Modeling Risk : Applying Monte Carlo Simulation, Real Options Analysis, Forecasting, and Optimization Techniques


Johnathan. Mun
Bok Engelsk 2006 · Electronic books.
Utgitt
Hoboken : : Wiley, , 2006.
Omfang
1 online resource (626 p.)
Opplysninger
Description based upon print version of record.. - Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Forecasting, and Optimization Techniques; Preface; Acknowledgments; About the Author; Contents; Introduction; PART ONE-RISK IDENTIFICATION; PART TWO-RISK EVALUATION; PART THREE-RISK QUANTIFICATION; PART FOUR-INDUSTRY APPLICATIONS; PART FIVE-RISK PREDICTION; PART SIX-RISK DIVERSIFICATION; PART SEVEN-RISK MITIGATION; PART EIGHT-MORE INDUSTRY APPLICATIONS; PART NINE-RISK MANAGEMENT; ADDITIONAL MATERIAL; Part I: Risk Identification; A BRIEF HISTORY OF RISK: WHAT EXACTLY IS RISK?; Chapter 1: Moving Beyond Uncertainty. - APPENDIX-UNDERSTANDING PROBABILITY DISTRIBUTIONSQUESTIONS; Chapter 6: Pandora's Toolbox; TORNADO AND SENSITIVITY TOOLS IN SIMULATION; SENSITIVITY ANALYSIS; DISTRIBUTIONAL FITTING: SINGLE VARIABLE AND MULTIPLE VARIABLES; BOOTSTRAP SIMULATION; HYPOTHESIS TESTING; DATA EXTRACTION, SAVING SIMULATION RESULTS, AND GENERATING REPORTS; CUSTOM MACROS; APPENDIX-GOODNESS-OF-FIT TESTS; QUESTIONS; Part IV: Industry Applications. - Chapter 7: Extended Business Cases I: Pharmaceutical and Biotech Negotiations, Oil and Gas Exploration, Financial Planning with Simulation, Hospital Risk Management, and Risk-Based Executive Compensation ValuationCASE STUDY: PHARMACEUTICAL AND BIOTECH DEAL STRUCTURING; CASE STUDY: OIL AND GAS EXPLORATION AND PRODUCTION; CASE STUDY: FINANCIAL PLANNING WITH SIMULATION; CASE STUDY: HOSPITAL RISK MANAGEMENT; CASE STUDY: RISK-BASED EXECUTIVE COMPENSATION VALUATION; Part V: Risk Prediction; Chapter 8: Tomorrow's Forecast Today; DIFFERENT TYPES OF FORECASTING TECHNIQUES. - RUNNING THE FORECASTING TOOL IN RISK SIMULATOR. - TRACK THE MODELAUTOMATE THE MODEL WITH VBA; MODEL AESTHETICS AND CONDITIONAL FORMATTING; APPENDIX-A PRIMER ON VBA MODELING AND WRITING MACROS; EXERCISES; Part III: Risk Quantification; Chapter 4: On the Shores of Monaco; WHAT IS MONTE CARLO SIMULATION?; WHY ARE SIMULATIONS IMPORTANT?; COMPARING SIMULATION WITH TRADITIONAL ANALYSES; USING RISK SIMULATOR AND EXCEL TO PERFORM SIMULATIONS; QUESTIONS; Chapter 5: Test Driving Risk Simulator; GETTING STARTED WITH RISK SIMULATOR; RUNNING A MONTE CARLO SIMULATION; USING FORECAST CHARTS AND CONFIDENCE INTERVALS; CORRELATIONS AND PRECISION CONTROL. - UNCERTAINTY VERSUS RISKWHY IS RISK IMPORTANT IN MAKING DECISIONS?; DEALING WITH RISK THE OLD-FASHIONED WAY; THE LOOK AND FEEL OF RISK AND UNCERTAINTY; INTEGRATED RISK ANALYSIS FRAMEWORK; QUESTIONS; Part II: Risk Evaluation; Chapter 2: From Risk to Riches; TAMING THE BEAST; THE BASICS OF RISK; THE NATURE OF RISK AND RETURN; THE STATISTICS OF RISK; THE MEASUREMENTS OF RISK; APPENDIX-COMPUTING RISK; QUESTIONS; Chapter 3: A Guide to Model-Building Etiquette; DOCUMENT THE MODEL; SEPARATE INPUTS, CALCULATIONS, AND RESULTS; PROTECT THE MODELS; MAKE THE MODEL USER-FRIENDLY: DATA VALIDATION AND ALERTS. - This completely revised and updated edition of Applied Risk Analysis includes new case studies in modeling risk and uncertainty as well as a new risk analysis CD-ROM prepared by Dr. Mun. On the CD-ROM you'll find his Risk Simulator and Real Options Super Lattice Solver software as well as many useful spreadsheet models. ""Johnathan Mun's book is a sparkling jewel in my finance library. Mun demonstrates a deep understanding of the underlying mathematical theory in his ability to reduce complex concepts to lucid explanations and applications. For this reason, he's my favorite writer in
Emner
Sjanger
Dewey
ISBN
0471789003. - 9780471789000

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