The Experts below are selected from a list of 54 Experts worldwide ranked by ideXlab platform
Wijst D. Van Der - One of the best experts on this subject based on the ideXlab platform.
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Vizualizing Interfirm Comparison
'Elsevier BV', 1994Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, we present a new way to visualize the results obtained with Interfirm Comparison. It will be shown how these results can be visualized even if the explanatory variable is explained by more than one firm characteristic. As a result, the new visualization method enables us to see at a single glance: which firm has the highest explanatory variable, what the expected value of the explanatory variable is given the firm's characteristics, what the corresponding values of its competitors are, and to what extent the different firm characteristics contribute to the firm's expected value of the explanatory variable. The method is illustrated by a numerical example concerning Dutch retail industries
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A new approach to firm evaluation
1993Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method, risk is represented as a vector of sensitivities to unexpected changes of risk factors. Subsequently, the sensitivities themselves are related to firm characteristics. In addition, an application of the method to Interfirm Comparison is presented. This application is illustrated by a numerical example based on estimates concerning real data. Apart from this application, some other possible future applications are mentioned. Finally, some decision support tools are presented which may enhance the usefulness of the method in practice
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A risk based approach to firm evaluation applied to Dutch industries
In this paper a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method risk is represen, 1992Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method, risk is represented as a vector of sensitivities for unexpected changes of risk factors. Subsequently, the sensitivities themselves are related to firm characteristics. In addition, an application of the method to Interfirm Comparison is presented. This applicaiton is illustrated by a numerical example based on estimates concerning real data. Apart from this application, some other possible future applications are mentioned. Finally, some decision support tools are presented which may enhance the usefulness of the method in practice
Wijst Nico - One of the best experts on this subject based on the ideXlab platform.
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Vizualizing Interfirm Comparison
1994Co-Authors: Vermeulen Erik, Spronk Jaap, Wijst NicoAbstract:textabstractIn this paper, we present a new way to visualize the results obtained with Interfirm Comparison. It will be shown how these results can be visualized even if the explanatory variable is explained by more than one firm characteristic. As a result, the new visualization method enables us to see at a single glance: which firm has the highest explanatory variable, what the expected value of the explanatory variable is given the firm's characteristics, what the corresponding values of its competitors are, and to what extent the different firm characteristics contribute to the firm's expected value of the explanatory variable. The method is illustrated by a numerical example concerning Dutch retail industries
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A risk based approach to firm evaluation applied to Dutch industries
Erasmus University Rotterdam, 1992Co-Authors: Vermeulen Erik, Spronk Jaap, Wijst NicoAbstract:textabstractIn this paper, a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method, risk is represented as a vector of sensitivities for unexpected changes of risk factors. Subsequently, the sensitivities themselves are related to firm characteristics. In addition, an application of the method to Interfirm Comparison is presented. This applicaiton is illustrated by a numerical example based on estimates concerning real data. Apart from this application, some other possible future applications are mentioned. Finally, some decision support tools are presented which may enhance the usefulness of the method in practice
Spronk J - One of the best experts on this subject based on the ideXlab platform.
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Vizualizing Interfirm Comparison
'Elsevier BV', 1994Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, we present a new way to visualize the results obtained with Interfirm Comparison. It will be shown how these results can be visualized even if the explanatory variable is explained by more than one firm characteristic. As a result, the new visualization method enables us to see at a single glance: which firm has the highest explanatory variable, what the expected value of the explanatory variable is given the firm's characteristics, what the corresponding values of its competitors are, and to what extent the different firm characteristics contribute to the firm's expected value of the explanatory variable. The method is illustrated by a numerical example concerning Dutch retail industries
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A new approach to firm evaluation
1993Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method, risk is represented as a vector of sensitivities to unexpected changes of risk factors. Subsequently, the sensitivities themselves are related to firm characteristics. In addition, an application of the method to Interfirm Comparison is presented. This application is illustrated by a numerical example based on estimates concerning real data. Apart from this application, some other possible future applications are mentioned. Finally, some decision support tools are presented which may enhance the usefulness of the method in practice
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A risk based approach to firm evaluation applied to Dutch industries
In this paper a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method risk is represen, 1992Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method, risk is represented as a vector of sensitivities for unexpected changes of risk factors. Subsequently, the sensitivities themselves are related to firm characteristics. In addition, an application of the method to Interfirm Comparison is presented. This applicaiton is illustrated by a numerical example based on estimates concerning real data. Apart from this application, some other possible future applications are mentioned. Finally, some decision support tools are presented which may enhance the usefulness of the method in practice
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Visualizing Interfirm Comparison
2026Co-Authors: Em Vermeulen, Spronk J, Van Der Wijst DAbstract:In this paper, we present a new way to visualize the results obtained with Interfirm Comparison. It will be shown how these results can be visualized even if the explanatory variable is explained by more than one firm characteristic. As a result, the new visualization method enables us to see at a single glance: which firm has the highest explanatory variable, what the expected value of the explanatory variable is given the firm's characteristics, what the corresponding values of its competitors are, and to what extent the different firm characteristics contribute to the firm's expected value of the explanatory variable. The method is illustrated by a numerical example concerning Dutch retail industries.Interfirm Comparisons industry analysis risk analysis linear models
Vermeulen E.m. - One of the best experts on this subject based on the ideXlab platform.
