Sale!

Dakota Wixom – Become a Quantitative Analyst

Original price was: ₹74,100.Current price is: ₹8,300.

Category:

What is this Course About?
Wall Street needs more quants and data scientists.
Dakota Wixom – Become a Quantitative Analyst
This course will allow you to build the essential initial programming skills and tool belt of statistical techniques required for quantitative analysis.
First, we’ll teach you how to program with financial timeseries before diving deep into multivariate regressions using factor analysis to explain Berkshire Hathaway’s performance.
Next, we’ll examine the performance of 9 different hedge fund strategies and compare the risk and return characteristics of each type of fund.
Finally, we’ll construct our own fund strategy using quadratic optimization to track a benchmark on a rolling basis, and we’ll build our own backtesting engine in R to analyze our strategy.

Am I Ready for this Course?
Whether you’re a hedge fund manager or a business student, this course is for you if you’re looking to upgrade your game and begin investing intelligently.
We’ll provide you with commented source code, guided video tutorials and high quality animations to help you understand every line of code and concept.
Become a Quant.

Course Curriculum

Getting up to Speed with Financial Programming in R

Start
Getting Started With R

Start
R Financial Programming Bootcamp (1:05:29)

Analyzing Hedge Fund Strategy Performance

Start
Hedge Fund Strategy Indices | Downloading Data From Quandl (12:11)

Start
Beating the Market or Not | Analyzing Hedge Fund Performance (20:48)

Multivariate Rolling Regressions | How Does Warren Buffett Do It?

Start
Market Factors | Setting Up the Multivariate Rolling Regression (25:30)

Start
Warren Buffett vs. The Fama-French Factor Model (19:23)

Start
Analyzing Warren Buffett’s Sector Exposure (11:01)

 

Construct Your Own Index Fund Strategy and Backtesting Engine

Preview
FREE: Example Custom Index Strategy Reports

Start
Picking a Benchmark | Dynamically Downloading the Datasets (16:43)

Start
Quadratic Optimization | Building a Rolling Backtesting Engine (24:37)

Start
Visualizing the Results | Tracking New Benchmarks (23:55)

Start
Calculating Portfolio Turnover | Implementing a Transaction Cost Model (12:05)

38
    38
    Your Cart
    Christina Hall Language Intensive Remastered 2014 Remove
    Boss Project – The Follow Through Method Remove
    Jason Nemer – Handstand Training Remove
    Jason Nemer – Handstand Training
    1 X 9,960 = 9,960
    Stock Khazaana Course Remove
    Stock Khazaana Course
    1 X 399 = 399
    Chase Dimond – Master Campaign Calendar Guide Remove
    [Download] A1 Revenue – Crush Q4 (2021) Remove
    Seth Ellsworth – IAMONE Graduate Training Remove
    Chris Luck – Membership Method 2018 Remove
    Chris Luck – Membership Method 2018
    1 X 10,790 = 10,790
    Stock wale Bhaiyaa Course Remove
    Stock wale Bhaiyaa Course
    1 X 550 = 550
    Jose Rosado – 10 Year Shortcut (2022) Remove
    Carlos Condit – Combat Tested Striking Remove
    Mastering Myofascial Release – Garry Adkins Remove
    Fractal Flow – Volatility Trading Remove
    Fractal Flow – Volatility Trading
    1 X 5,600 = 5,600
    Luca Giusti – Easy Language Remove
    Luca Giusti – Easy Language
    1 X 11,454 = 11,454
    GOE Strategy By IITian Trader Remove
    GOE Strategy By IITian Trader
    1 X 269 = 269
    Avi Frister – Trading Non-Farm Payroll Report Remove
    Sarah Masci – Focused + Free 2022 Remove
    Sarah Masci – Focused + Free 2022
    1 X 29,382 = 29,382
    Linda Rauch – The Intuitive Tarot Academy Remove
    Digital Course Secrets 2019 – Kevin David Remove
    John Locke – Super Simple Spreads Remove