Reaching for Yield and the Cross Section of Bond Returns

Published Online:https://doi.org/10.1287/mnsc.2023.4920

References

  • Acharya V, Naqvi H (2019) On reaching for yield and the coexistence of bubbles and negative bubbles. J. Financial Intermed. 38:1–10.CrossrefGoogle Scholar
  • Ambrose BW, Cai KN, Helwege J (2008) Forced selling of fallen angels. J. Fixed Income 18:72–85.CrossrefGoogle Scholar
  • Ammer J, Claessens S, Tabova A, Wroblewski C (2018) Searching for yield abroad: Risk-taking through foreign investment in U.S. bonds. BIS Working Paper No. 687, Basel, Switzerland.Google Scholar
  • Bai J, Bali TG, Wen Q (2019) Common risk factors in the cross-section of corporate bond returns. J. Financial Econom. 131:619–642.CrossrefGoogle Scholar
  • Bali TG, Goyal A, Huang D, Jiang F, Wen Q (2020) Predicting corporate bond returns: Merton meets machine learning. Working Paper No. 3686164, Georgetown McDonough School of Business Research, Washington, DC.Google Scholar
  • Bali TG, Subrahmanyam A, Wen Q (2021) Long-term reversals in the corporate bond market. J. Financial Econom. 139(2):656–677.Google Scholar
  • Bao J, Pan J, Wang J (2011) The illiquidity of corporate bonds. J. Finance 66:911–946.CrossrefGoogle Scholar
  • Bao J, Chen J, Hou K, Lu L (2015) Prices and volatilities in the corporate bond market. Fisher College of Business Working Paper No. 2015-03-18.Google Scholar
  • Bartram SM, Grinblatt M, Nozawa Y (2020) Book-to-market, mispricing, and the cross-section of corporate bond returns. NBER Working Paper No. 27655, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Baghai R, Becker B, Pitschner S (2020) The use of credit ratings in financial markets. Swedish House of Finance Research Paper No. 18-13, Stockholm.Google Scholar
  • Becker B, Ivashina V (2015) Reaching for yield in the bond market. J. Finance 70:1863–1902.CrossrefGoogle Scholar
  • Berndt A, Helwege J (2018) How does low for long impact credit risk premia? Working paper, Australian National University, Canberra, Australia.Google Scholar
  • Bessembinder H, Kahle KM, Maxwell WF, Xu D (2009) Measuring abnormal bond performance. Rev. Financ. Stud. 22:4219–4258.CrossrefGoogle Scholar
  • Bordalo P, Gennaioli N, Shleifer A (2012) Salience theory of choice under risk. Quart. J. Econom. 127:1243–1285.CrossrefGoogle Scholar
  • Campbell J, Sigalov R (2020) Portfolio choice with sustainable spending: A model of reaching for yield. Working Paper, Harvard University, Cambridge, MA.Google Scholar
  • Cao J, Goyal A, Xiao X, Zhan X (2023) Implied volatility changes and corporate bond returns. Management Sci. 69:1375–1397.Google Scholar
  • Chernenko S, Sunderam A (2012) The real consequences of market segmentation. Rev. Financial Stud. 25:2041–2069.CrossrefGoogle Scholar
  • Choi J, Kim Y (2018) Anomalies and market (dis)integration. J. Monet. Econom. 100:16–34.CrossrefGoogle Scholar
  • Choi J, Kronlund M (2018) Reaching for yield in corporate bond mutual funds. Rev. Financial Stud. 31:1930–1965.CrossrefGoogle Scholar
  • Choi J, Shachar O, Shin SS (2019) Dealer liquidity provision and the breakdown of the law of one price: Evidence from the CDS-bond basis. Management Sci. 65:4100–4122.LinkGoogle Scholar
  • Choi J, Hoseinzade S, Shin SS, Tehranian H (2020) Corporate bond mutual funds and asset fire sales. J. Financial Econom. 138:432–457.CrossrefGoogle Scholar
