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Introduction to Financial Econometrics

By Dr. Santhosh Kumar PK   |   Cochin University of Science and Technology, Kerala
Learners enrolled: 242

In an era where financial decisions are increasingly data-driven, Financial Econometrics: From Data to Decision offers learners the analytical frameworks and tools required to decode complex financial data. This course introduces the core principles of financial econometrics and guides learners through the process of applying statistical and econometric models to real-world financial problems. Combining theory with hands-on application, the course enables participants to collect, analyze, model, and interpret financial data to enhance decision-making. Learners will engage with forecasting techniques, risk assessment models, and investment evaluation tools that are widely used in financial markets and institutions.

 

Learning Objectives:

  • Define key concepts and terminology in financial econometrics and time-series analysis.
  • Explain the role of econometric methods in financial data analysis, forecasting, and risk management.
  •  Use statistical software to apply econometric techniques to financial datasets.
  •  Evaluate the structure, assumptions, and outcomes of econometric models in the context of financial markets.
  • Critically assess the reliability and limitations of model results for risk and investment decision-making.
  • Develop and validate forecasting models that support strategic financial decisions based on empirical data.

Summary
Course Status : Upcoming
Course Type : Core
Language for course content : English
Duration : 8 weeks
Category :
  • Management Studies
Credit Points : 3
Level : Postgraduate
Start Date : 15 Jul 2025
End Date : 31 Oct 2025
Enrollment Ends : 31 Aug 2025
Exam Date :
Translation Languages : English
NCrF Level   : 6.5
Industry Details : Finance and Investment

Page Visits



Course layout

Week 1: Introduction to Financial Econometrics

Week 2: Statistical Foundations

Week 3: Time Series Analysis

Week 4: Modelling Volatility

Week 5: Multivariate Models

Week 6: Advanced Topics in Financial Econometrics

Week 7: Applications in Financial Markets

Books and references

  • Tsay, R. S. (2005). Analysis of financial time series (2nd ed.). Wiley Series in Probability and Statistics.
  • Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997). The econometrics of financial markets. Princeton University Press.
  • Mills, T. C., & Markellos, R. N. (2008). The econometric modelling of financial time series (3rd ed.). Cambridge University Press. (Note: An earlier edition by Terrance Mills can also be used.)
  • Hamilton, J. D. (1994). Time series analysis. Princeton University Press.
  • Brooks, C. (2002). Introductory econometrics for finance. Cambridge University Press.
  • Gourieroux, C., & Jasiak, J. (2001). Financial econometrics: Problems, models, and methods. Princeton University Press.
  • Wang, P. (2008). Financial econometrics. Taylor & Francis.
  • Enders, W. (2004). Applied econometric time series. John Wiley & Sons.

Instructor bio

Dr. Santhosh Kumar PK

Cochin University of Science and Technology, Kerala

Dr. Santhosh Kumar P K is an economist with expertise in economic theory and its practical applications. He has extensive experience in analytic work and research projects, and is skilled in statistical and econometric analysis of industry and economic data. His specializations include macroeconomic and financial research, econometric modeling, forecasting, data mining, investment, portfolio analysis, and asset pricing.


Dr. Kumar is also adept at project and people management, delivering impactful presentations, and has a proven track record in academic and professional settings.

Course certificate

Enrolling and learning from the course is free. However, if you wish to obtain a certificate, you must register and take the proctored exam in person at one of the designated exam centre’s. The registration URL will be announced when the registration form is open. To obtain the certification, you need to fill out the online registration form and pay the exam fee. More details will be provided when the exam registration form is published, including any potential changes. For further information on the exam locations and the conditions associated with filling out the form, please refer to the form.

 

Grading Policy: 

Assessment Type

Weightage

Weekend Assessment

25%

Final Exam

75%


Certificate Eligibility: 

  • 40% marks and above in weekend assessment.
  • 40% marks and above in the final proctored exam.

Score

Type of Certificate

>=90

Gold

76 - 89

Silver

61 - 75

Bronze

40 - 60

Successfully Completed

<39

No Certificate


Sample Certificate:



Disclaimer: In order to be eligible for the certificate, you must register for enrolment and exams using the same email ID. If different email IDs are used, you will not be considered eligible for the certificate.



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