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Quantitative Methods

Lessons

01

CFA L2: Quantitative Methods - Introduction

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02

Quants: Correlation Analysis

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03

Quants: Single Variable Linear Regression Analysis

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04

Standard Error of the Estimate or SEE

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05

Confidence Intervals (CI) for Dependent Variable Prediction

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06

Coefficient of Determination (R-Squared)

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07

Analysis of Variance or ANOVA

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08

Multiple Regression Analysis

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09

Multiple Regression and Coefficient of Determination (R-Squared)

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10

Fcalc – the Global Test for Regression Significance

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11

Regression Analysis and Assumption Violations

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12

Qualitative and Dummy Variables in Regression Modeling

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13

Time Series Analysis: Simple and Log-linear Trend Models

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14

Auto-Regressive (AR) Time Series Models

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15

Auto-Regressive Models - Random Walks and Unit Roots

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16

ARMA Models and ARCH Testing

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17

How to Select the Most Appropriate Time Series Model?

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