  • Chordia T, Goyal A, Nozawa Y, Subrahmanyam A, Tong Q (2017) Are capital market anomalies common to equity and corporate bond markets? An empirical investigation. J. Financial Quant. Anal. 52:1301–1342.CrossrefGoogle Scholar
  • Chung KH, Wang J, Wu C (2019) Volatility and the cross-section of corporate bond returns. J. Financial Econom. 133:397–417.CrossrefGoogle Scholar
  • Cici G, Gibson S, Gibson S (2017) Explaining and benchmarking corporate bond returns. Working paper, University of Kansas, Lawrence, KS.Google Scholar
  • Collin-Dufresne P, Goldstein R, Martin S (2001) The determinants of credit spread changes. J. Finance. 56:2177–2207.CrossrefGoogle Scholar
  • Cornaggia J, Cornaggia KJ (2013) Estimating the costs of issuer-paid credit ratings. Rev. Financial Stud. 26:2229–2269.CrossrefGoogle Scholar
  • Da Z, Gao P, Jagannathan R (2011) Impatient trading, liquidity provision, and stock selection by mutual funds. Rev. Financial Stud. 24:675–720.CrossrefGoogle Scholar
  • Daniel K, Garlappi L, Xiao K (2020) Monetary policy and reaching for income. Working paper, Columbia University, New York.Google Scholar
  • Di Maggio M, Kacperczyk M (2017) The unintended consequences of the zero lower bound policy. J. Financial Econom. 123:59–80.CrossrefGoogle Scholar
  • Dick-Nielsen J (2009) Liquidity biases in TRACE. J. Fixed Income 19:43–55.CrossrefGoogle Scholar
  • Dick-Nielsen J (2014) How to clean enhanced TRACE data. Working paper, Copenhagen Business School, Copenhagen.Google Scholar
  • Dimson E (1979) Risk measurement when shares are subject to infrequent trading. J. Financial Econom. 7:197–226.CrossrefGoogle Scholar
  • Drechsler I, Savov A, Schnabl P (2018) A model of monetary policy and risk premia. J. Finance 73:317–373.CrossrefGoogle Scholar
  • Driscoll J, Kraay A (1998) Consistent covariance matrix estimation with spatially dependent panel data. Rev. Econom. Stat. 80:549–560.CrossrefGoogle Scholar
  • Elkamhi R, Chanik J, Nozawa Y (2023) A one-factor model of corporate bond premia. Management Sci. Forthcoming.Google Scholar
  • Ellul A, Jotikasthira C, Lundblad CT (2011) Regulatory pressure and fire sales in the corporate bond market. J. Financial Econom. 101:596–620.CrossrefGoogle Scholar
  • Fama EF, French KR (1993) Common risk factors in the returns on stocks and bonds. J. Finance Econom. 33:3–56.CrossrefGoogle Scholar
  • Feroli M, Kashyap AK, Schoenholtz KL, Shin HS (2014) Market tantrums and monetary policy. Working paper, University of Chicago, Chicago.Google Scholar
  • Frazzini A, Pedersen LH (2014) Betting against beta. J. Financial Econom. 111:1–25.CrossrefGoogle Scholar
  • Friewald N, Nagler F (2016) Dealer Inventory and the cross-section of corporate bond returns. Working paper, Bocconi University, Milan, Italy.Google Scholar
  • Gagliardini P, Ossola E, Scaillet O (2019) A diagnostic criterion for approximate factor structure. J. Econometrics 212:503–521.CrossrefGoogle Scholar
  • Gebhardt WR, Hvidkjaer S, Swaminathan B (2005a) The cross-section of expected corporate bond returns: Betas or characteristics? J. Financial Econom. 75:85–114.CrossrefGoogle Scholar
  • Gebhardt WR, Hvidkjaer S, Swaminathan B (2005b) Stock and bond market interaction: Does momentum spill over? J. Financial Econom. 75:651–690.CrossrefGoogle Scholar
