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News sentiment, credit spreads, and information asymmetry

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  • Yang, Shanxiang
  • Liu, Zhechen
  • Wang, Xinjie

Abstract

This paper examines how the sentiment of firm-specific news affects CDS spreads conditional on the degree of information asymmetry. Using a large set of news releases, we document a strong negative relationship between the sentiment of firm-specific news and CDS spreads. More importantly, consistent with the role of public news in reducing information asymmetry, we find evidence that the relation between news sentiment and CDS spreads is stronger for firms with higher information asymmetry. Furthermore, the relation is stronger for news with negative sentiment and during the 2008 financial crisis. Our results are robust to alternative sentiment measures.

Suggested Citation

  • Yang, Shanxiang & Liu, Zhechen & Wang, Xinjie, 2020. "News sentiment, credit spreads, and information asymmetry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:ecofin:v:52:y:2020:i:c:s1062940820300760
    DOI: 10.1016/j.najef.2020.101179
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    1. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    2. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2005. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2213-2253, October.
    3. Liebmann, Michael & Orlov, Alexei G. & Neumann, Dirk, 2016. "The tone of financial news and the perceptions of stock and CDS traders," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 159-175.
    4. Bajo, Emanuele & Raimondo, Carlo, 2017. "Media sentiment and IPO underpricing," Journal of Corporate Finance, Elsevier, vol. 46(C), pages 139-153.
    5. Dang, Tung Lam & Moshirian, Fariborz & Zhang, Bohui, 2015. "Commonality in news around the world," Journal of Financial Economics, Elsevier, vol. 116(1), pages 82-110.
    6. Calomiris, Charles W. & Mamaysky, Harry, 2019. "How news and its context drive risk and returns around the world," Journal of Financial Economics, Elsevier, vol. 133(2), pages 299-336.
    7. Dan Givoly & Carla Hayn & Sharon Katz, 2017. "The changing relevance of accounting information to debt holders over time," Review of Accounting Studies, Springer, vol. 22(1), pages 64-108, March.
    8. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    9. Roll, Richard, 1984. "Orange Juice and Weather," American Economic Review, American Economic Association, vol. 74(5), pages 861-880, December.
    10. Brian J. Bushee & John E. Core & Wayne Guay & Sophia J.W. Hamm, 2010. "The Role of the Business Press as an Information Intermediary," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 1-19, March.
    11. Ericsson, Jan & Jacobs, Kris & Oviedo, Rodolfo, 2009. "The Determinants of Credit Default Swap Premia," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 109-132, February.
    12. Jack Bao & Jun Pan & Jiang Wang, 2011. "The Illiquidity of Corporate Bonds," Journal of Finance, American Finance Association, vol. 66(3), pages 911-946, June.
    13. Paul C. Tetlock, 2010. "Does Public Financial News Resolve Asymmetric Information?," Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3520-3557.
    14. Dion Bongaerts & Frank De Jong & Joost Driessen, 2011. "Derivative Pricing with Liquidity Risk: Theory and Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 66(1), pages 203-240, February.
    15. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    16. Lee, Jongsub & Naranjo, Andy & Velioglu, Guner, 2018. "When do CDS spreads lead? Rating events, private entities, and firm-specific information flows," Journal of Financial Economics, Elsevier, vol. 130(3), pages 556-578.
    17. Tsai, Feng-Tse & Lu, Hsin-Min & Hung, Mao-Wei, 2016. "The impact of news articles and corporate disclosure on credit risk valuation," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 100-116.
    18. Smales, Lee A., 2014. "News sentiment and the investor fear gauge," Finance Research Letters, Elsevier, vol. 11(2), pages 122-130.
    19. Benjamin Yibin Zhang & Hao Zhou & Haibin Zhu, 2009. "Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms," Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5099-5131, December.
    20. Azi Ben-Rephael & Zhi Da & Ryan D. Israelsen, 2017. "It Depends on Where You Search: Institutional Investor Attention and Underreaction to News," Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3009-3047.
    21. Edwin J. Elton & Martin J. Gruber & Deepak Agrawal & Christopher Mann, 2001. "Explaining the Rate Spread on Corporate Bonds," Journal of Finance, American Finance Association, vol. 56(1), pages 247-277, February.
    22. Friewald, Nils & Jankowitsch, Rainer & Subrahmanyam, Marti G., 2012. "Illiquidity or credit deterioration: A study of liquidity in the US corporate bond market during financial crises," Journal of Financial Economics, Elsevier, vol. 105(1), pages 18-36.
    23. Alexander Hillert & Heiko Jacobs & Sebastian Müller, 2014. "Media Makes Momentum," Review of Financial Studies, Society for Financial Studies, vol. 27(12), pages 3467-3501.
    24. David E Allen & Michael McAleer & Abhay K Singh, 2017. "An entropy-based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 677-692, February.
    25. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    26. Brandt, Michael W. & Gao, Lin, 2019. "Macro fundamentals or geopolitical events? A textual analysis of news events for crude oil," Journal of Empirical Finance, Elsevier, vol. 51(C), pages 64-94.
    27. Murray Carlson & Ali Lazrak, 2010. "Leverage Choice and Credit Spreads when Managers Risk Shift," Journal of Finance, American Finance Association, vol. 65(6), pages 2323-2362, December.
    28. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    29. Neuhierl, Andreas & Scherbina, Anna & Schlusche, Bernd, 2013. "Market Reaction to Corporate Press Releases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1207-1240, August.
