• Medientyp: E-Book; Bericht
  • Titel: Tests for jumps in yield spreads
  • Beteiligte: Winkelmann, Lars [Verfasser:in]; Yao, Wenying [Verfasser:in]
  • Erschienen: Berlin: Freie Universität Berlin, School of Business & Economics, 2021
  • Sprache: Englisch
  • DOI: https://doi.org/10.17169/refubium-32211
  • Schlagwörter: sequential testing ; news announcements ; High-frequency data ; C12 ; break-even inflation ; term spread ; C58 ; E44 ; E43
  • Entstehung:
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  • Beschreibung: This paper develops high-frequency econometric methods to test for jumps in the spread of bond yields. We derive a coherent inference procedure that detects a jump in the yield spread only if at least one of the two underlying bonds displays a jump. We formalize the test as a sequential procedure in the context of an intersection union test in multiple testing and introduce a new bivariate jump test for pre-averaged intra-day returns. In an empirical application involving high-frequency data of U.S. government bonds, we contrast response patterns of term spreads and break-even in ation across monetary policy announcements, in ation, and employment news releases.
  • Zugangsstatus: Freier Zugang