Essays on banking valuation

Abstract

The topic of this Ph.D. thesis is about equity valuation of banks. Specifically, we employ the Price-to-Book (PB) ratio of banks and it is defined as the ratio of market value of equity over the book value of equity. We find the determinants of the PB ratio according to fundamental valuation and we estimate that relationship with modern econometric tools. First, we derive the 3D model of Bertsatos and Sakellaris (2016, Economics Letters) for banks’ equity valuation. We focus on co-integration and error correction with the ARDL (autoregressive distributed lag) models. These models account for the estimation of both long-run and short-run coefficients. Next, we extend the 3D model in terms of empirical application, model specification and estimation techniques. Finally, we present a series of extensions of the famous bounds testing procedure of Pesaran, Shin and Smith (2001, Journal of Applied Econometrics) in both time-series and panels.

All items in National Archive of Phd theses are protected by copyright.

DOI
10.12681/eadd/47159
Handle URL
http://hdl.handle.net/10442/hedi/47159
ND
47159
Alternative title
Δοκίμια στην αποτίμηση τραπεζών
Author
Bertsatos, Georgios (Father's name: Charalampos)
Date
2020
Degree Grantor
Athens University Economics and Business (AUEB)
Committee members
Σακελλάρης Πλούταρχος
Κυριαζίδου Αικατερίνη
Παλυβός Θεόδωρος
Δενδραμής Ιωάννης
Λουρή Ελένη
Παγκράτης Σπυρίδων
Τσιώνας Ευθύμιος
Discipline
Social SciencesEconomics and Business ➨ Finance
Social SciencesEconomics and Business ➨ Econometrics
Keywords
Banks; PB valuation; Bounds testing; Co-integration; Error correction
Country
Greece
Language
English
Description
279 σ., tbls., fig., ch.
Rights and terms of use
Το έργο παρέχεται υπό τους όρους της δημόσιας άδειας του νομικού προσώπου Creative Commons Corporation:
Usage statistics
VIEWS
Concern the unique Ph.D. Thesis' views for the period 07/2018 - 07/2023.
Source: Google Analytics.
ONLINE READER
Concern the online reader's opening for the period 07/2018 - 07/2023.
Source: Google Analytics.
DOWNLOADS
Concern all downloads of this Ph.D. Thesis' digital file.
Source: National Archive of Ph.D. Theses.
USERS
Concern all registered users of National Archive of Ph.D. Theses who have interacted with this Ph.D. Thesis. Mostly, it concerns downloads.
Source: National Archive of Ph.D. Theses.
Related items (based on users' visits)