• Media type: E-Book
  • Title: Cross-Sectional Predictability of Corporate Bond Returns
  • Contributor: Lin, Hai [Author]; Wu, Chunchi [Author]; Zhou, Guofu [Author]
  • Published: [S.l.]: SSRN, [2020]
  • Extent: 1 Online-Ressource (68 p)
  • Language: English
  • DOI: 10.2139/ssrn.2872382
  • Identifier:
  • Keywords: trend signals ; moving averages ; cross-sectional predictability ; corporate bond returns
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 12, 2019 erstellt
  • Description: While there are hundreds of cross-sectional predictors in the equity market, whether corporate bonds are predictable in the cross-section is an open question. This paper proposes to use trend signals in returns, which exploit short-, intermediate- and long-term trends simultaneously, to predict future bond returns. We provide new evidence that there is statistically significant and economically important predictability in the cross-section of corporate bond returns. This predictability is robust to various controls and stronger for lower-rated bonds. The pronounced bond market anomaly uncovered in this study joins a host of equity anomalies that challenges existing rational pricing models
  • Access State: Open Access