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Are Liquidity and Credit Risk Key Determinants of Corporate Credit Spreads (CCS) in India?


Affiliations
1 Doctoral Scholar, Department of Commerce, Manipal Academy of Higher Education Manipal - 576 104, Karnataka, India
2 Professor (Corresponding Author), Department of Business Administration Manipal University Jaipur - 303 007, Rajasthan, India
3 Doctoral Scholar, Department of Commerce, Manipal Academy of Higher Education, Manipal - 576 104, Karnataka, India

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Purpose : The crumble of the financial markets through the recent crises wobbled precariousness in the corporate credit spreads (CCS) critical for risk management and bond pricing. Against this backdrop, this study investigated the role of liquidity and credit risk on CCS.

Methodology : The study applied three models using a battery of 392 active corporate bonds in India: pooled OLS, fixed effect, and IV-GMM. Data for the research were collected from Bloomberg and analyzed using Stata.

Findings : First, while credit risk did have a role in determining CCS, liquidity holds greater significance as a determining factor. Specifically, there was a 0.9560427 basis point increase in CCS for every basis point increase in bid-ask spread (liquidity). In contrast, CCS increased by 0.3460369 for every basis point increase in credit risk. Second, a negative coefficient for the interaction term between bid-ask spread and credit risk suggested that credit risk was a moderating variable that weakened the relationship between bid-ask spread and CCS.

Practical Implications : The managers should augment their risk management practices to manage liquidity risk better and maintain a higher credit quality to reduce the negative impact of liquidity risk on CCS. Moreover, the findings affirmed that the better the firm’s credibility, the lesser the CCS would be, implying that firms should try to improve their credit ratings.

Originality : The results remained consistent across various regression models, and they held significant implications for the literature concerning the modeling of corporate bond prices.


Keywords

bond pricing, risk management, corporate bonds, GMM, bid-ask spread, emerging market, panel regression

JEL Classification Codes : C230, G10, G11, G12

Paper Submission Date : November 1, 2022 ; Paper sent back for Revision : May 5, 2023 ; Paper Acceptance Date : May 15, 2023 ; Paper Published Online : June 15, 2023

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  • Are Liquidity and Credit Risk Key Determinants of Corporate Credit Spreads (CCS) in India?

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Authors

Lithin B. M.
Doctoral Scholar, Department of Commerce, Manipal Academy of Higher Education Manipal - 576 104, Karnataka, India
Suman Chakraborty
Professor (Corresponding Author), Department of Business Administration Manipal University Jaipur - 303 007, Rajasthan, India
Nikhil M. N.
Doctoral Scholar, Department of Commerce, Manipal Academy of Higher Education, Manipal - 576 104, Karnataka, India

Abstract


Purpose : The crumble of the financial markets through the recent crises wobbled precariousness in the corporate credit spreads (CCS) critical for risk management and bond pricing. Against this backdrop, this study investigated the role of liquidity and credit risk on CCS.

Methodology : The study applied three models using a battery of 392 active corporate bonds in India: pooled OLS, fixed effect, and IV-GMM. Data for the research were collected from Bloomberg and analyzed using Stata.

Findings : First, while credit risk did have a role in determining CCS, liquidity holds greater significance as a determining factor. Specifically, there was a 0.9560427 basis point increase in CCS for every basis point increase in bid-ask spread (liquidity). In contrast, CCS increased by 0.3460369 for every basis point increase in credit risk. Second, a negative coefficient for the interaction term between bid-ask spread and credit risk suggested that credit risk was a moderating variable that weakened the relationship between bid-ask spread and CCS.

Practical Implications : The managers should augment their risk management practices to manage liquidity risk better and maintain a higher credit quality to reduce the negative impact of liquidity risk on CCS. Moreover, the findings affirmed that the better the firm’s credibility, the lesser the CCS would be, implying that firms should try to improve their credit ratings.

Originality : The results remained consistent across various regression models, and they held significant implications for the literature concerning the modeling of corporate bond prices.


Keywords


bond pricing, risk management, corporate bonds, GMM, bid-ask spread, emerging market, panel regression

JEL Classification Codes : C230, G10, G11, G12

Paper Submission Date : November 1, 2022 ; Paper sent back for Revision : May 5, 2023 ; Paper Acceptance Date : May 15, 2023 ; Paper Published Online : June 15, 2023




DOI: https://doi.org/10.17010/ijf%2F2023%2Fv17i6%2F172773