Statistics I (2018-19)

03-10-19 web.xrh 0 comment

Course Name: Statistics I

Teachers: Georgios Psarrakos

School: Finance and Statistics

Department: Banking and Financial Management

Level: Undergraduate

Course ID: ΧΡΣΤΑ01  Semester: 1st

Course Type: Core Course

Prerequisites: –

Teaching and Exams Language: Greek

Course Availability to Erasmus Students: No

Course webpage: 

Specific Teaching Activities

Weekly Teaching Hours
Credit Units
Lectures
4
6

Course Content

The basic sections that will be presented are:

  • Empirical Univariate Frequency Distributions: Discrete and Continuous Distributions of Frequencies and Cumulative Frequencies – Graphic Presentation Methods of Qualitative and Quantitative Statistical Data – Frequencies and Cumulative Frequencies Histogram
  • Univariate Populations Parameters: Central Tendency Parameters – Central Position Parameters – Dispersion Measures – Data Trasformation with Encoding – Skewness Parameters –  Frequency Distribution Moments – Kurtosis Parameters
  • Fundamental Notions of Events: Random Experiment – Sample Space – Events – Calculus with Events
  • Combinatorics: Permutations of ν Objects – Arrangements With or Without Repetition of ν Objects Taken μ – Combinations With or Without Repetition of ν Objects Taken μ – Newton’s Binomial
  • The Notion of Probability: Classic, Statistical and Axiomatic Definition of Probability – Properties of Probabilities – Conditional Probability – Independent Events – Total Probability Theorem – Bayes’ Rule
  • Univariate Random Variables: Discrete and Continuous Random Variable – Probability Function and Density Function – Expectation – Cumulative Probability Distribution Function – Variance – Moments of Various Orders – Median and Quantiles – Skewness and Kurtosis – Moment Generator, Generator and Characteristic Function
  • Theoretical Distributions: Bernoulli – Binomial – Geometric – Poisson – Uniform – Exponential – Normal – Lognormal
  • Two-Dimensional Random Variables: Discrete and Continuous Random Variables – Joint Probability Function and Density Function – Independent Random Variables – Mixed Expectation – Cumulative Probability Distribution Function – Marginal Probability Function and Density Function

Teaching Results

This course

  • describes the main products and functions of banks, as well as the risks they undertake in order to contribute to social welfare, using as vehicle their main financial statements,
  • explores bank risk management, including the risks from asymmetric information,
  • explores the multi-faceted interactions between banks, the financial system, governments, central banks and the economy,
  • analyses the private incentives of all players, from bank employees all the way to the top management of the supervisory authorities,
  • stresses the role of information technology and of other forces of change,
  • describes the dynamics of banking crises,
  • highlights the logical underpinnings of the complex institutional framework that governs the operation of banks,
  • uses current economic and financial developments, both domestic and international, to tie the course to the real world.

After completing this course, students are expected to

  • analyse critically banks’ financial statements,
  • understand bank risks and functions,
  • understand the role and dilemmas of the institutional framework,
  • assess the likely impact of changes in the institutional framework and in the economy on bank strategies,
  • combine banking logic with macroeconomics for complete financial analyses.

Skills

  • Decision making
  • Group work
  • Promote free, creative and inductive thinking

Teaching and Learning Methods - Evaluation

Lecture: Ιn Class

Use of Information and Communication Technologies:

Teaching Analysis: 

Activity

Semester Workload
Lectures
50
Group work
25
Practice Exercises that
focus on the application of methodologies
25
Independent Study
50
Total
150

Student Evaluation:

Written final exam (100%) that includes development topics.

Recommended Bibliography

– Recommended Bibliography:

  • Πέτρος Α. Κιόχος και Απόστολος Π. Κιόχος, Στατιστική για τις επιχειρήσεις και την οικονομία, Εκδόσεις Ελένη Κιόχου, Αθήνα 2015.
  • Τάκης Παπαϊωάννου, Εισαγωγή στις Πιθανότητες, Εκδόσεις Σταμούλη, 2000.

– Related scientific journals: