Price fluctuations
In Hungarian

 

 The links lead to an earlier version of the lectures/practices. The current ones will be published in Teams

 

week

Lectures (Thu 16:00)

Practices (Thu, 14:00)

1 Repetition of probability theory: limit theorems, stable distributions, domain of attraction (March 2) R introduction, simulations, tools for goodness of fit (March 2)
R code    Shiny applet
2 Multivariate stable distributions. Extreme-value distributions, max-domains of attraction (March 9)  Calculations with characteristic functions, stable distributions (March 9)
R code
3 Parameter estimation, confidence intervals in extreme-value  models, the effect of serial dependence (March 16) Bivariate stable, extreme-value distributions (March 16)
R code
4 Multivariate extreme-value distributions , Peaks over threshold models  in one dimension (March 23) Extreme-value distributions (contd), (March 23)
R code
5 Multivariate POT models, point processes, Hill estimator  (March 30) Bivariate extreme value models (March 30)  
 Project to be solved
R code Bivariate extreme-value models (theory) 
6 Bootstrap  (April 6) Peaks over threshold models  (April 6)
R code Theory
7 Elliptic distributions,copulas with applications (April 13)  Bootstrap (April 13)
R code
8 Goodness of fit for copulas, problems in higher dimensions (April 20) Copulas (April 20)
R code  Theory
9 Random matrices, portfolio optimisation and instability, risk measures (Apr 27) Copulas (contd), Vine copulas (April 27)
R code
11 Portfolio optimisation and instability (cont.), ARCH-GARCH models. (May 4) Portfolio optimisation and instability:  R code (May 4)
Eötvös day Eötvös day
12 The crisis in 2007-2009 and its effect, stress testing, machine learning (May 18) Random matrices,  sample exam (May 18) R code
14 Legislational questions. Guest professor: Miklós Véber (Morgan Stanley,  May  25) written exam (May 25)