  • Hanson SG, Stein JC (2015) Monetary policy and long-term real rates. J. Financial Econom. 115:429–448.CrossrefGoogle Scholar
  • He Z, Kelly B, Manela A (2017) Intermediary asset pricing: New evidence from many asset classes. J. Financial Econom. 126:1–35.CrossrefGoogle Scholar
  • He Z, Khorrami P, Song Z (2022) Commonality in credit spread changes: Dealer inventory and intermediary distress. Rev. Financial Stud. 35:4630–4673.Google Scholar
  • Huang J-Z, Huang M (2012) How much of the corporate-treasury yield spread is due to credit risk? Rev. Asset Pricing Stud. 2:153–202.CrossrefGoogle Scholar
  • Iannotta G, Pennacchi G, Santos JAC (2018) Ratings-based regulation and systematic risk incentives. Rev. Financial Stud. 32:1374–1415.CrossrefGoogle Scholar
  • Jegadeesh N, Titman S (1993) Returns to buying winners and selling losers: Implications for stock market efficiency. J. Finance 48:65–91.CrossrefGoogle Scholar
  • Jiménez G, Ongena S, Peydró JL, Saurina J (2014) Hazardous times for monetary policy: What do twenty-three million bank loans say about the effects of monetary policy on credit risk-taking? Econometrica 82:463–505.CrossrefGoogle Scholar
  • Jostova G, Nikolova S, Philipov A, Stahel CW (2013) Momentum in corporate bond returns. Rev. Financ. Stud. 26:1649–1693.CrossrefGoogle Scholar
  • Kelly B, Palhares D, Pruitt S (2023) Modeling corporate bond returns. J. Finance 78:1967–2008.Google Scholar
  • Koijen RSJ, Yogo M (2019) A demand system approach to asset pricing. J. Political Econom. 127:1475–1515.CrossrefGoogle Scholar
  • Krishnamurthy A, Vissing-Jorgensen A (2011) The effects of quantitative easing on interest rates: Channels and implications for policy. Brookings Pap. Econ. Act. 43:215–287.CrossrefGoogle Scholar
  • Krishnamurthy A, Vissing-Jorgensen A (2013) The ins and outs of LSAPs. Kansas City Federal Reserve Symposium on Global Dimensions of Unconventional Monetary Policy, 57–111.Google Scholar
  • Lian C, Ma Y (2018) Low interest rates and investor behavior: A behavioral perspective. 62nd Economic Conference at the Federal Reserve Bank of Boston, Boston.Google Scholar
  • Lian C, Ma Y, Wang C (2019) Low interest rates and risk taking: Evidence from individual investment decisions. Rev. Financial Stud. 32:2107–2148.CrossrefGoogle Scholar
  • Lin H, Wang J, Wu C (2011) Liquidity risk and the cross-section of expected corporate bond returns. J. Financial Econom. 99:628–650.CrossrefGoogle Scholar
  • Longstaff FA, Mithal S, Neis E (2005) Corporate yield spreads: Default risk or liquidity? New evidence from the credit default swap market. J. Finance 60:2213–2253.CrossrefGoogle Scholar
  • Morris S, Shin HS 2015, Risk-taking channel of monetary policy: A global game approach. Working paper, Princeton University, Princeton, NJ.Google Scholar
  • Newey WK, West KD (1987) Hypothesis testing with efficient method of moments estimation. Internat. Econom. Rev. 28:777–787.CrossrefGoogle Scholar
  • Nozawa Y (2017) What drives the cross-section of credit spreads? A variance decomposition approach. J. Finance 72:2045–2072.CrossrefGoogle Scholar
  • Rajan RG (2006) Has financial development made the world riskier? Eur. Financial Management 12:499–533.CrossrefGoogle Scholar
  • Scholes M, Williams J (1977) Estimating betas from nonsynchronous data. J. Financial Econom. 5:309–327.CrossrefGoogle Scholar
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