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Thesis topic proposal
 
Judit Sági
Examination of the asset composition and the income generation capability of enterprises, using complex ratio analysis and bankruptcy models. Investigation of the impact

THESIS TOPIC PROPOSAL

Institute: Budapest Business University
business and management
Doctoral School of Entrepreneurship and Business

Thesis supervisor: Judit Sági
Location of studies (in Hungarian): Budapest Business School
Abbreviation of location of studies: BGE


Description of the research topic:

Examination of the asset composition and the income generation capability of enterprises, using complex ratio analysis and bankruptcy models. Investigation of the impact of external shocks to the profitability of enterprises.
The first objective of the research is to analyse the asset composition and the income generation capability of companies with the help of complex ratio analysis and bankruptcy models. The second objective is to identify the impact of external shocks on corporate profitability. The proposed research questions are as follows:
- How do bankruptcy forecasting models predict the financial strength of businesses?
- Are businesses that perform better with predictability of survival according to models able to adopt to financial constraints and crises as well?
- How can contributing factors to entrepreneurial value be measured?
Expected output / result of the research: forecasting the financial stability of enterprises (development of forecasting models), supporting well-founded management decisions, and improving the resilience of enterprises to external shocks. The classic Altman Z bankruptcy model has been tested many times in the international literature (both in the decade of its publication and during the financial crisis). The model includes only accounting indicators in the scope of the study; however, a rethinking of the concept of corporate value in modern times (goodwill, social capital, intellectual capital, etc.) is suggested.
At the skill level, the student is familiar with multivariate discriminant analysis, logistic regression and neural network models used within credit assessment procedures.

Required language skills: angol

Deadline for application: 2021-08-31


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
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