Time to liquidation of SMEs: The predictability of survival models

Ba Hung Nguyen*, Galina Andreeva, Nam Huynh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the most crucial information in predicting firm time to liquidation is, given a firm has survived a certain period, its probability of surviving an arbitrary extended period. To provide updated results on the determinants of firm liquidations, we examine the survival of a large number of SMEs in the UK and follow them from 2004 up to 2016. We then compare the baseline hazard model and its updated hazard models on predicting time-to-liquidation using time-dependent performances, and for the latter one, we experiment with special of stratified bootstrap validation. We analyze the risk of going into liquidation of the UK SMEs from 2004 onwards using a baseline survival model and compare its predictive performance with the discrete survival model. A sample of 67, 262 UK SMEs is employed in survival analysis with company fixed, demographic characteristics and time-varying financial elements. The results first show the significant effects of firm’s demographic characteristics including number of trading addresses, number of directors, number of contacts, and number of subsidiaries. We also further stress on improvement in model accuracy using updated hazard models which utilized on the time-varying nature of firm’s financial variables.

Original languageEnglish
Title of host publicationKnowledge and Systems Sciences
Subtitle of host publication20th International Symposium, KSS 2019, Proceedings
EditorsJian Chen, Van Nam Huynh, Gia-Nhu Nguyen, Xijin Tang
PublisherSpringer
Pages186-200
Number of pages15
ISBN (Electronic)9789811512094
ISBN (Print)9789811512087
DOIs
Publication statusPublished - 1 Nov 2019
Event20th International Symposium on Knowledge and Systems Sciences, KSS 2019 - Da Nang, Viet Nam
Duration: 29 Nov 20191 Dec 2019

Publication series

NameCommunications in Computer and Information Science
Volume1103 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference20th International Symposium on Knowledge and Systems Sciences, KSS 2019
Country/TerritoryViet Nam
CityDa Nang
Period29/11/191/12/19

Keywords / Materials (for Non-textual outputs)

  • credit risk
  • liquidation
  • SMEs
  • survival model
  • time-dependent performance

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