The impact of credit rating information on disclosure quality

2021 ◽  
Author(s):  
Yung‐Ling Chi ◽  
Sean Flynn
Keyword(s):  
Credit Rating ◽  
Disclosure Quality ◽  
The Impact ◽  
Rating Information

Role of Credit Rating in determining Capital structure: Evidence from Non-Financial sector of Pakistan

2020 ◽  
Vol 38 (3) ◽  
Author(s):  
Shoaib Ali ◽  
Imran Yousaf ◽  
Muhammad Naveed
Keyword(s):  
Capital Structure ◽  
Credit Rating ◽  
Least Square ◽  
Annual Data ◽  
Leverage Ratio ◽  
Financial Decisions ◽  
Financial Firms ◽  
High Level ◽  
The Impact ◽  
The Capital Structure

This paper aims to examine the impact of external credit ratings on the financial decisions of the firms in Pakistan.  This study uses the annual data of 70 non-financial firms for the period 2012-2018. It uses ordinary least square (OLS) to estimate the impact of credit rating on capital structure. The results show that rated firm has a high level of leverage. Moreover, Profitability and tanagability are also found to be a significantly negative determinant of the capital structure, whereas, size of the firm has a significant positive relationship with the capital structure of the firm.  Besides, there exists a non-linear relationship between the credit rating and the capital structure. The rated firms have higher leverage as compared to the non-rated firms. The high and low rated firms have a low level of leverage, while mid rated firms have a higher leverage ratio. The finding of the study have practical implications for the manager; they can have easier access to the financial market by just having a credit rating no matter high or low. Policymakers must stress upon the rating agencies to keep improving themselves as their rating severs as the measure to judge the creditworthiness of the firm by both the investors and management as well.

The Impact of the Audit from Big Auditors on the Credit Rating of the Financially Distressed Firms in Korea

2018 ◽  
Vol 36 (1) ◽  
pp. 87-113
Author(s):  
Young Jun Lee ◽  
Byoung Ho Kim
Keyword(s):  
Credit Rating ◽  
Distressed Firms ◽  
Financially Distressed ◽  
The Impact

The Impact of Credit Rating Announcements on Corporates' Credit Default Swap Spreads - Are There Intra-Industry Effects Observable?

2012 ◽  
Author(s):  
Hans-Peter Burghof ◽  
Philipp Johannes Schneider ◽  
Andreas Wengner
Keyword(s):  
Credit Rating ◽  
Credit Default Swap ◽  
Industry Effects ◽  
Credit Default ◽  
Default Swap ◽  
The Impact ◽  
Swap Spreads

scholarly journals Impacto dos Ratings de crédito nas ações de empresas de capital aberto no Brasil

2017 ◽  
Vol 16 (2) ◽  
pp. 573-602
Author(s):  
Rafaela Augusta Cunha Silveira ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino
Keyword(s):  
Stock Prices ◽  
Credit Rating ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Final Analysis ◽  
Share Prices ◽  
New Information ◽  
Agency Issues ◽  
Study Methodology ◽  
The Impact

