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analysis, Measures of liquidity and credit risk

5.    Capital structure analysis and its implications

6.    Asset management analysis

7.    Profitability measures

8.    Market value measures

9.    Bankruptcy prediction

10.    Case study- Financial statement analysis of a chosen company

Bibliography

1.    S.A. Ross, R.W. Westerfield, J. Jaffe, B.D. Jordan: Modern Financial Management, McGraw-Hill International Edition 2008

2.    A. Damodaran: Corporate Finance. Theory and Practice; John Wiley&Sons, Inc, 2005

3.    L. Revsine, D.W. Collins, W.B. Johnson: Financial Reporting and Analysis, Prentice Hall 2002

4.    R.F. Meigs, J.R. Williams, S.F. Haka, M.S. Bettner: Financial Accounting; Irwin McGraw-Hill,2001

5. J.M. Samuels, F.M. Wilkes, R.E. Brayshaw: Management of Company Finance, Chapman & Hall, 1995

6. B. Elliott, J. Elliott: Financial Accounting &Reporting; Prentice Hall 2000

Grading homework
Forecasting in Economics and Business
Year:	Semester:
2015/2016	summer
ECTS: 4 hours:15 language: English
Lecture Teacher: Prof. Anna Zamojska, dr Ewa Majerowska
E-mail: a.zamoiska(a)uq.edu.pl; [e-mail]

Content/ Course Description:

The course focuses on the empirical application of econometric techniques to the prediction in economics. Topics such as basie regression, model building and specification, and hypothesis testing will be reviewed, followed by in-depth examination of various modern forecasting techniques used in economics. The course is aimed towards generating a comprehensive understanding of practical issues facing economists with the task of prediction and forecasting. Given the importance of the application component of the course, substantial emphasis will also be placed on efficient and effective use of computational economic software. For this reason, numerous classes will be lab oriented. Software packages of interest are available in the Econometrics Department Computer laboratory, including EVIEWS, GRETL and MicroFit. We will also make use of a Excell, a spreadsheet program, for data analysis.

Bibliography:

Diebold F.X., Elements of Forecasting 4^th edition, Cengage Learning, 2006.

Dijk D., Franses P.H., Opschoor A., Time Series Models for Business and Economic Forecasting 2nd edition, Cambridge University Press, 2014.

Evans M.K., Practical Business Forecasting, Blackwell Publishers, 2003 Ramanathan R., Introductory econometrics with applications, South-Western, Mason 2002.

Grading: Written report discussed with the lecturer, orał presentation, class participation

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Language:

English