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Statistics for Master Thesis & Assignments with R SPSS Eviews Gretl
Expert offers private lessons in statistics and econometrics for master thesis and assignments. Regression ARIMA ARMA GARCH ARCH TOBIT LOGIT PROBIT and many other econometrics models. I have a strong experience that can help you to find your solution
Location
Online via webcam
General info
| Age: | Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
|---|---|
| Student level: | Beginner Intermediate Advanced |
| Duration: | 60 minutes |
| The class is taught in: | English, Italian |
About Me
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,...
Education
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,...
Experience / Qualifications
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
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
Expert offers private lessons in statistics and econometrics using R Stata spss eviews gretl and many other softwares. Lessons online. I can support you for master thesis, assignments, exam preparation. I have such an experience that I can already give you a proper guidance in few minutes!
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
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
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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Availability of a typical week
(GMT -04:00) New York
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from $83.26Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since December 2017
- Phone number verified
- X connected
Availability of a typical week
(GMT -04:00) New York
| Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
|---|---|---|---|---|---|---|---|
| 0 | |||||||
| 1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
| 2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
| 3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
| 4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
| 5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
| 6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
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from $83.26Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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Mathematics, statistics and programming courses from primary to higher education.Mathematics is fascinating because it finds applications in all areas of human activity as well as in the observation and study of natural phenomena. As Galileo said, the book of natural laws is written in mathematical language. And yet, too often, they are taught in an uninviting way with rote recitation instead of seeking to awaken the (natural) curiosity of the learner. All humans, in their early childhood, have gone through the "why" phase. This phase proves the natural curiosity and the taste for seeking to understand how the world around us works. That's what math is all about: curiosity and the taste for seeking to understand how systems work. Whether they are numerical, geometric, or information systems like the ones we use every day. Every prompt or query you type into your favorite language model (whether American, Chinese, or European) is automatically transformed into a mathematical statistical calculation to be processed by artificial intelligence. In short, math is everywhere, so we might as well rediscover our natural curiosity to better understand it and its usefulness.
Juan Bautista
Learn ENGLISH, get to know the language and get back on track.English is a subject that many students struggle with throughout their studies for one reason: the teacher doesn't make the subject fun, but rather a routine. With these classes, we'll learn English in a more useful and effective way that will allow us to pass this subject and understand the language.