Resumo O rating de crédito expressa uma opinião, por intermédio de escalas, sobre a qualidade do crédito de empresas, utilizado-a como medida de avaliação de risco no mercado. Agências de classificação de risco de crédito, como a Moody’s, divulgam os ratings que atribuem às empresas. Primeiramente, essas agências emitem o new rating, que representa o primeiro rating da companhia, e, posteriormente, essa emissão pode apresentar variações, denominadas upgrades e downgrades, relativas a boas e más notícias, respectivamente. Além disso, os ratings podem ser colocados em uma Watchlist quando, em breve, pode haver uma mudança do rating para downgrade ou para upgrade. O objetivo com este estudo consistiu, diante do que foi tratado, em abordar o impacto do rating de crédito sobre os preços das ações de empresas listadas na bolsa de valores brasileira. Para alcançar o objetivo proposto, foi analisada uma amostra de 44 empresas comercializadas na BM&FBovespa e 65 ratings nacionais de longo prazo emitidos pela Moody’s entre 2000 e 2015. Utilizou-se a metodologia de estudo de eventos, com os retornos normais calculados pelo modelo de retornos ajustados ao risco e ao mercado, e o Teste-F e o Teste-T para verificar a significância dos resultados. As análises finais evidenciaram que os preços das ações não são afetados de forma significativa pelas divulgações dos new ratings, downgrades, upgrades, on watch – possible downgrades e on watch – possible upgrades em nenhuma janela do evento, indicando que os ratings, para a amostra analisada, não trazem novas informações ao mercado.Palavras-chave: Ações. Rating. Estudo de eventos. Retornos anormais. Abstract Credit ratings are used as a mean to investors get new information on the companies by reducing the information asymmetry in the market. Thus, the rating is an important mean of business information with investors, enabling share prices relating to companies react to it. Branches of credit rating as Moody's, disclose the ratings they assign to companies. First, the agency issues the new rating, which represents the company's first rating, then this issue may vary, upgrades and downgrades calls relating to good and bad news respectively. In addition, the ratings could be placed in a Watchlist when, soon there may be a change to the rating downgrade or upgrade. The purpose of this study was to discuss the impact that the credit rating has on stock prices of companies listed on the Brazilian stock exchange. For a sample of 44 companies traded on BM&FBovespa and 65 long-term national ratings issued by Moody's between 2000 and 2015, we used the event study methodology, with normal returns calculated by the model of returns adjusted for risk and market the F-Test and T-Test to test the significance of the results. The final analysis showed that stock prices are not significantly affected by the disclosures of new ratings, downgrades, upgrades, on watch – possible downgrades and on watch – possible upgrades in any event window, indicating that the ratings do not bring new information to the market.Keywords: Stocks. Rating. Event studies. Abnormal returns.

scholarly journals A study of the impact of information disclosure quality on the efficiency of corporate investment—Based on civil engineering listed companies

2020 ◽  
Vol 198 ◽  
pp. 03032
Author(s):  
Liying Zhang
Keyword(s):  
Life Cycle ◽  
Civil Engineering ◽  
Listed Companies ◽  
Investment Efficiency ◽  
Disclosure Quality ◽  
High Quality ◽  
Life Cycle Stages ◽  
Quality Disclosure ◽  
The Impact

Most of the existing studies on the impact of disclosure quality of listed companies on the investment efficiency of enterprises are based on the static level, and the article investigates the evolution of disclosure quality on the investment efficiency of enterprises from the dynamic level by dividing the life cycle of enterprises. Taking the data of Shenzhen civil engineering companies from 2013-2017 as the research sample, it uses multiple regression analysis to empirically test the impact of disclosure quality of listed companies on the investment efficiency of enterprises at different life cycle stages. The results show that when no distinction is made between life cycle stages, high quality disclosure can significantly inhibit the inefficient investment behavior of firms; in the growth and maturity samples, high quality disclosure can significantly inhibit underinvestment and overinvestment; in the recessionary samples, high quality disclosure can significantly inhibit underinvestment and has no significant effect on overinvestment.

scholarly journals Does the Financial Status of Company Affect the Bond Credit Rating? ——Empirical Evidence from China's Shanghai and Shenzhen Stock Exchanges

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuyan Cai
Keyword(s):  
Credit Rating ◽  
Credit Ratings ◽  
Corporate Bonds ◽  
Principal Component ◽  
Corporate Bond ◽  
Stock Exchanges ◽  
Analysis Method ◽  
Financial Status ◽  
Financial Variables ◽  
The Impact

This article takes the companies that publicly issued corporate bonds on the Shanghai and Shenzhen Stock Exchanges from 2006 to 2018 as the research objects selecting six aspects that comprehensively reflect the 17 financial variables in 6 aspects: profitability, operating ability, bond repayment ability, development ability, cash flow and market value of the company. Principal component analysis method and factor analysis method are used to extract the principal factors of these financial indicator variables. That is how an ordered multi-classification Logistic regression model is constructed to test the impact of the Shanghai and Shenzhen Stock Exchanges’ financial status on the corporate bond credit rating. It turns out that the financial status of the Shanghai and Shenzhen Stock Exchanges have an important impact on the credit rating of corporate bonds. The financial status has a greater impact on corporate bonds with credit ratings of A- and AA-, while it has a smaller impact on corporate bonds with credit ratings above AA. The results of this article can help individual and institutional investors prevent risks from investing.

