Repository logoCyprus University of Technology
Log In(current)
Ελληνικά
English
  1. Home
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
  4. Alternative bankruptcy prediction models using option-pricing theory
  • Details

Alternative bankruptcy prediction models using option-pricing theory

Journal
Journal of Banking & Finance
Date Issued
July 2013
Author(s)
Charitou, Andreas  
Dionysiou, Dionysia  
Lambertides, Neophytos  
Trigeorgis, Lenos  
DOI
10.1016/j.jbankfin.2013.01.020
Abstract
We examine the empirical properties of the theoretical Black-Scholes-Merton (BSM) bankruptcy model. We evaluate the predictive ability of various existing modifications of the BSM model and extend prior studies by estimating volatility directly from market-observable returns on firm value. We show that parsimonious models using our direct market-observable volatility estimate perform better than alternative, more sophisticated, models. Our findings suggest the adoption of simpler modelling approaches relying on market data when implementing the BSM model.
Subjects

Bankruptcy prediction...

Option-pricing theory...

Volatility estimation...

Explore by
  • Collections
  • Research Outputs
  • Researchers
  • Faculty & Departments
  • Theses
  • Patents
  • Projects
  • Journals
  • Conferences
Useful Links
  • Researcher Portfolio Guide
  • Researcher Profile
  • Create an ORCID ID
  • CUT Open Access Author Fund
  • ETDS Guide
Copyright Policies

Use Sherpa/Romeo to find publisher copyright policies

Go
Go
  • SPARC Author Addendum Engine
  • National Open Access Policy in Cyprus
Deposit your work to Ktisis
  • Self-archiving. Please sign in to Ktisis.
  • Email your work to:
    library.dspace@cut.ac.cy
  • Contact your subject librarian

Member of

OpenAIREre3dataOpenDOARCOREDART
Cyprus University of Technology
Library and
Information
Services

Copyright © 2022 - Library and Information Services Feedback - Built with DSpace-CRIS - 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
COAR NotifyCOAR Notify