Econometrics & Statistics (R, SPSS, Eviews, Gretl, Stata) for master thesis and assignments

Àpd 584.28 CNY /h

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

Lieu

Utilisez Ctrl + molette pour zoomer !

Cours chez le professeur :

Utrecht, Netherlands

Copenhagen, Denmark

Bruxelles, Belgium

Boston, MA, USA

Miami, FL, USA

Paris, France

En ligne depuis Royaume-Uni

Présentation

Education

Expérience / 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

Age

Adultes (18-64 ans)

Seniors (65+ ans)

Niveau du Cours

Débutant

Intermédiaire

Avancé

Durée

60 minutes

Enseigné en

anglais

italien

Compétences

Statistiques

Economie pour adultes

Programmation informatique

Disponibilité semaine type

(GMT -04:00)

New York

Cours chez le professeur et par webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Finance, Statistics, Econometrics, Algorithmic Trading Tutor for master thesis and assignments

584.28 CNY /h

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 for Master Thesis & Assignments with R SPSS Eviews Gretl

584.28 CNY /h

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

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Whether you prefer lessons at your place, my place, or remotely, I am flexible to accommodate your needs. If necessary, I can travel to your home in Brussels, Walloon and Flemish Brabant, with a minimum duration of 2 hours per session. The lessons are designed to provide extensive practice with numerous exercises. Distance learning options are also available through platforms such as Skype, Facebook, etc. Please note that for students in France, only distance learning courses are provided.

In mathematics, I specialize in various topics and frequently provide lessons covering the entire secondary school curriculum, including math 6 and higher. These topics encompass factorization, equations of the 1st and 2nd degree (with in-depth study of parabolas), limits, derivatives, integrals, exponentials and logarithms, as well as trigonometry. Additionally, I am occasionally called upon to teach analytical geometry in space, including equations of lines and planes.

For statistics and probabilities, I provide instruction in descriptive and inferential statistics (univariate and bivariate), covering confidence intervals and hypothesis tests, applicable to secondary and higher education levels.

Feel free to reach out to me to discuss and arrange the lessons based on your specific needs and availability. My aim is to help you enhance your skills effectively and provide personalized instruction. By tailoring the lessons to your requirements, we can ensure rapid progress in your studies.

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My courses are aimed at students in psychology or from other courses (university, medicine, engineering schools, BTS, MBA, Business School, Business School, international finance, etc.) wishing to optimize their performance and grades in exams and competitions.

Teacher and trainer at the Ecole Polytechnique, at the Universities of Strasbourg and Paris 8, ESSEC Business School, ISTH, IONIS Education Group, EEEA, Institut Tocqueville etc.

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(FR/ENGL) Experienced and passionate tutor, I have been supporting students for 6+ years in their mathematics journey, from high school through the beginning of higher education.

🔎 Why choose my lessons?
• Guaranteed progress: my students not only improve their grades, but also gain confidence and independence.
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• At the teacher’s location – in a classroom near ULB.
• Online or hybrid lessons – interactive and adapted to all profiles using effective digital tools.

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Looking forward,
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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
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Python fundamentals: variables, loops, functions, data structures
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- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

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Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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Bonjour !

Si vous cherchez un professeur particulier de Python, vous êtes au bon endroit !

Je suis un expert en Python avec plusieurs années d'expérience dans l'enseignement de ce langage de programmation. Je peux vous aider à apprendre les bases du Python, ainsi que des sujets plus avancés tels que les objets et les classes.

En tant que professeur particulier, je peux adapter mes cours à votre niveau et à vos besoins individuels pour vous aider à progresser rapidement.

Je peux également vous montrer comment utiliser des libraries populaires comme:

NumPy : une librairie pour le calcul scientifique, qui permet de travailler avec des tableaux multidimensionnels et de faire des calculs de haute performance.

Pandas : une bibliothèque pour l'analyse de données, qui offre des structures de données flexibles et faciles à utiliser pour manipuler des données tabulaires.

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Si vous êtes intéressé, n'hésitez pas à me contacter pour discuter de vos besoins et de mes disponibilités. Je me réjouis de travailler avec vous !