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Vizualizing Interfirm Comparison
'Elsevier BV', 1994Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, we present a new way to visualize the results obtained with Interfirm Comparison. It will be shown how these results can be visualized even if the explanatory variable is explained by more than one firm characteristic. As a result, the new visualization method enables us to see at a single glance: which firm has the highest explanatory variable, what the expected value of the explanatory variable is given the firm's characteristics, what the corresponding values of its competitors are, and to what extent the different firm characteristics contribute to the firm's expected value of the explanatory variable. The method is illustrated by a numerical example concerning Dutch retail industries
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A new approach to firm evaluation
1993Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method, risk is represented as a vector of sensitivities to unexpected changes of risk factors. Subsequently, the sensitivities themselves are related to firm characteristics. In addition, an application of the method to Interfirm Comparison is presented. This application is illustrated by a numerical example based on estimates concerning real data. Apart from this application, some other possible future applications are mentioned. Finally, some decision support tools are presented which may enhance the usefulness of the method in practice
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A risk based approach to firm evaluation applied to Dutch industries
In this paper a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method risk is represen, 1992Co-Authors: Vermeulen E.m., Spronk J, Wijst D. Van DerAbstract:In this paper, a method is developed to evaluate firms on the basis of the risks they face. In accordance with the multi-factor method, risk is represented as a vector of sensitivities for unexpected changes of risk factors. Subsequently, the sensitivities themselves are related to firm characteristics. In addition, an application of the method to Interfirm Comparison is presented. This applicaiton is illustrated by a numerical example based on estimates concerning real data. Apart from this application, some other possible future applications are mentioned. Finally, some decision support tools are presented which may enhance the usefulness of the method in practice
Van Der Wijst D - One of the best experts on this subject based on the ideXlab platform.
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Visualizing Interfirm Comparison
2026Co-Authors: Em Vermeulen, Spronk J, Van Der Wijst DAbstract:In this paper, we present a new way to visualize the results obtained with Interfirm Comparison. It will be shown how these results can be visualized even if the explanatory variable is explained by more than one firm characteristic. As a result, the new visualization method enables us to see at a single glance: which firm has the highest explanatory variable, what the expected value of the explanatory variable is given the firm's characteristics, what the corresponding values of its competitors are, and to what extent the different firm characteristics contribute to the firm's expected value of the explanatory variable. The method is illustrated by a numerical example concerning Dutch retail industries.Interfirm Comparisons industry analysis risk analysis linear models
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Modelling Interfirm Comparisons in small business
2026Co-Authors: Van Der Wijst DAbstract:This paper describes a method of Interfirm Comparison in small business that is not based on ratio analysis, but on the use of less restricted models. The method is aimed at removing a number of disadvantages of the usual, ratio based methods of Interfirm Comparison. Models are specified for all major items of the income statement and balance sheet. The specification is partly based on financial and other theory, but also on practical experience in small business. Together, these models enable a fairly detailed and complete assessment of small business performance. The use of the models for Interfirm Comparisons is illustrated with an example and their applicability and relation with bankruptcy prediction models are discussed.Interfirm Comparisons small business financial structure ratio analysis regression analysis