Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Financial and stock market variables as predictors of management buyouts

View through CrossRef
Abstract This paper investigates whether publicly held firms which change to private ownership through management buyouts (ex‐public firms) possess characteristics prior to the change which differentiate them from firms which remain publicly owned. The financial characteristics of ex‐public firms for the year immediately prior to going private were analyzed. A multivariate framework was developed to determine which attributes best distinguished firms going private via management buyouts from similar firms not going private. A discriminant function was developed using seven ratios: (1) concentration of ownership, (2) cash flow to net worth, (3) cash flow to total assets, (4) price/earnings ratio, (5) price/book value ratio, (6) book value of depreciable assets in relation to original costs, and (7) dividend yield. The model demonstrated a classification accuracy of 77.8 percent for the original sample and 81.4 percent in a hold‐out sample validation. These findings imply that financial characteristics alone provide a means by which firms going private via management buyouts can be separated from others. Therefore one can argue that, regardless of the stated motive for going private, financial characteristics either are explicit decision variables or directly reflect non‐financial reasons for management buyouts.
Title: Financial and stock market variables as predictors of management buyouts
Description:
Abstract This paper investigates whether publicly held firms which change to private ownership through management buyouts (ex‐public firms) possess characteristics prior to the change which differentiate them from firms which remain publicly owned.
The financial characteristics of ex‐public firms for the year immediately prior to going private were analyzed.
A multivariate framework was developed to determine which attributes best distinguished firms going private via management buyouts from similar firms not going private.
A discriminant function was developed using seven ratios: (1) concentration of ownership, (2) cash flow to net worth, (3) cash flow to total assets, (4) price/earnings ratio, (5) price/book value ratio, (6) book value of depreciable assets in relation to original costs, and (7) dividend yield.
The model demonstrated a classification accuracy of 77.
8 percent for the original sample and 81.
4 percent in a hold‐out sample validation.
These findings imply that financial characteristics alone provide a means by which firms going private via management buyouts can be separated from others.
Therefore one can argue that, regardless of the stated motive for going private, financial characteristics either are explicit decision variables or directly reflect non‐financial reasons for management buyouts.

Related Results

Stock Prediction Using Machine Learning Algorithms
Stock Prediction Using Machine Learning Algorithms
In the recent times, the stock markets have emerged as one of the top investment destinations for individual and retail investors due to the lure of huge profits that are possible ...
Analyzing Stock Market Trends with Time Series Analysis
Analyzing Stock Market Trends with Time Series Analysis
The stock market is a vital component of modern economies, serving as a mechanism for companies to raise capital and for investors to participate in the growth of those companies. ...
FINANCIAL DEEPENING, STOCK MARKET RETURNS AND LIQUIDITY MANAGEMENT IN NIGERIA
FINANCIAL DEEPENING, STOCK MARKET RETURNS AND LIQUIDITY MANAGEMENT IN NIGERIA
The capital market is an engine room of economic growth but the extent to which financial deepening influences this institution (capital market) that spur economic advancement of t...
Buyouts: A Primer
Buyouts: A Primer
This paper provides an introduction to buyouts and the academic literature about them. Buyouts are initiated by “buyout funds”, which are limited partnerships raised from mostly in...
The dynamic relationship between exchange rates and stock market trends in Tanzania
The dynamic relationship between exchange rates and stock market trends in Tanzania
The purpose of this study was to analyse the impact of the exchange rate on stock market prices in Tanzania. The study used Stock Index Prices data of all firms listed at the Dar e...
FINANCIAL MEDIATION ON THE STOCK MARKET
FINANCIAL MEDIATION ON THE STOCK MARKET
Introduction. Financial intermediaries are a large group of participants who are able to ensure the effective functioning of the stock market and intermediary relationship between ...

Back to Top