Information Asymmetry and Credit Rating: A Quasi-Natural Experiment from China

2017 ◽  
Author(s):  
Xiaolu Hu ◽  
Haozhi Huang ◽  
Zheyao Pan ◽  
Jing Shi
Keyword(s):  
Information Asymmetry ◽  
Natural Experiment ◽  
Credit Rating

Information asymmetry and credit rating: A quasi-natural experiment from China

2019 ◽  
Vol 106 ◽  
pp. 132-152 ◽  
Author(s):  
Xiaolu Hu ◽  
Haozhi Huang ◽  
Zheyao Pan ◽  
Jing Shi
Keyword(s):  
Information Asymmetry ◽  
Natural Experiment ◽  
Credit Rating

Do Algorithmic Traders Improve Liquidity When Information Asymmetry is High?

2020 ◽  
pp. 2050015
Author(s):  
Archana Jain ◽  
Chinmay Jain ◽  
Revansiddha Basavaraj Khanapure
Keyword(s):  
Financial Markets ◽  
Information Asymmetry ◽  
Natural Experiment ◽  
Equity Markets ◽  
Algorithmic Trading ◽  
Unanswered Question ◽  
Earnings Announcement ◽  
Liquidity Provision ◽  
High Information

Hendershott et al. (2011, Does Algorithmic Trading Improve Liquidity? Journal of Finance 66, 1–33) show that algorithmic traders improve liquidity in equity markets. An equally important and unanswered question is whether they improve liquidity when information asymmetry is high. We use days surrounding earnings announcement as a period of high information asymmetry. First, we follow Hendershott et al. (2011, Does Algorithmic Trading Improve Liquidity? Journal of Finance 66, 1–33) to use introduction of NYSE autoquote as a natural experiment. We find that increased algorithmic trading (AT) as a result of NYSE autoquote does not improve liquidity around earnings announcements. Next, we use trade-to-order volume % and cancel rate as a proxy for algorithmic trading and find that abnormal spreads surrounding the days of earnings announcement are significantly higher for stocks with higher AT. Our findings indicate that algorithmic traders reduces their role of liquidity provision in markets when information asymmetry is high. These findings shed further light on the role of liquidity provision by algorithmic traders in the financial markets.

Part VII International Securities, Including Markets and Clearing Systems, 21 Credit Rating Agencies

2021 ◽  
Author(s):  
Eborall Charlotte
Keyword(s):  
Information Asymmetry ◽  
Credit Rating ◽  
Global Financial Crisis ◽  
Credit Ratings ◽  
The United States ◽  
Credit Rating Agencies ◽  
Rating Agencies ◽  
Market Participants ◽  
The Global Financial Crisis ◽  
Independent Assessment

This chapter concentrates on credit rating agencies (CRAs), which play a key role in financial markets. It explains how CRAs help reduce information asymmetry between investors and issuers by providing an independent assessment of the relative creditworthiness of countries or companies. It also describes how CRA's role has expanded significantly in recent decades with financial globalization, such as the introduction of references to credit ratings in regulations and the embedding by market participants of ratings in their operating procedures, investment decisions, and contracts. This chapter identifies the heavy reliance on CRAs as one of the main contributors to the global financial crisis in 2008. It also talks about the efficacy of CRAs' credit ratings after 2008, in which regulators in the United States (US) and Europe introduced new regulations intended to address the reliability of CRAs' predictions of probability of default.

The Effect of Information Asymmetry and CRA’s Reputation on Bond Yield Spread

2018 ◽  
Vol 26 (2) ◽  
pp. 217-245
Author(s):  
Yun Yeong Jung ◽  
Rae Soo Park
Keyword(s):  
Multivariate Analysis ◽  
Information Asymmetry ◽  
Credit Rating ◽  
Yield Spread ◽  
Rating Data ◽  
Bond Rating ◽  
Empirical Results ◽  
Bond Yield ◽  
The Relationship

This paper investigates the effects of information asymmetry and Credit Rating Agency's reputation on bond yield spread, which is caused by the split bond rating of CRAs. For analysis, We do multivariate analysis, using bond rating and bond yield spread data in Korea from 2004 to 2015. The empirical results are as follows. First, we examines whether information asymmetry affects the bond yield spread. using split rating data. As a result, the information asymmetry measured by split rating variable is significant, which supports the information asymmetry hypothesis. Additionally we can find bond yield spread is decided by negative credit grade rather than positive credit grade under split rating condition. Next, we examines the relationship between the CRA’s reputation and the bond yield spread in case of split rating. Here, samples were divided into full samples and split rating samples. Summarizing the result, both samples are suggest similar result, the bond yield spread is changed depending on the specific CRA’s grading which having conservative rating tendency. Thus, This result suggest information asymmetry caused by split rating and CRA’s reputation measured by CRA’s rating tendency affect bond yield spread in Korea

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