Structural and Evolutionary Patterns of Companies in a Financial Distress Situation

نویسندگان

  • M. I. González-Bravo
  • Arjola Mecaj
چکیده

The present paper studies the evolution of a set of USA firms during the years 1993–2002. The firms that faced a difficult economic and financial situation in 1993 were considered to be in a distress situation. The aim of this study is to explore if the evolution of this situation depends on the initial features of the distress or if it concerns certain firms’ characteristics. If the evolution is independent from the above, the management decisions become crucial in critical times. For the analysis we used a Multidimensional Scaling methodology where the firms are represented in a consensus map according to symptom variables, reaction variables, and recovering variables.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Predicting Financial Distress in Tehran Stock Exchange

Companies incur significant costs from the financial distress. Predicting financial distress will have an important role in preventing bankruptcy. The aim of the present study is to predict the financial distress costs using the Leland and Toft models, during 1996 and 1998. This study examines data relating to 49 companies listed in the Tehran stock exchange collected over ten years from 2005 t...

متن کامل

Predicting Bankruptcy of Companies using Data Mining Models and Comparing the Results with Z Altman Model

One of the issues helping make investment decisions is appropriate tools and models to evaluate financial situation 0f the organization.  By means of these tools, investors can analyze financial situation of the organization and identify financial distress or an ideal condition, they become aware of making decisions to invest in appropriate conditions.  The main objective of this study is to ev...

متن کامل

The Effect of Financial Distress on the Investment Behavior of Companies Listed on Tehran Stock Exchange

The purpose of this study was to determine the effect of financial distress on investment behavior for the years of 2011 to 2016. The statistical population of the research is Tehran Stock Exchange. According to the systematic elimination method, 104 companies have been selected as the statistical sample. In this research, financial distress is independent variable and corporate investmen...

متن کامل

Finding Default Barrier and Optimal Cutoff Rate in KMV Structural Model based on the best Ranking of Companies

According to the adverse consequences that are brought by financial distress for companies, economy and financial –monetary institutions, the use of methods that can predict the occurrence of financial failure and prevent the loss of wealth is of great importance. The major models of credit risk assessment are based on retrospective information and using the methods which use the updated market...

متن کامل

Applying Combined Approach of Sequential Floating Forward Selection and Support Vector Machine to Predict Financial Distress of Listed Companies in Tehran Stock Exchange Market

Objective: Nowadays, financial distress prediction is one of the most important research issues in the field of risk management that has always been interesting to banks, companies, corporations, managers and investors. The main objective of this study is to develop a high performance predictive model and to compare the results with other commonly used models in financial distress prediction M...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • ADS

دوره 2011  شماره 

صفحات  -

تاریخ انتشار 2011