Comprehensive Sensitivity Analysis of Risk for Businesses

This practical book presents the Sensitivity Analysis in Risk Assessment & Management for experienced risk managers, risk analysts, financial risk managers, and the relating subject's degree students. The book offers stochastic models: to optimise project portfolio considering the projects' capital budgeting with financial statements in Portfolio Management; to estimate the costs of a new project in Project Management; to generically assess costs considering multiple possible events throughout the year in Financial Risk Management; to predict costs for the coming year using historical data for seven years in Mining Industry; to forecast the production and economic fundamentals in Petroleum Industry; to predict events and associated operational risk in Manufacturing. The Sensitivity Analysis provides for essential improvements. In conclusion, Bernstein stated, "the risk will always be there, so we must explore many interesting tools that can help us to control risks we cannot avoid taking" (Bernstein and Damodaran 1998). The method presented in this book is one such tool.

Autorentext

The author has a Computer Science degree from the University of Zagreb and backgrounds in Information Systems Analysis & Design, Mathematics, Operations Research, Modelling & Simulation, and Risk & Decision Analysis. He published papers on eminent international conferences and journals, as well as five books on Risk Management across fields.

Klappentext

This practical book presents the Sensitivity Analysis in Risk Assessment & Management for experienced risk managers, risk analysts, financial risk managers, and the relating subject's degree students. The book offers stochastic models: to optimise project portfolio considering the projects' capital budgeting with financial statements in Portfolio Management; to estimate the costs of a new project in Project Management; to generically assess costs considering multiple possible events throughout the year in Financial Risk Management; to predict costs for the coming year using historical data for seven years in Mining Industry; to forecast the production and economic fundamentals in Petroleum Industry; to predict events and associated operational risk in Manufacturing. The Sensitivity Analysis provides for essential improvements. In conclusion, Bernstein stated, "the risk will always be there, so we must explore many interesting tools that can help us to control risks we cannot avoid taking" (Bernstein and Damodaran 1998). The method presented in this book is one such tool.