scholarly journals EFFECT OF CREDIT RATING ON CAPITAL STRUCTURE: A STUDY ON NON-FINANCIAL FIRMS IN PAKISTAN

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Keyword(s):  
Capital Structure ◽  
Credit Rating ◽  
Stock Exchange ◽  
Credit Ratings ◽  
Least Square ◽  
Statistical Tool ◽  
Ordinary Least Square ◽  
Optimal Capital Structure ◽  
Financial Firms ◽  
The Impact

Purpose- Aim of this study was to investigate whether the credit rating is an important determinant other than the firm's characteristic to obtain optimal capital structure focusing on the research hypothesis that the firms with higher credit along with the other factors (FTOA, ROA and Size) tend to have more debt in their capital structure of firms rated by P?CR? and Karachi Stock Exchange (KSE). Methodology/Sample- For this research, sample size of 48 observations (3 years data of 16 firms) was taken on the basis of convenience sampling. Results obtained by using Ordinary Least Square Model (OLS) as statistical tool to test the hypothesis Findings- Analysis clearly suggested that credit ratings do have an impact on firm's capital structure. It was concluded that firms with higher credit ratings along with other factors (FTOA, ROA and Size) do not tend to have more debt in their capital structure. Implications- Outcomes of this research might help investors, debtors and other stakeholders of the firms (rated by PACRA) to understand the impact of credit rating on firm's debt ratio and the overall dynamics and mechanism of capital structure.

Empirical analyses of dynamic categorical data

2015 ◽  
Author(s):  
◽  
Cai Hu
Keyword(s):  
Health Status ◽  
Social Security ◽  
Credit Rating ◽  
Cox Proportional Hazards Model ◽  
Retirement Decision ◽  
Current Health ◽  
Current Health Status ◽  
Before And After ◽  
The Impact ◽  
Health Deterioration

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Essay 1 analyzes the married couples' retirement decision using the PSID data. I employ the proportional hazard model to examine the factors that influence the retirement decision of husband and wife, and focus on examining the correlation of husband and wife's retirement status. This essay finds that an individual is more likely to retire if his or her spouse has retired. The retirement hazard is higher if an individual is in worse health. The worse health status also affects the spouse's retirement hazard, but the spouse effect is asymmetry. With the wife in worse health, the husband's retirement hazard decreases. With the husband in worse health, the wife's retirement hazard increases. I also find that the greater the social security income or pension, the higher the retirement hazard. But for the spouse effect, the husband's social security income or pension has impact on the retirement schedule of his wife, while I find no significant impact of wife's retirement benefit on husband's retirement timing. Essay 2 explores the transitions of health status using PSID data from 1984 to 2011 with the ordered logit model and the Cox proportional hazards model. The result shows that the impact of current health status on future health status is relatively large. A worse current health status would lead to a smaller probability for health deterioration, but it is less likely to be in a good health status in the future. There is strong health persistence. Social economics factors' impact on latent health status is also significant, although the magnitude is relatively small. Higher income level and education level would decrease the likelihood of health deterioration, and individuals with high income and high education would be more likely to be in better health status. When comparing different occupations, white-collar job is less associated with health deterioration, and this type of worker is more likely to be in better health status. Essay 3 applies the competing risks model to estimate the movement of corporate credit ratings using WRDS COMPUSTAT data. The credit rating variable is the Standard and Poor's long-term domestic issuer credit rating. The explanatory variables contain measures of leverage, liquidity, current profitability and future profitability. I estimate the impacts of these financial ratios on the upward and downward of credit rating. In addition, I estimate samples before and after the 2008 subprime crisis to study the influence of financial crisis on the credit rating. The result shows that firms with a higher liquidity are more likely to be upgraded and less likely to be downgraded. The impact of liquidity is weaker after the crisis. I find that when the current level of profitability increases, the firm is more likely to be upgraded than to be downgraded. The effect of current profitability is larger after the crisis. Firms with higher leverage ratio are more likely to be upgraded and less likely to be downgraded. And the effect of leverage is similar before and after the crisis.

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