Vous pouvez également visiter mon site web pour plus d'informations sur mes cours et projets: sites.google.com/view/coursprojets

****************************

Hello!

If you are looking for a private Python tutor, you are in the right place!

I am an expert in Python with several years of experience in teaching this programming language. I can help you learn the basics of Python, as well as more advanced topics such as objects and classes.

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NumPy: a library for scientific computing, which allows you to work with multi-dimensional arrays and perform high-performance calculations.

Pandas: a library for data analysis, which offers flexible and easy-to-use data structures for manipulating tabular data.

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Scikit-learn: a library for machine learning, which offers supervised and unsupervised learning algorithms for data analysis.

If you are interested, don't hesitate to contact me to discuss your needs and my availability. I look forward to working with you!

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Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

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Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

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Hi!

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Vous souhaitez apprendre à programmer en Python et devenir un expert en codage ? Que vous soyez totalement novice ou que vous ayez déjà quelques connaissances, ce cours particulier est fait pour vous !

Avec une méthode personnalisée et interactive, vous apprendrez à maîtriser Python à votre propre rythme, tout en acquérant des compétences pratiques pour réaliser vos propres projets. Grâce à des exercices adaptés à votre niveau et un accompagnement sur mesure, vous progresserez rapidement et efficacement.

🎯 Pourquoi choisir ce cours ?
Cours particuliers entièrement personnalisés : Le contenu et le rythme d'apprentissage sont adaptés à vos besoins et objectifs spécifiques.
Méthodologie interactive : Vous bénéficierez d'explications claires, d'exemples concrets et d'exercices pratiques pour une compréhension approfondie des concepts.
Projets pratiques : Appliquez vos connaissances en réalisant des projets concrets qui renforceront vos compétences en programmation.
Flexibilité des cours en ligne : Apprenez depuis chez vous, à votre propre rythme, grâce à des séances en ligne interactives avec audio et partage d'écran.
Accompagnement complet : Recevez des conseils personnalisés pour progresser rapidement et surmonter vos difficultés en programmation.
Préparation aux examens et certifications : Un entraînement intensif pour vous aider à réussir vos examens ou à obtenir vos certifications en Python.

Ce cours aborde tous les fondamentaux de Python, ainsi que des concepts avancés pour vous amener à un niveau professionnel.

🐍 Contenu du Cours :
1. Notions de Base en Python – De Débutant à Intermédiaire
✏️ Introduction à Python : Installation, IDE, premiers scripts.
🔠 Syntaxe et Structure de base : Variables, types de données, opérateurs.
🔄 Structures de contrôle : Conditions (if, else), boucles (for, while).
📦 Fonctions et Modules : Création de fonctions, importation de modules.
🗃️ Gestion des Collections : Listes, tuples, dictionnaires, ensembles.
📂 Fichiers et Entrées/Sorties : Lecture et écriture de fichiers.
🔍 Débogage et Gestion des erreurs : Try, except, assertions.

Programmation Orientée Objet (POO) en Python
🧩 Classes et Objets : Apprendre à créer et à utiliser des classes et des objets.
🔐 Encapsulation, Héritage et Polymorphisme : Exploration des concepts avancés de la POO.
📚 Méthodes et Attributs : Comprendre les méthodes d'instance, de classe et statiques.
🔄 Surcharge d'opérateurs : Adapter le comportement des opérateurs selon vos besoins.

3. Projets Pratiques et Applications Réelles
🎲 Jeux en Python : Créez vos propres jeux en utilisant Pygame.
🌐 Applications Web : Découvrez Flask et Django pour développer des sites web dynamiques.
📊 Analyse de Données : Apprenez à manipuler et analyser des données avec Pandas et NumPy.
🤖 Intelligence Artificielle et Machine Learning : Initiez-vous à Scikit-learn pour élaborer des modèles de prédiction.
🔗 API et Web Scraping : Apprenez à interagir avec des API et à extraire des données web grâce à BeautifulSoup et Requests.

4. Concepts Avancés en Python
⚡ Programmation Asynchrone : Utilisation d'Asyncio pour créer des applications rapides et réactives.
📦 Gestion des Packages et Environnements Virtuels : pip, venv, et gestion des dépendances.
🧪 Tests Unitaires : Utilisation de pytest pour assurer la fiabilité de votre code.
🔒 Sécurité et Optimisation : Rédaction de code à la fois sécurisé et performant.

