Statistics lessons in Manchester

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1 statistics teacher in Manchester

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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,... 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
Statistics · Finance · Financial markets
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To ensure the quality of our Statistics teachers, we ask our students from Manchester to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.5 out of 5 based on 35 reviews.

Math course, statistics, probabilities, algebras, analysis (Mons)
Simon est un professeur très pédagogue et patient. Il cerne très rapidement la "source" de l'incompréhension et réexplique avec une méthodologie assez simplifiée des principes théoriques relativement complexes. J'ai recouru à ses services pour mieux comprendre la matière des probabilités / statistiques de niveau Master. Du fait de son expérience avec les élèves du secondaire, il parvient à proposer un véritable suivi sur base de "devoirs" et de "leçons", très pratique pour les élèves ayant tendance à procrastiner.
Review by ANAH
Private lessons in Accounting-Finance-Statistics-Algebra (Ixelles-Elsene)
Le fait d'avoir eu des cours intensifs avec Roland m'a permis d'avoir une compréhension en "Financial Accounting" que je ne maîtrisais pas auparavant. Ses explications simples et pédagogiques, ainsi que ses exemples étaient d'une très grande utilité. Je remercie Roland de m'avoir aidée à mieux comprendre une matière dans laquelle je ne me sentais pas a l'aise.
Review by MARIANNE
Math / Statistics, Master graduate from EPFL & TUM (Lausanne)
Mila m'a aidé à comprendre des notions qui me semblaient difficiles grâce à des explications simples et des exemples faits en directs. Nous avons parcourus ensemble divers exercices ce qui m'a permis de voir avec elle où se situaient mes lacunes.