Contents
WHY USE A DATA-DRIVEN APPROACH?
Part I: Principles of Risk Management
Chapter 1: Foundations of Risk Management
A BRIEF HISTORY OF THE LEGISLATION
DEFINING RISK AND RISK MANAGEMENT
Chapter 2: Five Steps in the Risk Management Process
STEP FIVE: MONITORING YOUR RISK PROGRAM
Part II: Managing and Measuring Risk
Chapter 3: Predictive Analytics Using Quantitative Analysis
WHAT IS QUANTITATIVE ANALYSIS?
Chapter 4: Statistical Edge and Its Impact on Risk
REDUCING VARIABILITY IN EMPIRICAL PROBABILITY
PROBABLE EDGE VS. POSSIBLE EDGE
CHALLENGES WITH CONFIRMATION BIAS
LEVERAGING EDGE USING CONFLUENCE
Chapter 5: Embracing a Culture of Analytics
RISK MANAGEMENT RULES FOR THE TRADER
BASIC PRINCIPLES OF MEASURING DATA
PERFORMANCE MANAGEMENT: WHAT IS THE DATA TELLING ME?
MEASURING SUCCESS THROUGH A KPI
TRADE REVIEW AND REPORTING ETHICS
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