1st lesson free
Fabrice profile and its contact details have been verified by our team.
Fabrice
- Rate $100
- Response 1h
-
Students12
Number of students Fabrice has accompanied since arriving at Superprof
Number of students Fabrice has accompanied since arriving at Superprof
$100/h
Contact
1st lesson free
- Statistics
Statistics & Econometrics Help & Support with R Studio Gretl SPSS Stata and other softwares
- Statistics
Lesson location
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At Fabrice's house: Toronto
- online
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at home or in a public place : will travel up to 10 km from Toronto
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About Fabrice
MsC in Engineering with top marks and research assistant of Econometrics for Italian top University.
Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading.
Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science
I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl.
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About the lesson
- Elementary School
- Middle School
- High School
- +6
levels :
Elementary School
Middle School
High School
College
University
Adult Education
Masters/ Graduate School
MBA
Early childhood education
- English
All languages in which the lesson is available :
English
Technical Skills (application and often implementation from scratch):
1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity
2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution
3) Risk Management: P&L production & 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 Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment
4) Financial Mathematics: Longstaff-Schwartz, HJM 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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Rates
Rate
- $100
Pack rates
- 5 h: $500
- 10 h: $1000
online
- $100/h
free lessons
This first lesson offered with Fabrice will allow you to get to know each other and clearly specify your needs for your next lessons.
- 30min
Details
No Free Lessons
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