Johnathan Mun Libri

Course slides for Quantitative Financial Analysis

Case Studies in Certified Quantitative Risk Management (CQRM) with advanced analytics applications in Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimization, Data Analytics, Business Intelligence, and Decision Modeling. This is required reading material when taking the IIPER's globally-accredited CQRM certification program. Includes 22 case studies of industry applications.

The Applied CQRM Book Series showcases how the advanced ana-lytics covered in the Certified in Quantitative Risk Management (CQRM) certification program can be applied to real-life business problems. In Volume I, we show how Risk Simulator and ROV BizStats can be used to perform quantitative analysis in graduate and postgraduate research.Pragmatic applications are emphasized in order to demystify the many elements inherent in quantitative analysis. A statistical 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 applica-bility, that the approaches will receive widespread attention. This transparency is achieved through step-by-step applications of quan-titative 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 some-thing 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

Course slides to accompany the Quantitative Research Methods course book. Applying Econometrics, Multivariate Regression, Parametric and Nonparametric Hypothesis Testing, Monte Carlo Risk Simulation, Predictive Modeling and Forecasting, Optimization, Data Analytics, Business Intelligence, and Decision Modeling for Graduate, Doctoral, and Postgraduate Research using ROV BizStats and Risk Simulator software applications.