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

من 322.66 SAR /س

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

معلومات إضافية

Online lessons via Skype

المكان

استخدم Ctrl + عجلة الفأرة للتكبير!

عند المعلم :

ALWADI CONTRACTING & STEEL WORKS, Doha, Qatar

Zürich, Switzerland

Geneva, Switzerland

Stockholm, Sweden

Oslo, Norway

Dublin, Ireland

عبر الانترنت من المملكة المتحدة

من أنا؟

المستوى التعليمي

الخبرة / المؤهلات

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

السن

الكبار (18-64 سنة)

الكبار (65 سنة فأكثر)

مستوى الطالب

مبتدئ

متوسط

متقدم

المدة

30 دقيقة

45 دقيقة

60 دقيقة

90 دقيقة

120 دقيقة

الدرس يدور باللغة

الإنجليزية

الإيطالية

مهارات

الإحصاء

تمويل

الأسواق المالية

الجاهزية في الأسبوع العادي

(GMT -05:00)

نيويورك

عند المدرّس و عبر الانترنت

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Statistics for Master Thesis & Assignments with R SPSS Eviews Gretl

322.66 SAR /س

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

322.66 SAR /س

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!

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Hilaire

3.0

(1)

EducPourTous offers support classes for all primary and secondary school students, as well as students from universities, colleges of higher and technical education and universities in Statistics, Accounting and Finance, Mathematics, Physics, Chemistry, Computer Science and several other teaching disciplines.
Classes are taught by carefully selected professionals who meet strict quality standards to ensure the desired success.
We offer individual and group support courses, at home, on our premises, by videoconference or by correspondence.

Ali

3.0

(1)

I'm ready for any advice you want for choosing your major.
- Don't choose for experience and knowledge, always choose for attitude and who will finish your work even if it is too late or 4 am. IT IS ME
- I'll be your support, even if it is not my domain i'll try also to brainstorm with for free.
- I love my students who are dedicated to learn
- Dedicated to helping each and every student reach their full potential.
- Excited to bring an inspiring and hands-on learning experience to the students.
- Ready to give you all the knowledge and experience you need.
- I'll be ready for you any time you need even after 12 am if there is an urgent issue.
- I know you reading this to attract you well, but I need you to think that if you really need help, am here for you to let you pass any assignment, quiz, exam, or research.
so choose me now.

Salah

3.0

(1)

As a teaching professional, I have always enjoyed sharing my knowledge. My goal is to provide quality education. I am aware that some topics may seem complex, but often this is simply the result of an inadequate explanation by the teacher. With me, you will discover a real interest in the material!

We strive together to achieve academic excellence, overcoming the shortcomings and difficulties encountered by your child. Studies will become a pleasant experience for him. In addition to the courses, I can also help with school orientation, identifying their preferences and highlighting the advantages and benefits of a fulfilling educational ambition.

The sessions generally take place according to the following stages:

1️⃣ The first sessions are devoted to the assessment of the student's level in order to detect existing gaps.

2️⃣ Next, we create a personalized plan to address these gaps, including the number of hours of work needed, specific areas to focus on, and appropriate training and development exercises.

3️⃣ We stay in constant contact with the student's class teacher, to keep up to date with the latest requirements and ensure a consistent approach.

4️⃣ Subsequently, I provide exams similar to those that are likely to be asked in class, to prepare the student effectively.

5️⃣ Upon request, I write a regular report, usually monthly, to keep parents informed of their child's progress throughout their course.

I adapt my methodology according to the specific needs of each student, thus offering them a personalized and adapted work approach.

In addition, I offer crash courses for students preparing for the start of the school year, allowing them to start the year well prepared, with a solid lead on the school curriculum.

If you have any questions, do not hesitate to contact me. I will be happy to help you.

Dr.

3.0

(1)

I am honored to be a university professor specialized in teaching statistics, mathematics, operations research, and economics. Thanks to my extensive experience, which extended for 15 years, I became a professional in monitoring students’ level and contributing to their academic success and achieving their cognitive goals.
I truly find true happiness in my work as a university professor by guiding and helping students in achieving their academic realization and raising their level of scientific awareness. Therefore, I have a strong belief in the importance of this noble mission in the field of education.

Typically, sessions go like this:

1️⃣ The first sessions focus mainly on assessing the student’s level to determine the areas that need development.

2️⃣ Next, we prepare a plan to fill the gaps, including determining the number of hours needed, the materials to focus on, and providing a set of training and improvement exercises.

3️⃣ We are keen to constantly review the student’s curriculum to stay informed of the latest developments and ensure continuous coordination.

4️⃣ Next, we provide exams similar to those that could be asked in class.

5️⃣ Finally, we prepare a monthly report upon request to notify parents of the student’s progress and improvement points.

