By Johnathan Mun
ISBN-10: 047125696X
ISBN-13: 9780471256960
An up-to-date consultant to threat research and modeling
Although hazard used to be visible as anything that was once either unpredictable and uncontrollable, the evolution of danger research instruments and theories has replaced the way in which we glance at this crucial company aspect. within the Second Edition of Analyzing and Modeling Risk, specialist Dr. Johnathan Mun offers up to date assurance of hazard research because it is utilized in the nation-states of industrial hazard research and provides an intuitive consider of what possibility seems like, in addition to different methods of quantifying it.
This Second Edition offers pros in all industries a extra entire consultant on such key innovations as hazard and go back, the basics of version development, Monte Carlo simulation, forecasting, time-series and regression research, optimization, genuine suggestions, and more.
- Includes new examples, questions, and workouts in addition to updates utilizing Excel 2007
- Book supported by means of author's proprietary threat research software program came upon at the better half CD-ROM
- Offers either a qualitative and quantitative description of risk
Filled with in-depth insights and functional recommendation, this trustworthy source covers the entire crucial instruments and methods that hazard managers have to effectively behavior probability analysis.
Note: CD-ROM/DVD and different supplementary fabrics will not be incorporated as a part of publication file.
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Additional resources for Real options analysis : applying real options with Monte Carlo simulation and portfolio optimization
Sample text
At that time a second phase can be implemented through smaller satellite reservoirs in the surrounding areas that are available for drilling but are separated from the primary reservoir by geological faults. This second stage is also an expansion option on the first; when the price of oil increases, the firm is then able to set up new rigs over the satellite reservoirs, drill, and complete these wells. Then, using the latest technology in subsurface robotics, the secondary wells can be tied back into the primary platform, thereby increasing and expanding the productivity of the primary well by some expansion factor.
Our first response was to acquire books on the subject of Monte Carlo simulation. The financial department was familiar with the model but was not prepared to assist with implementation of it in the product development environment. After some time and frustration, the Crystal Ball ® software product for Monte Carlo simulation at a company named Decisioneering, Inc. was discovered. The timing was excellent, since the corporation was reviewing a high-profile project that contained hidden ranges of risk.
Lower barriers to entry and significant threat of new entrants and substitution effects characterize these strategies. 22 THEORY Even using fairly well-known models like the discounted cash flow analysis is insufficient to value these types of firms. For instance, as a potential venture capitalist, how do you go about identifying the intangibles and intellectual property created when traditional financial theory is insufficient to justify or warrant such outrageous price-to-earnings multiples? Trying to get on the bandwagon in initial public offerings with large capital gains is always a good investment strategy, but randomly investing in start-ups with little to no fundamental justification of potential future profitability is a whole other issue.
Real options analysis : applying real options with Monte Carlo simulation and portfolio optimization by Johnathan Mun
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