ANALYZING STRUCTURAL AND MARKET INFLUENCES ON PROFITABILITY IN LISTED COMPANIES OF PAKISTAN

This paper investigates the extent and direction of influence that several variables, liquidity, financial leverage, sales growth, company size, average tax rates, and specifically credit rating, have on the profitability of companies that are listed on the Pakistan Stock Exchange in 2023. In the research, multiple regression analysis is used to establish the extent to which the above factors affect profitability, especially with reference to credit ratings. The study shows that credit ratings and financial leverage have solid and positive relationships with profitability. However, the effects of other market forces are still challenging to determine, and new industry growth rates are not as consistent as may seem. The regression analysis shows that the above independent variables explain a 36.3% variation in Return on Asset (ROA) and a 32.7% variation in Return on Equity (ROE) with a 5% significant level. Although other related studies have considered the course, this study is different in that credit ratings are examined in relation to profitability. The findings endorse conceptual literature conclusions on credit rating and profitability as evidenced in the previous literature. This research is useful to investors, creditors, and firm management who need to assess possible profitability by employing certain financial ratios, especially credit scores. More empirical studies could expand this thinking to unquoted businesses and SMEs in diverse industries.

Authors

Institutions

Publication Details

Journal
Journal of Research in Economics and Finance Management
Published
2024-12-25
DOI
https://doi.org/10.56596/jrefm.v3i2.140
Primary Topic
Working Capital and Financial Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYZING STRUCTURAL AND MARKET INFLUENCES ON PROFITABILITY IN LISTED COMPANIES OF PAKISTAN

Faisal Hashmi, Mirza Adnan Baig, Sadaf Mustafa, Uzma Taslim
Journal of Research in Economics and Finance Management
Working Capital and Financial Performance
article

ANALYZING STRUCTURAL AND MARKET INFLUENCES ON PROFITABILITY IN LISTED COMPANIES OF PAKISTAN

Faisal Hashmi, Mirza Adnan Baig, Sadaf Mustafa, Uzma Taslim
article en

Abstract

This paper investigates the extent and direction of influence that several variables, liquidity, financial leverage, sales growth, company size, average tax rates, and specifically credit rating, have on the profitability of companies that are listed on the Pakistan Stock Exchange in 2023. In the research, multiple regression analysis is used to establish the extent to which the above factors affect profitability, especially with reference to credit ratings. The study shows that credit ratings and financial leverage have solid and positive relationships with profitability. However, the effects of other market forces are still challenging to determine, and new industry growth rates are not as consistent as may seem. The regression analysis shows that the above independent variables explain a 36.3% variation in Return on Asset (ROA) and a 32.7% variation in Return on Equity (ROE) with a 5% significant level. Although other related studies have considered the course, this study is different in that credit ratings are examined in relation to profitability. The findings endorse conceptual literature conclusions on credit rating and profitability as evidenced in the previous literature. This research is useful to investors, creditors, and firm management who need to assess possible profitability by employing certain financial ratios, especially credit scores. More empirical studies could expand this thinking to unquoted businesses and SMEs in diverse industries.

Journal of Research in Economics and Finance ManagementVol. 3(2)
University of Karachi (PK)
Openalex Percentile: Top 59%
Working Capital and Financial Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.