I am honored to be a specialized university professor with 15 years of experience in teaching statistics, mathematics, and operations research. Thanks to my extensive experience, I have become a professional in monitoring students' progress and contributing to their academic success. Indeed, I find true happiness in my work as a university professor through guiding and assisting students in achieving their academic awareness and raising their level of scientific knowledge. Therefore, I have a strong belief in the importance of this noble mission in the field of education.

Usually, sessions follow the following structure:

1️⃣ The initial sessions primarily focus on assessing the student’s level to identify the areas that need improvement.

2️⃣ Following that, we create a plan to address the identified areas, including determining the required number of hours, the specific subjects that need emphasis, and providing a range of practice and enhancement exercises.

3️⃣ We ensure ongoing alignment with the student’s curriculum to stay updated on the latest developments and maintain continuous coordination.

4️⃣ Subsequently, we administer similar exams to those that may be given in the classroom.

5️⃣ Finally, we prepare a monthly report upon request to inform parents about the student’s progress and areas of improvement.

ابراهيم

3.0

(1)

I give special support and strengthening lessons in mathematics (decimals - complex numbers - statistics - matrices - derivatives - differentiation and integration - algebra - analysis - geometry - inequalities - sequences) to students of the Qatari, Arab and Sudanese curricula for the stages (primary - preparatory - secondary). My goal is to provide Good education and achieving academic excellence using modern teaching methods by explaining lessons, solving assignments, and reviewing before exams. To access any information, do not hesitate to contact me.

Abdulkareem

3.0

(1)

4 years experience in teaching mathematics in a fun, interesting and simple way
More than 1000 students around the world
I teach mathematics as probability, statistics, trigonometry, solid geometry, analysis, calculus and limits, in both Arabic and English.

Possibility of teaching online or in Doha at the student's home.

Caroline

3.0

(1)

My lessons are designed to help students of all levels excel in finance and business through a structured and personalized approach.

I cover fundamental and advanced topics, including financial analysis, investment strategies, portfolio management, corporate finance, and business case studies. I also help with research projects, academic writing, and exam preparation.

Abdou

3.0

(1)

📊 Introduction to Data Science with Python
Full Title: Statistics, Data Visualization, and Machine Learning for Beginners
(100% online course – for students, professionals in retraining, or curious data enthusiasts)

Data science is now at the heart of the most innovative professions and strategic decisions in all sectors. However, when you're just starting out, you can quickly feel overwhelmed by technical jargon, Python libraries, or statistical models.

With this course, my goal is to make this exciting discipline understandable and accessible to everyone, even without advanced mathematical training or computer science background.

I offer step-by-step support based on practical experience, concrete projects, and a supportive teaching approach. You'll learn how to manipulate data, extract information from it, and create your first machine learning models with ease.

🎯 Course objectives
Discover the basic tools of Data Science with Python

Understand and apply the fundamental concepts of exploratory statistics

Know how to manipulate, clean, visualize and interpret real data sets

Carry out initial predictive modeling (linear regression, classification)

📚 Course content
✔ Fundamental libraries in Data Science
– pandas: reading, cleaning and transforming data
– numpy: mathematical operations and array manipulation
– matplotlib & seaborn: clear and aesthetic data visualization
– Getting Started with Scikit-Learn for Machine Learning

✔ Data cleaning and analysis
– CSV file import and data mining
– Management of missing values and duplicates
– Creation of variables, filtering, groupings
– Visualization: histograms, curves, heatmaps, boxplots...

✔ Introduction to Machine Learning
– Understand how linear and logistic regression work
– First classification models (KNN, simple decision trees)
– Data separation (training/test set), single cross-validation
– Interpretation of results and improvement of the model

🧭 How the sessions work
1️⃣ Assessment of the student's objectives: discovery, professional project, preparation for training, etc.
2️⃣ Personalized progression plan, adapted to the starting level.
3️⃣ Alternation of visual theory and intensive practice on real data sets (health, sports, finance, etc.).
4️⃣ Practical mini-projects at each stage: analyzing survey results, predicting simple results, automating analyses.
5️⃣ Explanation of errors encountered, individualized educational monitoring.
6️⃣ Regular assessment, with reinforcement of key points as needed.

🌐 100% online courses – accessible teaching methods
Classes via Zoom, Google Meet, or the tool of your choice

Live screen sharing, work on interactive notebook (Jupyter or Google Colab)

PDF supports + commented code provided after each session

Possibility of intensive coaching for training or an interview

Flexible hours, adapted to the time zone of the Gulf countries and your availability

👨‍🎓 For whom?
Complete beginners in Data Science and Python

Students wishing to enrich their profile with practical skills

Professionals retraining for data professions

Anyone curious about understanding the world through data!

This course has been designed so that each participant can progress at their own pace, develop their analytical logic and discover the pleasure of "making the data speak".

Feel free to contact me to discuss your goals and build a customized program together. I would be delighted to accompany you on this wonderful adventure that is data science.