Fabrice - Econometrics tutor - Toronto
1st lesson belanja
Fabrice - Econometrics tutor - Toronto

Fabrice's profile, qualifications and contact details have been verified by our experts

Fabrice

  • Rate RM302
  • 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 tutor - Toronto

RM302/h

1st lesson belanja

Contact

1st lesson belanja

1st lesson belanja

  • Econometrics

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

  • Econometrics

Lesson 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 lesson

  • Primary
  • Secondary
  • SPM
  • +2
  • levels :

    Primary

    Secondary

    SPM

    Adult education

    Masters

  • English

All languages in which the lesson 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

  • RM302

Pack rates

  • 5h: RM1512
  • 10h: RM3024

online

  • RM302/h

free lessons

This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.

  • 1hr

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