On Estimation of Point-in-Time Loss Given Default: A Comparative Study

Thesis title: On Estimation of Point-in-Time Loss Given Default: A Comparative Study
Author: Kuchta, Michal
Thesis type: Diploma thesis
Supervisor: Janíčko, Martin
Opponents: Miklánek, Tomáš
Thesis language: English
Abstract:
This Thesis deals with the new provisioning standard IFRS9, in the specific case of LGD modelling and proposes a set of robust approaches to meet the Standard's requirements. It compares the scenario generation through conditional forecasting in DSGE with the proposed pioneering methodology endogenizing scenario paths and their probabilities in Bayesian Markov-switching VAR. It develops a range of recovery rate models using survival analysis and principal component regression. Sub-results are then integrated to derive single probability-weighted ECL estimate.
Keywords: scenarios; IFRS9; DSGE; Bayesian Markov-switching VAR; forecasting; severity; LGD
Thesis title: On Estimation of Point-in-Time Loss Given Default: A Comparative Study
Author: Kuchta, Michal
Thesis type: Diplomová práce
Supervisor: Janíčko, Martin
Opponents: Miklánek, Tomáš
Thesis language: English
Abstract:
Táto práca pojednáva o IFRS9, novom štandarde na výpočet opravných položiek, a to špecificky v kontexte LGD. Zároveň navrhuje viacero robustných prístupov k uchopeniu nového štandardu. Porovnáva tvorbu scenárov pomocov podmienených predpovedí v DSGE modeli, s novo navrhnutou metodológiou endogenizujúcou scenáre a ich pravdepodobnosti pomocou Bayesovského Markov-switching VAR modelu. Následne sa venuje vývoju modelov miery návratnosti (recovery rate) pomocou analýzy prežitia a regresii hlavných komponentov. Pravdepodobnosťou vážené očakávané kreditné straty sú nakoniec spočítané integráciou parciálnych výsledkov.
Keywords: predpovede; severita; LGD; scenáre; IFRS9; DSGE; Bayesovský Markov-switching VAR

Information about study

Study programme: Ekonomie a hospodářská správa/Ekonomická analýza
Type of study programme: Magisterský studijní program
Assigned degree: Ing.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Economics
Department: Department of Economics

Information on submission and defense

Date of assignment: 2. 7. 2018
Date of submission: 17. 12. 2018
Date of defense: 1. 2. 2019
Identifier in the InSIS system: https://insis.vse.cz/zp/66369/podrobnosti

Files for download

    Last update: