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80 private teachers in Oslo

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80 private teachers in Oslo

Lola - Oslo40€
40€English and Spanish classes for all ages and levels, as well as preparation for official exams (Cambridge and Trinity)
Trusted teacher: Hi, My name is Lola and I offer individual and personalized Spanish and English classes for all ages and levels. I usually teach classes online, since it is usually easier when it comes to sending the necessary material, doing exercises and online games, but I am flexible and can adapt to the method that best suits each student, that is, I can do face-to-face classes if the student allows him to learn in a more comfortable and faster way. I have been teaching both Spanish and English in different schools in countries such as Slovenia, London and Spain, as well as individualized classes in Ireland and this past year, due to the situation we are going through, I started teaching online classes, being very successful, since the students are quite happy with the way they are taught, the shared material and the results obtained. That is why I decided to continue with this learning path, for those who find it more comfortable to teach from home, if they have little time for other activities. I am also a preparer for official English exams such as Cambridge (A1-C1) and Trinity (A1-B2), as well as I usually do several drills throughout the course to see the progression and improve those aspects that seem more difficult or cost more internalize. In my classes I always mix grammar with games (whether online or spoken) in order to reinforce and internalize it better. In addition, I send homework weekly or as requested by the student (if this is an adult) to enhance learning and not forget what has been learned.
English · Spanish
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Mattia - Oslo72€
72€Finance, Statistics, Econometrics, Algorithmic Trading Tutor for master thesis and assignments
Trusted teacher: 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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