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)

39
    39
    Your Cart
    Joe Ross – Money Management Remove
    Joe Ross – Money Management
    1 X 1,494 = 1,494
    Tom Myers – Fascial Release Technique Remove
    Daye Quaterly Theory Remove
    Daye Quaterly Theory
    1 X 800 = 800
    John Gray – Secrets to Great Sex Remove
    John Locke – APM2 Program Remove
    John Locke – APM2 Program
    1 X 21,300 = 21,300
    TRADE LEGEND COURSE Remove
    TRADE LEGEND COURSE
    1 X 399 = 399
    BadBoy – Social Media Decoded Remove
    BadBoy – Social Media Decoded
    1 X 800 = 800
    Adina Rivers Mega Sex Bundle Remove
    Adina Rivers Mega Sex Bundle
    1 X 15,272 = 15,272
    The Complete 12 Week Transformation Course Remove
    The Complete 12 Week Transformation Course
    1 X 11,160 = 11,160
    Eric Thompson – Heartwave 2.0 Remove
    Eric Thompson – Heartwave 2.0
    1 X 5,644 = 5,644
    NICABM – Making First Sessions Great Remove
    Marcus Oakey – Charisma Installed Program Remove
    The Poor Man Gamma Scalp Remove
    The Poor Man Gamma Scalp
    1 X 14,760 = 14,760
    Flex EA Correlated Hedge V1.02 Remove
    Flex EA Correlated Hedge V1.02
    1 X 3,750 = 3,750
    Alpesh Patel – How To Invest Better Remove
    Alpesh Patel – How To Invest Better
    1 X 4,482 = 4,482
    Tim Oppelt – 1-Hour Deals Remove
    Tim Oppelt – 1-Hour Deals
    1 X 4,000 = 4,000
    Michael Jones – The Clickbank Code Remove