Section 1 : Introduction

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 2 About Certification Pdf

Section 2 : Time Value of Money

Lecture 3 Feel free to skip ahead Text
Lecture 4 Understanding Interest Rates 6:2
Lecture 5 Future Value of a Single Cash Flow 10:23
Lecture 6 Present Value of a Single Cash Flow 6:2
Lecture 7 About Proctor Testing Pdf
Lecture 8 Set Up Your CFA Exam Calculator for Maximum Efficiency Text
Lecture 9 Series of Cash Flows 9:48
Lecture 10 Annuities 10:42
Lecture 11 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf

Section 3 : Discounted Cash Flow (2019)

Lecture 12 Discounted Cash Flow has been removed from 2020 Exam onwards Text
Lecture 13 NPV and IRR 18:41
Lecture 14 Portfolio Return Measurement 12:56
Lecture 15 Money Market Yields 12:27
Lecture 16 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf

Section 4 : Statistical Concepts and Market Returns (2021)

Lecture 17 Statistics Fundamentals 8:40
Lecture 18 Measures of Central Tendency
Lecture 19 Measures of Dispersion 12:48
Lecture 20 Skewness and Kurtosis in Returns Distributions
Lecture 21 About Certification Pdf

Section 5 : Organising, Visualising and Describing Data (2022)

Lecture 22 Data Types and Data Organisation 6:5
Lecture 23 Summarising and Visualising Data 15:27
Lecture 24 Measures of Central Tendency 20:24
Lecture 25 Measures of Dispersion 15:41
Lecture 26 Skewness and Kurtosis in Returns Distributions 6:37
Lecture 27 Covariance and Correlation 5:58

Section 6 : Probability Concepts

Lecture 28 Definitions in Probability Concepts 5:28
Lecture 29 Joint Probability and Total Probability Rule 12:29
Lecture 30 Expected Values and Variance 6:39
Lecture 31 Portfolio Return and Variance, Covariance and Correlation 16:29
Lecture 32 Bayes' Formula 7:10
Lecture 33 Principles of Counting 6:19
Lecture 34 About Certification Pdf

Section 7 : Common Probability Distributions

Lecture 35 Discrete Random Variables 14:22
Lecture 36 Continuous Random Variables & Monte Carlo Simulation 20:25
Lecture 37 Monte Carlo Simulation
Lecture 38 About Proctor Testing Pdf

Section 8 : Sampling and Estimation

Lecture 39 Sampling and Central Limit Theorem 8:52
Lecture 40 Point and Interval Estimates 17:18
Lecture 41 Biases in Sampling 3:21
Lecture 42 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf

Section 9 : Hypothesis Testing

Lecture 43 Hypothesis Testing Procedure 14:48
Lecture 44 Hypothesis Tests Concerning the Mean 16:20
Lecture 45 Hypothesis Tests Concerning Variance
Lecture 46 Hypothesis Tests Concerning Correlation (New for 2020_2021) 4:6
Lecture 47 About Certification Pdf

Section 10 : Technical Analysis

Lecture 48 Technical Analysis has been shifted to Portfolio Management section Text
Lecture 49 Charts and Chart Patterns 17:57
Lecture 50 Technical Indicators
Lecture 51 Cycles and Intermarket Analysis 5:30
Lecture 52 About Proctor Testing Pdf

Section 11 : Introduction to Linear Regression (2022)

Lecture 53 Simple Linear Regression (2022) 10:8
Lecture 54 Measures of Goodness-of-Fit (2022) 13:13
Lecture 55 Hypothesis Tests on Slope Coefficient (2022) 12:21
Lecture 56 Functional Forms for Simple Linear Regression (2022) 7:35