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Vladimir Visipkov has completed

Applied Finance

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19hrs
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Loved by learners at thousands of companies

1
Quantitative Risk Management in R

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

5 hr

Alexander J. McNeil Headshot

Alexander J. McNeil

Professor of Actuarial Science at the University of York.

2
Equity Valuation in R

Learn the fundamentals of valuing stocks.

4 hr

Clifford Ang Headshot

Clifford Ang

Vice President at Compass Lexecon

3
Bond Valuation and Analysis in R

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

4 hr

Clifford Ang Headshot

Clifford Ang

Vice President at Compass Lexecon

4
Financial Trading in R

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

5 hr

Ilya Kipnis Headshot

Ilya Kipnis

Professional Quantitative Analyst and R programmer

5
Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

4 hr

Lore Dirick Headshot

Lore Dirick

Director of Data Science Education at Flatiron School

6
GARCH Models in R

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

4 hr

Kris Boudt Headshot

Kris Boudt

Professor of Finance and Econometrics at VUB and VUA

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Instructors

  • Alexander J. McNeil Headshot
    Alexander J. McNeilProfessor of Actuarial Science at the University of York.
  • Clifford Ang Headshot
    Clifford AngVice President at Compass Lexecon
  • Ilya Kipnis Headshot
    Ilya KipnisProfessional Quantitative Analyst and R programmer
  • Lore Dirick Headshot
    Lore DirickDirector of Data Science Education at Flatiron School

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