Change search
ReferencesLink to record
Permanent link

Direct link
Estimating Companies’ Survival in Financial Crisis: Using the Cox Proportional Hazards Model
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This master thesis is aimed towards answering the question What is the contribution from a company’s sector with regards to its survival of a financial crisis? with the sub question Can we use survival analysis on financial data to answer this?. Thus survival analysis is used to answer our main question which is seldom used on financial data. This is interesting since it will study how well survival analysis can be used on financial data at the same time as it will evaluate if all companies experiences a financial crisis in the same way. The dataset consists of all companies traded on the Swedish stock market during 2008. The results show that the survival method is very suitable the data that is used. The sector a company operated in has a significant effect. However the power is to low too give any indication of specific differences between the different sectors. Further on it is found that the group of smallest companies had much better survival than larger companies. 

Place, publisher, year, edition, pages
2014. , 77 p.
Keyword [en]
Survival Analysis, Survival Data, Time to Event, 2008 Financial Crisis, Swedish Stock Market
National Category
Probability Theory and Statistics
URN: urn:nbn:se:uu:diva-225982OAI: diva2:723216
Subject / course
Educational program
Master Programme in Statistics
Available from: 2014-06-24 Created: 2014-06-10 Last updated: 2014-06-24Bibliographically approved

Open Access in DiVA

Estimating_Companies’_Survival_in_Financial_Crisis_Niklas_Andersson(889 kB)1401 downloads
File information
File name FULLTEXT01.pdfFile size 889 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Statistics
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 1401 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 440 hits
ReferencesLink to record
Permanent link

Direct link