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+--- Thread: Cfa Level 1 2024 - Quantitative Methods (/Thread-Cfa-Level-1-2024-Quantitative-Methods)
Cfa Level 1 2024 - Quantitative Methods - OneDDL - 01-22-2024
![[Image: 14f7738baea4ce5d95ae9e77282414b6.jpeg]](https://i122.fastpic.org/big/2024/0122/b6/14f7738baea4ce5d95ae9e77282414b6.jpeg)
Free Download Cfa Level 1 2024 - Quantitative Methods
Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 559.74 MB | Duration: 1h 57m
Master Quantitative Methods with WSN CFA Level 1 Crash Course | Cover ALL learning outcome (LOS) with video lectures!
What you'll learn
Cover all learning outcome statements (LOS) in the CFA Level 1 Quantitative Methods study session
Interpret interest rates and explain their composition
Calculate ways to measure returns and their uses
Money weighted and time weighted returns
Annualized returns and continuously compounded returns
Calculate ways to measure returns and their uses
Present value of fixed income and equity instruments
Implied return of fixed income and equity instruments
Adding cash flows and preventing arbitrage with interest rates and exchange rates
Measures of central tendency and location
Measures of dispersion
Measures of skewness and kurtosis
Interpreting correlation
Expected values, variances, and standard deviations
Probability trees and conditional probabilities
Baye's formula (Baye's Theorem)
Portfolio expected value, variance, standard deviation, covariance and correlation
Portfolio covariance and correlation using probabilities
Shortfall risk and the safety first ratio
Lognormal distributions and continuously compounded returns
Monte Carlo simulation
Bootstrap resampling
Types of sampling and their implications
Central limit theorem
Resampling methods
Hypothesis testing and errors
Constructing hypothesis tests
Parametric and non parametric tests
Parametric tests, non parametric tests, and correlation tests
Contingency tables and tests of independence
Introduction to linear regression, criteria, and coefficients
Linear regression assumptions
Measures and tests of fit
Using an ANOVA table and interpreting the standard error
Calculating the predicted value of a dependent variable and an interval for it
Functional forms of simple linear regressions
Fintech and financial data
Big data, artificial intelligence, machine learning
Big data and data science applications
Requirements
CFA Institute approved calculator, such as TI BA II Plus
Description
Dream of passing the CFA?Wall Street Notes brings the newest Level 1 Crash Course to fast-track your way to CFA success in 2024!It's no secret that the CFA is very difficult to pass, but what better way to study than with a method crafted by those who already passed the test?At Wall Street Notes, all Level 1 crash courses are created by subject experts who passed the CFA above the 90th percentile on their first try! Our goal is simple, we wanted to create a complemental study tool to help candidates:#1 Understand faster than everyone else, while still covering every single learning outcome (LOS) in the books.#2 Save valuable study time.#3 Be able to review and remember everything on exam day.Here is how we do exactly that:1) To help you Understand, Wall Street Notes took the entire curriculum and transformed it into simple animated videos that help you visualize the textbook quickly. And unlike other courses, it explains every single learning outcome so you can be sure there are no gaps in your knowledge.2) To help you save time, Wall Street Notes covers the average learning module in 10 minutes, and the average topic in about an hour, which is 4 times faster than any other video provider.3) To help you remember everything for exam day, Wall street notes allows you to review from anywhere at any time so that you can use snippets of free time to keep the material fresh in your mind.It's all about working smarter, not harder! Let's take your strategy to the next level.NEED MORE CONTENT?This course is the 1st of a 10-course series that covers the entire CFA Level 1 curriculum. Check out the entire Wall Street Notes course library by clicking on our instructor profile logo!Required Disclaimer: CFA Institute does not endorse, promote, or warrant the accuracy or quality of the products or services offered by Wall Street Notes. CFA Institute, CFA, and Chartered Financial Analyst are trademarks owned by CFA Institute.
Overview
Section 1: Introduction
Section 2: Learning Module 1: Rates and Returns
Lecture 1 QM1: a,b
Lecture 2 QM1: c
Lecture 3 QM1: d,e
Section 3: Learning Module 2: Time Value of Money In Finance
Lecture 4 QM2: a
Lecture 5 QM2: b,c
Section 4: Learning Module 3: Statistical Measures of Asset Returns
Lecture 6 QM3: a,b
Lecture 7 QM3: c,d
Section 5: Learning Module 4: Probability Trees and Conditional Expectations
Lecture 8 QM4: a
Lecture 9 QM4: b,c
Section 6: Learning Module 5: Portfolio Mathematics
Lecture 10 QM5: a,b,c
Section 7: Learning Module 6: Simulation Methods
Lecture 11 QM6: a,b,c
Section 8: Learning Module 7: Estimation and Inference
Lecture 12 QM7: a,b
Lecture 13 QM7: c
Section 9: LM 8&9: Hypothesis Testing, Parametric and Non-Parametric Tests of Independence
Lecture 14 QM8-9: a
Lecture 15 QM8-9: b
Lecture 16 QM8-9: c
Section 10: Learning Module 10: Simple Linear Regression
Lecture 17 QM10: a,b
Lecture 18 QM10: c,d
Lecture 19 QM10: e,f
Section 11: Learning Module 11: Introduction to Big Data Techniques
Lecture 20 QM11: a,b,c
Lecture 21 Bonus Content!
CFA Level 1 Candidates,Students interested in the CFA designation,Finance professionals,Finance students
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