Zobrazeno 1 - 10
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pro vyhledávání: '"Jeffrey L. Ringuest"'
Autor:
Jeffrey L. Ringuest, Samuel B. Graves
Publikováno v:
Managerial and Decision Economics. 39:592-600
We examine the effects of overconfidence in venture capital investing. Overconfidence in financial decision making is a robust, well†established finding, and its consequences for decisions by equity market investors, startup entrepreneurs, and C
Overconfidence and Disappointment in Decision-making under Risk: The Triumph of Hope over Experience
Autor:
Jeffrey L. Ringuest, Samuel B. Graves
Publikováno v:
Managerial and Decision Economics. 38:409-422
Overconfidence in economic decision-making is a well-established phenomenon; however, assessment of its scale and impact are largely absent from the literature. This paper uses Bell's disappointment metric to quantify its impact on individual decisio
Autor:
Jeffrey L. Ringuest, Samuel B. Graves
Publikováno v:
Managerial and Decision Economics. 33:453-462
Evidence strongly indicates that human decision makers discount the future using a hyperbolic function instead of following an exponential, which has been the long-standing assumption. We compare the exponential and hyperbolic models in evaluation of
Autor:
Jeffrey L. Ringuest, Samuel B. Graves
Publikováno v:
Omega. 37:346-357
This paper is a tutorial which demonstrates the current state-of-the-art methods for incorporating risk into project selection decision making. The projects under consideration might be R&D, IT, or other capital expenditure programs. We will show six
Publikováno v:
European Journal of Operational Research. 179:869-894
In the project selection problem a decision maker is required to allocate limited resources among an available set of competing projects. These projects could arise, although not exclusively, in an R&D, information technology or capital budgeting con
Autor:
Jeffrey L. Ringuest, Samuel B. Graves
Publikováno v:
Research-Technology Management. 48:42-47
Publikováno v:
European Journal of Operational Research. 154:157-169
To date no single model has been published which fully satisfies the needs for a practical R&D project selection technique. Some earlier models cannot handle risk well, while others do not provide efficient portfolios. This paper will present a model
Publikováno v:
Decision Support Systems. 33:363-374
Many business decisions can be modeled as multiobjective linear programming (MOLP) problems. MOLP algorithms seek solutions to these problems by interacting with decision makers to arrive at an acceptable solution. However, due in part to the increas
Autor:
Jeffrey L. Ringuest, Samuel B. Graves
Publikováno v:
European Journal of Operational Research. 126:651-661
Chapters 4 and 6 presented methods for incorporating risk in the project selection optimization problem. This chapter presents a method for generating nondominated solutions for stochastic multiobjective mathematical programming problems that is appl
Publikováno v:
Research-Technology Management. 43:47-51
Here's a simple, yet rigorous, method for generating portfolios that minimize risk for a given level of return. OVERVIEW: RD others have strong theoretical grounding but are difficult to implement. Some may rely upon unreasonably strong assumptions a