KTTS4120 Applied Time Series Analysis for Financial Economics (5 op)

Opinnon taso:
Syventävät opinnot
Arviointiasteikko:
0-5
Suorituskieli:
englanti
Vastuuorganisaatio:
Jyväskylän yliopiston kauppakorkeakoulu
Opetussuunnitelmakaudet:
2017-2018, 2018-2019, 2019-2020

Kuvaus

Sisältö

The course is an introduction to the econometric analysis of time series data, focusing especially on applications for financial economics. After a thorough recap of the standard classical linear regression model, the students will apply the tools of time series analysis to financial economic problems, rather than attempt to formally prove theoretical propositions. However, the ability to apply these techniques often requires knowledge of the underlying theory. The course begins with an overview of the nature of time series data and a review of some necessary statistical tools. The analysis of univariate and multivariate time-series models will be covered. We especially focus on stationary linear, i.e. the autoregressive-moving average (ARMA) models, non-linear models of conditional heteroscedasticity (ARCH and GARCH type models) and multivariate time series analysis in the form of vector autoregressive (VAR) models. In addition, the principal tools required for the analysis of non-stationary time series data are provided in the form of Engle-Granger and Johansen procedures.

Suoritustavat

Contact teaching course, spring semester 3rd period. The study methods of the contact teaching course are specified in the study program annually.

Arviointiperusteet

Accepted completion of the designated assignments. The assessment criteria of the course is specified in the study program annually.

Osaamistavoitteet

On successful completion of the course, the students
• are able to identify single variable and multivariate models and methods for analysis of financial economic time series
• recognize the models for volatility and asset market risk
• are able to scrutinize empirically some fundamental equilibrium models for financial markets using time series data
• understand the differences in analyzing the basic models for stationary and non-stationary time series data

Lisätietoja

Recommended timing for BIF students: 1st year.
Recommended timing for Finnish M.Sc. degree students: 3rd or 4th year.

Oppimateriaalit

Lecture notes, material for demonstrations and other relevant material distributed through Optima

Kirjallisuus

  • Gujarati, D. 2015. Econometrics by Example, 2nd ed; ISBN: 978-1137375018
  • Stock, J.H. & Watson, M.W. 2015. Introduction to Econometrics, 3rd ed; ISBN: 978-0133486872
  • Cuthbertson, K. & Nitzsche, D. 2004. Quantitative Financial Economics, Stocks, Bonds & Foreign Exchange, 2nd ed; ISBN: 978-0470091715
  • Brooks, C. 2014. Introductory Econometrics for Finance, 3rd ed; ISBN: 978-1107661455
  • Patterson, K. 2000. An Introduction to Applied Econometrics: A Time Series Approach; ISBN: 978-0312235130
  • Enders, W. 2015. Applied Econometric Time Series. 4th ed; ISBN: 978-1118808566
  • Tsay, R. S. 2010. Analysis of Financial Time series. 3rd; ISBN: 978-118017098

Suoritustavat

Tapa 1

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