This document presents a comparison of capital structures between German and US firms. It discusses hypotheses around the relationship between short-term liabilities and profitability. The authors analyze secondary data from 125,000 German manufacturing firms between 1988-2000 and 15,000 US manufacturing firms between 1984-2004. They use multivariate linear regression models to examine how short-term debt ratios impact return on assets as the measure of profitability. The results provide insights into differences in capital structures between the bank-based German financial system and the market-based US system.
2. Presenters:
M. Zubair (21)
Shadab Mustafa (11)
Haroon adil (24)
3. Scheme of Presentation:
Part-I : The Article (introduction) (Presenter: Zubair)
Part-II : Hypothesis (Presenter: Shadab)
Part-III : Results (Presenter: Haroon)
Part-IV : Question/ Answer Session (The Group)
4. PART 1: INTRODUCTION
Authors:
Christopher F Baum
i. US citizen
ii. Boston college and DIW Berlin
iii. Specialty in STATA
iv. 80 Articles and 02 books
Dorothea Schafer
i. German citizen
ii. DIW Berlin
iii. Research director financial market
iv. 51 Articles and 02 books
Oleksandr Talavera
i. German citizen
ii. DIW Berlin
iii. Specialty in Econometrics
iv. 80 Articles
5. INTRODUCTION
The Topic Provides Information about:
Capital structure
Debt maturity structure
Short term liabilities and profitability
Liability maturity structure has an impact of firms
performance.
6. INTRODUCTION
The Topic Provides Information about:
Firms rely more on short term debt are more profitable.
Financial Systems : bank-based and market-based.
Data used -- Manufacturing firms only.
7. Hypothesis and their relationship
Hypothesis Presented By: Relationship Depend. In depend.
Variable Variable
Contracting-cost Myers (1977)
NEGETIVE ROA STL
Hypothesis
Signalling Diamond(1991)
NEGETIVE ROA STL
hypothesis
Tax hypothesis Brick and Ravid
POSITIVE ROA STL
(1985)
8. Data and Sample
German data:
Taken from BUNDESBANK.(State bank)
125000 manufacturing firms.
From 1988 to 2000
US data:
Taken from COMPUSTAT. (research firm)
15000 manufacturing firms.
From 1984 to 2004.
10. OUTLIERS:
Below 1% and above 99%
SIZE OF FIRMS
Small Below 25%
Large Above 75% and 99%
11. Model Information
Model Used: Multivariate Linear Regression
DPD, PAM.
Data Type: Secondary
Data Source: External(Documentary)/Secondary
Time Horizon: Longitudinal
19. Reviewers Notes:
An international research
New concept introduced in the field
No information is provided about data source in the
article.
Unbiased and convincing
No information about sample period of data.