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2020-2021 Pre-Master Course

This self-paced pre-master course deals with basic econometrics, finance, and investment before students start their Master in Finance journey. Finance is a domain where economy meets mathematics. It does not only attract students with a business background, but also students who have strong quantitative skills. This course prepares business students with adequate quantitative skills, and engineering students to learn how to apply their quantitative skills to finance. The whole course is based on 45 hours of study material with a large test bank of hundreds of questions.


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General Information

  • Course Ends on 12/30/2021 11:00:00 PM [Time Zone: (UTC+01:00) Brussels, Copenhagen, Madrid, Paris] or 1 year since subscription, whichever is earlier.

Price Information

  • You can purchase a one-year license of this course at €500.00 (incl. VAT)

Session List

# Title Course Material
(Preview) 1
 Getting Started
(Preview) 2
 Business Day and Day Count Conventions
(Preview) 3
 Simple Interest Rate Calculations
4
Potential Problems with Simple Interest Rate Calculations
5
Compounding
6
Rule of 70
7
Present Value and Rate Determination
8
S01_08 Coping with higher compounding frequencies
9
S02_01 Higher Frequencies - Continuous Compounding
10
S02_02 Higher Frequencies - Problem Statement
11
S02_03 Solution and introduction to discount factors
12
S02_04 Discounting Multiple Cash Flows
13
S02_05 Introduction to Annuities
14
S02_06 Future Value of an Annuity
15
S02_07 Present Value of an Annuity
16
S02_08 Present Value of a Perpetuity
17
S03_01 Annuities Capita Selecta - IRR - Perpetuities - Annuities Due
18
S03_02 Growing Annuities and Perpetuities
19
S03_03 Delayed Annuities
20
S03_04 An Amortization Table
21
S03_05 Computing Returns - Introduction
22
S03_06 Computing Returns Single Period Returns
23
S03_07 Computing Returns - Portfolio Returns
24
S03_08 Computing Returns - Multiperiod Returns - Geometric vs arithmetic average
25
S03_09 Computing Returns - Time weighted and dollar weighted returns
26
S03_10 Computing Returns - Index Construction
27
S04_01 Introduction and a First Look at Global Return Data
28
S04_02 Modelling Random Variables
29
S04_03 Modelling Returns as Random Variables
30
S04_04 Frequency Distributions
31
S04_05 Descriptive Statistics - Quantiles
32
S04_06 Descriptive Statistics - Moments - The Mean
33
S04_07 Descriptive Statistics - Moments - Higher Moments
34
S05_01 Volatility
35
S05_02 Higher Central Moments
36
S05_03 Theoretical Distributions - Bernouili Distribution
37
S05_04 Theoretical Distributions - Binomial Distribution
38
S05_05 Theoretical Distributions - Continuous Distribution
39
S05_06 Theoretical Distributions - The Normal Distribution
40
S06_01 Theoretical Distributions - Solution Assignment
41
S06_02 Theoretical Distributions - The Lognormal Distribution
42
S06_03 Theoretical Distributions - Covariance Correlation and Independence
43
S06_04 Inductive Statistics
44
S06_05 Confidence Intervals
45
S06_06 Hypothesis Tests Part 1
46
S06_07 Hypothesis Tests Part 2
47
S07_01 St Petersburg Paradox
48
S07_02 Certainty Equivalent
49
S07_03 Mean Varianceb
50
S07_04 Optimal Portfolios
51
S07_05 Capital Allocation
52
S07_06 Capital Allocation Parameters
53
S07_07 Portfolio Selection
54
S08_01 Univariate Regression (Covariance and Correlation)
55
S08_02 Univariate Regression (Causality, Intro to Econometrics)
56
S08_03 Univariate Regression (Linear Regression - Intro)
57
S08_04 Univariate Regression (Linear Regression - Example)
58
S08_05 Univariate Regression (Linear Regression)
59
S09-01 Separation Theorem
60
S09-02 Factor Models
61
S09-03 Single Index Model
62
S09-04 Single Index Model and Portfolio Diversification
63
S09-05 Single Index Model - Beta and Alpha
64
S09-06 CAPM
65
S09-07 CAPM in Action
66
S10_Part 01 (Regression)
67
S10_Part 02 (Regression)
68
S10_Part 03 (Regression)
69
S10_Part 04 (Derivatives)
70
S10_Part 05 (Derivatives)
71
S10_Part 06 (Derivatives)
72
S10_Part 07 (Derivatives)
73
S11_Part 01
74
S11_Part 02
75
S11_Part 03
76
S11_Part 04
77
S11_Part 05
78
S11_Part 06
79
Additional Exercise 01
80
Additional Exercise 02
81
Additional Exercise 03
82
Additional Exercise 04
83
Additional Exercise 05
84
Additional Exercise 06
85
Additional Exercise 07
86
Additional Exercise 08
87
Additional Exercise 09
88
Additional Exercise 10
89
Additional Exercise 11
90
Additional Exercise 12