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Are Credit Default Swaps a Sideshow? Evidence That Information Flows from Equity to CDS Markets

Published online by Cambridge University Press:  04 August 2015

Jens Hilscher*
Affiliation:
hilscher@brandeis.edu, International Business School, Brandeis University, Waltham, MA 02453, USA
Joshua M. Pollet
Affiliation:
pollet@illinois.edu, College of Business, University of Illinois, Champaign, IL 61820, USA
Mungo Wilson
Affiliation:
mungo.wilson@sbs.ox.ac.uk, Saïd Business School, Oxford University, and Oxford-Man Institute, Oxford OX1 1HP, UK.
*
*Corresponding author: hilscher@brandeis.edu

Abstract

This article provides evidence that equity returns lead credit protection returns at daily and weekly frequencies, whereas credit protection returns do not lead equity returns. Our results indicate that informed traders are primarily active in the equity market rather than the credit default swap (CDS) market. These findings are consistent with standard theories of market selection by informed traders in which market selection is determined partially by transaction costs. We also find that credit protection returns respond more quickly during salient news events (earnings announcements) compared to days with similar equity returns and turnover. This evidence provides support for explanations related to investor inattention.

Type
Research Articles
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2015 

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References

Acharya, V. V., and Johnson, T. C.. “Insider Trading in Credit Derivatives.” Journal of Financial Economics, 84 (2007), 110141.CrossRefGoogle Scholar
Acharya, V. V.; Schaefer, S.; and Zhang, Y.. “Liquidity Risk and Correlation Risk: A Clinical Study of the General Motors and Ford Downgrade of May 2005.” Quarterly Journal of Finance, 5 (2015), 1550006-11550006–51.CrossRefGoogle Scholar
Barber, B., and Odean, T.. “All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors.” Review of Financial Studies, 21 (2008), 785818.CrossRefGoogle Scholar
Berndt, A., and Obreja, I.. “Decomposing European CDS Returns.” Review of Finance, 14 (2010), 189233.Google Scholar
Black, F., and Scholes, M.. “The Pricing of Options and Corporate Liabilities.” Journal of Political Economy, 81 (1973), 637654.CrossRefGoogle Scholar
Blanco, R.; Brennan, S.; and Marsh, I. W.. “An Empirical Analysis of the Dynamic Relation between Investment-Grade Bonds and Credit Default Swaps.” Journal of Finance, 60 (2005), 22552281.CrossRefGoogle Scholar
Chae, J. “Trading Volume, Information Asymmetry, and Timing Information.” Journal of Finance, 60 (2005), 413442.CrossRefGoogle Scholar
Cohen, L., and Frazzini, A.. “Economic Links and Predictable Returns.” Journal of Finance, 63 (2008), 19772011.Google Scholar
Della Vigna, S., and Pollet, J. M.. “Demographics and Industry Returns.” American Economic Review, 97 (2007), 16671702.Google Scholar
Easley, D.; O’Hara, M.; and Srinivas, P. S.. “Option Volume and Stock Prices: Evidence on Where Informed Traders Trade.” Journal of Finance, 53 (1998), 431465.Google Scholar
Frazzini, A., and Lamont, O.. “The Earnings Announcement Premium and Trading Volume.” National Bureau of Economic Research Working Paper No. 13090 (2006).Google Scholar
Geanakoplos, J. “The Leverage Cycle.” Cowles Foundation Discussion Paper, Yale University (2009).Google Scholar
Graham, J. R.; Koski, J. L.; and Loewenstein, U.. “Information Flow and Liquidity around Anticipated and Unanticipated Dividend Announcements.” Journal of Business, 79 (2006), 23012336.CrossRefGoogle Scholar
Han, S., and Zhou, H.. “Effects of Liquidity on the Nondefault Component of Corporate Yield Spreads: Evidence from Intraday Transactions Data.” Finance and Economics Discussion Series, Federal Reserve Board, Washington, DC (2008).Google Scholar
Hendershott, T.; Jones, C. M.; and Menkveld, A. J.. “Does Algorithmic Trading Improve Liquidity?” Journal of Finance, 66 (2011), 133.CrossRefGoogle Scholar
Kapadia, N., and Pu, X.. “Limited Arbitrage between Equity and Credit Markets.” Journal of Financial Economics, 105 (2012), 542564.Google Scholar
Kwan, S. H. “Firm-Specific Information and the Correlation between Individual Stocks and Bonds.” Journal of Financial Economics, 40 (1996), 6380.CrossRefGoogle Scholar
Markit Group Limited. “Markit.com CDS and ABS User Guide Version 12.1.” www.markit.com (2007).Google Scholar
Merton, R. C. “On the Pricing of Corporate Debt: The Risk Structure of Interest Rates.” Journal of Finance, 29 (1974), 449470.Google Scholar
Muravyev, D.; Pearson, N. D.; and Broussard, J. P.. “Is There Price Discovery in Equity Options?” Journal of Financial Economics, 107 (2013), 259283.Google Scholar
Ni, S. X.; Pan, J.; and Poteshman, A. M.. “The Information in Option Volume for Future Volatility.” Journal of Finance, 63 (2007), 10591091.Google Scholar
Norden, L., and Weber, M.. “The Co-Movement of Credit Default Swap, Bond and Stock Markets: An Empirical Analysis.” European Financial Management, 15 (2009), 529562.Google Scholar
Pan, J., and Poteshman, A. M.. “The Information in Option Volume for Future Stock Prices.” Review of Financial Studies, 19 (2006), 871908.Google Scholar
Zhu, H. “An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market.” Journal of Financial Services Research, 29 (2006), 211235.Google Scholar
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