Download Micro and Macro Determinants of Financial Distress:

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
Micro and Macro Determinants of Financial Distress
Ray McNamara*, Keith Duncan* and Simone Kelly**
One criticism of failure prediction models is the bias resulting
from pooling failure data over years when economic conditions
might influence the failure of a firm. This research incorporates
both macroeconomic variables and firm specific variables in
explaining corporate failure. The results suggest that including
economic variables improve the explanation of failure by ten
percent. The economic variables included in the analysis were
one-year lag in change in GDP, a two-year lag in interest rates,
a one-year lag in the share price index, and a one-year lag in
corporate profits. Economic variables were identified using a
principal component analysis of key economic variables.
____________________________________
*
Associate Professor
School of Business
Bond University
**
Assistant Professor
School of Business
Bond University
Correspondence to:
Associate Professor Ray McNamara.
Email: [email protected]