Course:FRE530

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Time Series Analysis
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FRE 530
Section:
Instructor: Kurt Niquidet, PhD
Email: kurt.niquidet@ubc.ca
Office: TBA
Office Hours: TBA
Class Schedule: Feb 26-Apr 12

Lecture Mon&Wed 5:30-7:00pm

Lab Wed 2:30-3:30 pm

Classroom: MCML 154
Important Course Pages
Syllabus
Lecture Notes
Assignments
Course Discussion


COURSE DESCRIPTION

This course will introduce students to the basic techniques of time series econometrics and will investigate both univariate and vector processes in time series models. The goal of this course is to provide students with sufficient understanding and application of time series methods to be comfortable working within a modeling environment (i.e., forecasting roles, food and resource macroeconomic studies, etc.) that deals with time series analysis.  A variety of models and analytical methods will be investigated in this course including stationary and non-stationary forecasting models. The emphasis of this course is on understanding the econometric time-series methods and its application using real data and issues.

LEARNING OUTCOMES

  • Estimate and interpret univariate and multivariate time series econometric models (basic and more advanced models).
  • Apply estimated time series models to areas of policy analysis and forecasting.
  • Understand the role of predictive analytics in the context of a number of applications to business, finance and resource economics.
  • Be proficient using R Studio to exploratory time series analysis; apply advanced time series econometric methods and estimation methods to empirical data.
  • Be capable of critically evaluating published econometric research that use advanced time-series econometrics methods.

ASSESSMENT REPORT

Macroeconomic and Commodity Price Linkages.

BIG QUESTIONS & REAL-WORLD APPLICATIONS IN CLIMATE, FOOD AND THE ENVIRONMENT COVERED IN THE COURSE

  • How does one determine long-term relationships between various time series? For example, climate and food markets?
  • What is the impact of various policies on food and resource markets?
  • How does the macroeconomic environment influence commodity prices?

ASSESSMENT METHODS

Your grade shall be determined as follows

Evaluation Date Percent of Grade
Assignments View MFRE online schedule 25%
Project (Team or Individual) & Presentation View MFRE online schedule 35%
Class Participation Contributions to class discussions 10%
Final Exam View MFRE online schedule 30%