🧑‍🏫 Méthodologie et Approche Pédagogique :
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Enseignement interactif en ligne : Utilisation de l'audio et du partage d'écran pour assurer une communication fluide et un apprentissage dynamique.
Suivi personnalisé : Un accompagnement régulier pour évaluer votre progression et répondre à toutes vos questions.
Projets concrets : Élaboration de projets complets pour appliquer vos compétences en programmation.
Motivation et confiance : Une approche positive et encourageante pour renforcer votre confiance en vos capacités.

🎓 Pour qui ?
Ce cours est destiné à :

- Des débutants complets qui n'ont jamais touché à la programmation.
- Des étudiants en informatique ou en sciences désireux d'apprendre Python pour leurs études.
- Des professionnels souhaitant acquérir des compétences en programmation pour faire avancer leur carrière.
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- Des candidats aux certifications en Python à la recherche d'un entraînement intensif.

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Courses delivered by a laureate of the Louvain School of Management (one of Belgium’s leading business schools) with 5+ years’ experience in management.
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Logistics & Transportation : Hands-on training on planning, executing and monitoring transport operations across road, sea and air. Focus on routing, inventory control, supplier selection and basic cost optimisation.
Key outcomes: route & inventory planning templates; procurement for transport; incidence handling and documentation.

Marketing Strategy : Clear, actionable marketing strategy course for organisations that need a focused plan. Learn how to define positioning, segment customers, build value propositions and convert strategy into measurable actions.
Key outcomes: positioning canvas; 90-day go-to-market plan; KPI dashboard to track progress.

Business Plan (Build & Pitch) : Step-by-step course to build a solid business plan and pitch it confidently to partners or funders. Covers financial assumptions, go-to-market, operational plan and investor-ready pitch decks.
Key outcomes: completed one-page business plan; financial assumptions template; 7–10 slide pitch deck.

Market Studies & Competitive Intelligence : Practical methodology to conduct fast market scans, map competitors and extract insights that inform strategic decisions. Teaches data sources, analysis frameworks and reporting for decision-makers.
Key outcomes: competitor map; SWOT & Ansoff analysis; 1-page market intelligence brief.
Format: half-day workshop or 2-day deep-dive.

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Are you looking for a reliable and experienced Economics teacher to support your child at secondary school level in Belgium? I offer comprehensive and personalised Economics tutoring, fully aligned with the Belgian secondary school curriculum. With solid experience in secondary education, I help student s understand key economic concepts, build confidence, and achieve better academic results, whether for regular follow-up, homework support, or exam preparation.

Topics Covered – Full Secondary Economics Curriculum
• Introduction to Economics
(needs, scarcity, economic agents, decision-making)
• Market Economy and Firms
(supply and demand, price formation, production, competition)
• Money, Banking and Basic Finance
(functions of money, banks, credit, savings, inflation – secondary level)
• Labour Market and Economic Policies
(employment, unemployment, wages, role of the State)
• Household Economics and Consumption
(household budget, purchasing power, responsible consumption)
• Basics of Accounting and Management
(income and expenses, costs, basic financial management)
• Economics and Sustainable Development
• Belgian and European Economy – Key Concepts
• Economic Methodology and Exam Skills
(reading graphs, analysing texts, structuring answers)
• Applied Economics: exercises and case studies

Teaching Approach
✔ Clear and structured explanations
✔ Step-by-step progression
✔ Adapted to the student’s level and learning pace
✔ Practical exercises and real-life examples
✔ Focus on exam techniques and methodology
✔ Supportive and confidence-building environment

Learning Objectives
• Improve understanding of Economics
• Achieve better school results
• Gain confidence and autonomy
• Prepare effectively for exams
• Develop strong analytical and study skills

For Parents
I provide a serious, supportive and structured learning framework.
Regular feedback can be shared with parents regarding the student’s progress and areas for improvement.

Practical Information
• Level: Secondary school (all grades)
• Curriculum: Belgium (FWB)
• Format: Online or in-person
• Language: English or French