Mattia - Economics tutor - Toronto
1st lesson free
Mattia - Economics tutor - Toronto

Mattia profile and its contact details have been verified by our experts

Mattia

  • Rate R1159
  • Response 1h
  • Students

    Number of students Mattia has accompanied since joining Superprof

    5

    Number of students Mattia has accompanied since joining Superprof

Mattia - Economics tutor - Toronto

R1159/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Economics
  • Macroeconomics
  • Financial management
  • Econometrics
  • Business Analysis
  • Risk management

R SPSS Eviews Stata Gretl Econometrics Private Lessons for Master Thesis (via Skype)

  • Economics
  • Macroeconomics
  • Financial management
  • Econometrics
  • Business Analysis
  • Risk management

Lesson location

About Mattia

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. Covering university courses all around Europe: Italy, United Kingdom, France, Germany, Spain, Portugal,...

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +4
  • levels :

    Primary

    Secondary

    Matric/GCSE

    BTech

    Adult education

    Masters

    MBA

  • English

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

  • R1159

Package rates

  • 5h: R5795
  • 10h: R11590

online

  • R1159/h

free lesson

The free first lesson with Mattia allows you to get to know the tutor and discuss your needs and expectations.

  • 1h

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