    30. Peter Klibanoff & Owen Lamont & Thierry A. Wizman, 1998. "Investor Reaction to Salient News in Closed-End Country Funds," Journal of Finance, American Finance Association, vol. 53(2), pages 673-699, April.
    31. Acharya, Viral V. & Johnson, Timothy C., 2007. "Insider trading in credit derivatives," Journal of Financial Economics, Elsevier, vol. 84(1), pages 110-141, April.
    32. Matthias W. Uhl, 2014. "Reuters Sentiment and Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 15(4), pages 287-298, October.
    33. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    34. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    35. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 211-235, June.
    36. Bai, Jennie & Wu, Liuren, 2016. "Anchoring Credit Default Swap Spreads to Firm Fundamentals," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(5), pages 1521-1543, October.
    37. Oehmke, Martin & Zawadowski, Adam, 2016. "The anatomy of the CDS market," LSE Research Online Documents on Economics 118964, London School of Economics and Political Science, LSE Library.
    38. Smales, Lee A., 2014. "News sentiment in the gold futures market," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 275-286.
    39. Engelberg, Joseph E. & Reed, Adam V. & Ringgenberg, Matthew C., 2012. "How are shorts informed?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 260-278.
    40. Arora, Navneet & Gandhi, Priyank & Longstaff, Francis A., 2012. "Counterparty credit risk and the credit default swap market," Journal of Financial Economics, Elsevier, vol. 103(2), pages 280-293.
    41. He, Yan & Wang, Junbo & Wei, K.C. John, 2011. "Do bond rating changes affect the information asymmetry of stock trading?," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 103-116, January.
    42. Brian M. Weller, 2018. "Does Algorithmic Trading Reduce Information Acquisition?," Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2184-2226.
    43. Pengjie Gao & Christopher A. Parsons & Jianfeng Shen, 2018. "Global Relation between Financial Distress and Equity Returns," Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 239-277.
    44. Jiaxing You & Bohui Zhang & Le Zhang, 2018. "Who Captures the Power of the Pen?," Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 43-96.
    45. K.J. Martijn Cremers & Joost Driessen & Pascal Maenhout, 2008. "Explaining the Level of Credit Spreads: Option-Implied Jump Risk Premia in a Firm Value Model," Review of Financial Studies, Society for Financial Studies, vol. 21(5), pages 2209-2242, September.
    46. Jing-Zhi Huang & Ming Huang, 2012. "How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk?," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 2(2), pages 153-202.
    47. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    48. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    49. Lee A. Smales, 2016. "Time-varying relationship of news sentiment, implied volatility and stock returns," Applied Economics, Taylor & Francis Journals, vol. 48(51), pages 4942-4960, November.
    50. Martin Oehmke & Adam Zawadowski, 2017. "The Anatomy of the CDS Market," Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 80-119.
    51. Roman Kräussl & Elizaveta Mirgorodskaya, 2017. "Media, sentiment and market performance in the long run," The European Journal of Finance, Taylor & Francis Journals, vol. 23(11), pages 1059-1082, September.
    52. Ali Lazrak & Murray Carlson, 2010. "Leverage Choice and Credit Spreads when Managers Risk Shift," Post-Print hal-00585953, HAL.
    53. Long Chen & Pierre Collin-Dufresne & Robert S. Goldstein, 2009. "On the Relation Between the Credit Spread Puzzle and the Equity Premium Puzzle," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3367-3409, September.
    54. Qiu, Jiaping & Yu, Fan, 2012. "Endogenous liquidity in credit derivatives," Journal of Financial Economics, Elsevier, vol. 103(3), pages 611-631.
    55. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    56. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    57. Alex Boulatov & Thomas J. George, 2013. "Hidden and Displayed Liquidity in Securities Markets with Informed Liquidity Providers," Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 2096-2137.
    58. Corò, Filippo & Dufour, Alfonso & Varotto, Simone, 2013. "Credit and liquidity components of corporate CDS spreads," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5511-5525.
    59. Roberto Blanco & Simon Brennan & Ian W. Marsh, 2005. "An Empirical Analysis of the Dynamic Relation between Investment‐Grade Bonds and Credit Default Swaps," Journal of Finance, American Finance Association, vol. 60(5), pages 2255-2281, October.
    60. Smales, Lee A., 2015. "Time-variation in the impact of news sentiment," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 40-50.
    61. Jacob Boudoukh & Ronen Feldman & Shimon Kogan & Matthew Richardson, 2019. "Information, Trading, and Volatility: Evidence from Firm-Specific News," Review of Financial Studies, Society for Financial Studies, vol. 32(3), pages 992-1033.
    62. Nan Hu & Ling Liu & Lu Zhu, 2018. "Credit default swap spreads and annual report readability," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 591-621, February.
    63. Shi, Yanlin & Liu, Wai-Man & Ho, Kin-Yip, 2016. "Public news arrival and the idiosyncratic volatility puzzle," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 159-172.
    64. Tzu‐Ting Chiu & Yuyan Guan & Jeong‐Bon Kim, 2018. "The Effect of Risk Factor Disclosures on the Pricing of Credit Default Swaps," Contemporary Accounting Research, John Wiley & Sons, vol. 35(4), pages 2191-2224, December.
    65. Gur Huberman & Tomer Regev, 2001. "Contagious Speculation and a Cure for Cancer: A Nonevent that Made Stock Prices Soar," Journal of Finance, American Finance Association, vol. 56(1), pages 387-396, February.
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    More about this item

    Keywords

    Credit default swap; Credit risk; News sentiment; RavenPack; Institutional investors;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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