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Applied Analytics - Probability Distribution: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimiza - Paperback

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by Johnathan Mun (Author)

The Applied CQRM Book Series showcases how the advanced analytics covered in the Certified in Quantitative Risk Management (CQRM) certification program can be applied in real-life business problems. In Volume II, we show how Risk Simulator can be used to generate various probability distributions as well as how to interpret the results and use their analytical properties for making strategic decisions.Pragmatic applications are emphasized in order to demystify the many elements inherent in probability analysis. A black box will remain a black box if no one can understand the concepts despite its power and applicability. It is only when the black box methods become transparent, so that researchers can understand, apply, and convince others of their results, value-add, and applicability, that the approaches will receive widespread attention. This transparency is achieved through step-by-step applications of quantitative modeling as well as presenting multiple cases and discussing real-life applications. This book is targeted at those individuals who have completed the CQRM certification program but can also be used by anyone familiar with basic quantitative research methods--there is something for everyone. It is also applicable for use as a second-year MBA/MS-level or introductory PhD textbook. The examples in the book assume some prior knowledge of the subject matter. Additional information on the CQRM program can be obtained at: www.iiper.org www.realoptionsvaluation.com

Number of Pages: 158
Dimensions: 0.34 x 9.02 x 5.98 IN
Publication Date: January 01, 2020
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by Johnathan Mun (Author)

The Applied CQRM Book Series showcases how the advanced analytics covered in the Certified in Quantitative Risk Management (CQRM) certification program can be applied in real-life business problems. In Volume II, we show how Risk Simulator can be used to generate various probability distributions as well as how to interpret the results and use their analytical properties for making strategic decisions.Pragmatic applications are emphasized in order to demystify the many elements inherent in probability analysis. A black box will remain a black box if no one can understand the concepts despite its power and applicability. It is only when the black box methods become transparent, so that researchers can understand, apply, and convince others of their results, value-add, and applicability, that the approaches will receive widespread attention. This transparency is achieved through step-by-step applications of quantitative modeling as well as presenting multiple cases and discussing real-life applications. This book is targeted at those individuals who have completed the CQRM certification program but can also be used by anyone familiar with basic quantitative research methods--there is something for everyone. It is also applicable for use as a second-year MBA/MS-level or introductory PhD textbook. The examples in the book assume some prior knowledge of the subject matter. Additional information on the CQRM program can be obtained at: www.iiper.org www.realoptionsvaluation.com

Number of Pages: 158
Dimensions: 0.34 x 9.02 x 5.98 IN
Publication Date: January 01, 2020

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Applied Analytics - Probability Distribution: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimiza - Paperback

Applied Analytics - Probability Distribution: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimiza - Paperback

$28.60
Applied Analytics - Probability Distribution: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimiza - Paperback

Applied Analytics - Probability Distribution: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimiza - Paperback

$28.60
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