Registry

Module Specifications

Archived Version 2022 - 2023

Module Title
Module Code
School
Online Module Resources
NFQ level	9	Credit Rating	7.5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

Introduction to the theory and practice of financial time series analysis. Students will learn statistical methods to characterize empirical features of financial time series data, apply relevant time series methods to analyze data using appropriate statistical software, critically evaluate empirical results reported in academic journal articles.

Learning Outcomes

1. analyse financial time series data using appropriate statistical methods and software
2. explain theoretical properties of financial time series models
3. validate past empirical analyses published in academic journals
4. apply financial econometric techniques to quantitatively address practical issues in finance

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	36	lectures and in-class programming
Independent Study	72	readings and review of lectures
Assignment Completion	79.5	review for in-class test and submission of assignment reports
Total Workload: 187.5

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Empirical characteristics of asset returns
autocorrelation, skew, kurtosis, time aggregation, volatility clustering, long memory, leverage, trading volume.

Volatility
nonparametric measurement, GARCH-type models, forecasting, news impact curve, stochastic volatility, option implied volatility.

Ultra high frequency data
market microstructure, stylized facts, bid-ask bounce, irregularly spaced data, realized variance, jumps.

Statistics of extremes
extreme value theory, generalized extreme value distribution, threshold exceedance, generalized Pareto distribution.

Assessment Breakdown
Continuous Assessment	%	Examination Weight	%

Type	Description	% of total	Assessment Date
Course Work Breakdown

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
Unavailable

Indicative Reading List

Ruey Tsay: 0, Analysis of Financial Time Series, 3rd,
Stephen Taylor: 0, Asset Price Dynamics, Volatility, and Prediction,
Alexander McNeil and Rudiger Frey and Paul Embrechts: 0, Quantitative Risk Management, revised,

Other Resources

None

Programme or List of Programmes

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