ANALYSIS AND FORECAST IN FINANCIAL MARKETS
cod. 1001835

Academic year 2015/16
1° year of course - Second semester
Professors
Academic discipline
Economia politica (SECS-P/01)
Field
Economico
Type of training activity
Characterising
63 hours
of face-to-face activities
9 credits
hub: PARMA
course unit
in - - -

Learning objectives

Knowledge and understanding
The student
- will learn to understand the main current financial and credit phenomena and key measures taken by central banks since 2007.
-will learn to evaluate what is happening on financial and credit markets, and to evaluate central bank interventions.
- will learn to use econometric software for regressions.
- will learn to apply basic econometrics for estimation and prediction of important interest rates Euro-zone.

Applying knowledge and understanding)
- Learning about specialized tools of finance for the analysis of macroeconomic models at advanced level.
-Learning about tools, including institutional tools, to assess the impact of fiscal and monetary interventions and trade policy
-Learning about econometric tools to estimate the relationships between a group of variables

Making judgments
Ability to assess and make independent evaluations about findings of analysis financial sector and central bank actions.

Communication skills
Ability to draw up and present criticism of financial and credit markets, the crisis in these markets and central bank solutions. Students will also become familiar with data handling and econometric processing

Learning skills.
Ability to present complex topics concisely using formal language, description and examination of institutional phenomena and econometrics.

Prerequisites

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Course unit content

The course is divided into three parts. In the first, financial theories are explained along with their application to the real world. In the second, ECB and Fed policy in recent years of financial crises is examined. The third part deals with the use of econometric tools for estimating and predicting financial variables.

Part One:
- Information efficiency, efficiency and equilibrium price
- Evaluation efficiency
- Expected return on corporate bonds
- Long-term interest rates in Euro U.S areas.
- The effect of ECB communications on public expectations and the “Euribor future market”
- Difference between bubbles, fads, etc.. The "millennium bubble". Bubbles and the relationship between financial and human psychology
- The impact of heterogeneous expectations on price formation

Part Two:
- The Fed's response to the financial crisis and its current monetary policy
- The ECB's response to the financial crisis and sovereign debt

Part Three:
- Problems in forecasting
- The degree of integration of economic variables and their cointegration
- How to include I(0) and I(1) variables in a regression
- The prediction of money market rates using interest rates structure
- Anticipation of the official rate through the use of economic variables
- The relationship between Euribor and Repo rates
- The forecast of long-long term interest rates in Europe
- VAR models and forecasts
- "limited" dependent variables (the interest rate low bound case)
- Alternative methods for highly leptokurtic residual distributions (analysis of bank financial statements)
- Endogenous regressors and the GMM estimator (money growth and inflation, European and American long-term interest rates)

Full programme

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Bibliography

Dispense di Analisi e Previsioni nel Mercato Finanziario a.a. 2015/2016, on course website and also available from the Department of Economics photocopy service.:
- Giovanni Verga (2016), Dispensa n.1: Il funzionamento dei mercati
- Giovanni Verga (2016), Dispensa n.2: Crisi e politica Monetaria di Fed e BCE
- Giovanni Verga (2016), Dispensa n.3: Stime econometriche applicate alla finanza
- Giovanni Verga (2016), Glossario
,
For the third part of the course, students should also download from internet the free econometric software GRETL, or alternatively use the econometric software Eviews available on some positions of the library. All data used in the computations are downloadable from the course web page.

Teaching methods

Acquisition of knowledge: class lectures including computer econometric analysis

Acquisition of the ability to apply knowledge: computer analysis and discussion of financial and credit issues

Acquisition of judgment:
During the course students will be encouraged to link theory to real world of finance and credit and to discuss the various possible monetary policy interventions to tackle the economic crisis

Acquisition of learning skills:
for each topic students will start from a description of the problem and critically analyse solutions.

Acquisition of technical language:
students will learn the meaning of the terms commonly used by the financial community and central banks

Assessment methods and criteria

Written exam plus computer use of econometric software.

The final mark is out of maximum of 30, and will be calculated as follows:
-Knowledge will be assessed with 2 open questions assessed up to a max. of 7 marks each.
-Ability to apply knowledge and independent judgment will be assessed with an open question on monetary policy and an econometric exercise. (both max. 6 marks)
-The ability to communicate with the appropriate technical language will be assessed through two closed questions (total 4 marks)

Other information

Video recording of classes are weekly available at Dropbox. Ask the course teacher for information on how to access.. Some expert seminars will take place.

2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.economia@unipr.it
T. +39 0521 902377

Quality assurance office

Education manager:
Mrs Maria Giovanna Levati

T. +39 0521 032474
Office E. didattica.sea@unipr.it
Manager E. mariagiovanna.levati@unipr.it

President of the degree course

Prof. Gian Luca Podestà
E. gianluca.podesta@unipr.it

Faculty advisor

Prof. Silvia Bellini
E. silvia.bellini@unipr.it

Career guidance delegate

Prof. Chiara Panari
E. chiara.panari@unipr.it

Tutor Professors

Prof. Annamaria Olivieri
E. annamaria.olivieri@unipr.it

Prof. Maria Gaia Soana

E. mariagaia.soana@unipr.it

Prof. Claudio Cacciamani 

E. claudio.cacciamani@unipr.it

Delegati Erasmus

Prof. Maria Cecilia Mancini
E. mariacecilia.mancini@unipr.it
Prof. Donata Tania Vergura
E. donatatania.vergura@unipr.it

Referente assicurazione qualità

Prof. Paola Modesti
E. paola.modesti@unipr.it

Tirocini formativi

E. tirocini@unipr.it