Characterizing the financial cycle: Evidence from a frequency domain analysis


Abstract:

This paper introduces parametric spectrum estimation to the analysis of financial cycles. Our contribution is to formally test properties of financial cycles and to characterize their international interaction in the frequency domain. Existing work argues that the financial cycle is considerably longer in duration and larger in amplitude than the business cycle and that its distinguishing features became more pronounced over time. Also, a global cycle, being driven by US monetary policy, is said to be behind national financial cycles. We provide strong statistical evidence for the US and slightly weaker evidence for the UK validating the hypothesized features of the national financial cycle. In Germany, however, the financial cycle is much less visible. Similarly, a US-driven global financial cycle significantly affects national cycles in the UK but not in Germany.

Año de publicación:

2019

Keywords:

  • Bootstrapping inference
  • Financial cycle
  • business cycle
  • Indirect spectrum estimation

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Finanzas
  • Finanzas

Áreas temáticas:

  • Economía financiera
  • Finanzas públicas