Fabrice - Econometrics teacher - Toronto
1st class free
Fabrice - Econometrics teacher - Toronto

Fabrice profile and their contact details have been verified by our experts

Fabrice

  • Rate ₹6,353
  • Response 1h
  • Students

    Number of students accompanied by Fabrice since their arrival at Superprof

    12

    Number of students accompanied by Fabrice since their arrival at Superprof

Fabrice - Econometrics teacher - Toronto

₹6,353/hr

1st class free

Contact

1st class free

1st class free

  • Econometrics

Master thesis and assignments support in statistics, econometrics, risk management, data analysis

  • Econometrics

Class location

About Fabrice

Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (ie Logit), Time series models (AR / MA, ARCH / GARCH), Vector AutoRegressive Model (VAR), Cointegration -Granger, VECM), Long-Memory Process (Fractional Integration), Hamilton Filter, Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Mid-High Frequency Trading: Stat Arb & Pairs Trading Models, Order Imbalance & Order Replenishment Effects on Intraday Returns, Optimal Setup of Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non-equally spaced data, Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Haya 3) Risk Management: The Future of the Future, and the Future of the Future, P & L production and analysis for energy trading, VaR & profit at risk for energy trading, Merton approach for Credit VaR with / without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Financial Mathematics: Longstaff-Schwartz, HMS model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

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About the class

  • Classes 1 to 5
  • Classes 6 to 8
  • Class 10
  • +6
  • levels :

    Classes 1 to 5

    Classes 6 to 8

    Class 10

    BTech

    Class 11

    Adult Literacy

    Masters

    MBA

    Kindergarten (LKG, UKG)

  • English

All languages in which the class is available :

English

MsC in Engineering with top marks and research assistant of Econometrics for the Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Static, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regression to All Statistical Applications), Risk Management, Mathematics, Computer Science assignments, exams, presentations, advanced research, dissertations, major programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl

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Rates

Rate

  • ₹6,353

Pack prices

  • 5h: ₹31,767
  • 10h: ₹63,534

online

  • ₹6,353/hr

free classes

This first free class with Fabrice will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.

  • 1hr

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