main contribution of this paper is the development of a unifying approach to Capital Budgeting under uncertainty that emphasizes the strengths of the modified methods, while bypassing the individual conflicts and drawbacks of the conventional Capital Budgeting methods. Results confirm that the proposed solution has many advantages over other Capital Budgeting methods.
Maruf Hasan - One of the best experts on this subject based on the ideXlab platform.
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Capital Budgeting Techniques Used by Small Manufacturing Companies
Journal of Service Science and Management, 2013Co-Authors: Maruf HasanAbstract:Small companies account for 40% of Australian jobs and yet most of the studies on Capital Budgeting techniques have been focused on large firms. A mistake in their Capital Budgeting process could lead to disastrous consequences as they do not have the financial clout to recover from them. The purpose of the paper is to investigate where small manufacturing companies in Australia stand in regard to the use of Capital Budgeting techniques and risk analysis. The research concludes that while there is an indication of usage of the Payback Period with Discounted Cash Flow (DCF) techniques, there is a need for more frequent usage of risk analysis as well as management sciences which is found lacking in the Capital Budgeting process of small companies.
Antonio Carlos De Souza Sampaio Filho - One of the best experts on this subject based on the ideXlab platform.
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A unified solution in fuzzy Capital Budgeting
Expert Systems with Applications, 2018Co-Authors: Antonio Carlos De Souza Sampaio Filho, Marley M. B. R. Vellasco, Ricardo TanscheitAbstract:Abstract Since the mid-1980s, both academics and practitioners have proposed and discussed various solutions in fuzzy Capital Budgeting. Based primarily on traditional Capital Budgeting methods, these solutions present the same problems as their respective deterministic methods: the implicit assumptions of the reinvestment rates; the possibility of multiple rates of return; and the possibility of anomalous behavior of the net present value method. This paper presents a unified solution in fuzzy Capital Budgeting based on modified deterministic methods proposed in the financial literature. This unified approach eliminates those problems and has the property of matching decisions on acceptance or rejection of investment projects with same life horizons and same scales and therefore maximize shareholder wealth. An insight is provided into the advantages of these investment project appraisal methods by comparing and contrasting them with traditional fuzzy methods. A comprehensive case study, based on an investment project on exploration of an oil field under both deterministic and fuzzy conditions, is included to illustrate the use of these methods. Due to the complexity of the calculations involved, new MS-Excel financial functions are developed, by using Visual Basic for Applications. The main contribution of this paper is the development of a unifying approach to Capital Budgeting under uncertainty that emphasizes the strengths of the modified methods, while bypassing the individual conflicts and drawbacks of the conventional Capital Budgeting methods. Results confirm that the proposed solution has many advantages over other Capital Budgeting methods.
