Quasi Score-Driven Models Training

This course offered at IRES is designed to provide participants with an in-depth understanding of quasi score-driven models, a powerful approach in econometrics and time series analysis.

Participants will explore the theoretical foundations and practical applications of quasi score-driven models in various fields, including finance, economics, and risk management.

The course emphasizes the estimation, interpretation, and implementation of these models using real-world data. Through hands-on exercises and case studies, participants will develop the skills needed to apply quasi score-driven techniques to their research and professional projects effectively.

Course Duration
10 Days

Who Should Attend

1. Econometricians
2. Financial analysts
3. Researchers in economics and finance
4. Data scientists
5. Statisticians interested in advanced time series analysis

Personal Impact

1. Gain a comprehensive understanding of quasi score-driven modeling techniques.
2. Enhance your analytical skills in econometrics and time series analysis.
3. Improve your ability to interpret and apply complex econometric models in real-world situations.

Organizational Impact

1. Strengthen the organization’s analytical capabilities in modeling economic and financial data.
2. Improve decision-making through the application of advanced econometric techniques.
3. Foster a culture of evidence-based analysis and research within the organization.

Course Objectives
By the end of this course, participants will be able to:

1. Understand the theoretical principles behind quasi score-driven models.
2. Estimate and interpret quasi score-driven models using appropriate software.
3. Apply quasi score-driven techniques to analyze economic and financial data.
4. Assess model performance and conduct diagnostic checks.
5. Develop skills to implement quasi score-driven models in practical research scenarios.

Course Outline

Module 1: Introduction to Quasi Score-Driven Models

1. Overview of econometric modeling and time series analysis
2. Understanding score-driven models and their significance
3. Introduction to quasi score-driven modeling concepts
4. Practical Exercise: Reviewing relevant literature and applications of quasi score-driven models

Module 2: Theoretical Foundations

1. Deriving quasi score-driven models: mathematical foundations
2. Understanding the relationship between score-driven models and traditional econometric methods
3. Identifying the advantages and limitations of quasi score-driven approaches
4. Case Study: Application of quasi score-driven models in finance

Module 3: Estimation Techniques

1. Estimation methods for quasi score-driven models (e.g., maximum likelihood estimation)
2. Model diagnostics and validation techniques
3. Practical Exercise: Estimating a quasi score-driven model using statistical software

Module 4: Applications in Finance and Economics

1. Exploring the applications of quasi score-driven models in economic forecasting
2. Analyzing volatility and risk management using quasi score-driven techniques
3. Case Study: Application in economic policy evaluation
4. Practical Exercise: Implementing quasi score-driven models on real-world datasets

Module 5: Advanced Topics and Model Optimization

1. Exploring advanced topics in quasi score-driven modeling
2. Model selection criteria and optimization techniques
3. Evaluating model performance and robustness checks
4. Real-life Project: Developing and presenting a quasi score-driven model based on a chosen dataset

Related Courses

1. Prices Statistics and Index Numbers Training Course
2. Gender Statistics and Gender Budgeting Training Course
3. Advanced Econometrics for Finance Training Course
4. Economic and Social Classifications: Methodology and Application Training Course
5. Microeconometrics Training Course
6. Performance Management and Appraisal Training Course

Course Administration Details

Methodology

The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. Therefore, the participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre.

The course fee covers the course tuition, training materials, two break refreshments, and lunch.

In addition to our training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru, and Naivasha), we conduct training in the following locations:

1. Dubai - United Arab Emirates
2. Cairo - Egypt
3. Johannesburg, Pretoria, and Cape Town - South Africa
4. Arusha, Zanzibar, and Dar-es-Salaam - Tanzania
5. Kigali - Rwanda
6. Accra - Ghana
7. Kampala - Uganda

Accommodation and Airport Transfer

Accommodation and airport transfer can be arranged upon request.

For reservations, kindly contact us on:

• Email: [email protected]
• Phone: +254715 077 817

Tailor-Made Program

Upon request, this training can also be customized to suit the needs of you or your institution.

You can have it delivered at our IRES Training Centre or at a convenient location.

For further inquiries, kindly contact us