Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-switching vector autoregressive model

Beatrice D. Simo-Kengne, Mehmet Balcilar, Rangan Gupta, Monique Reid, Goodness C. Aye

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

This paper examines asymmetries in the impact of monetary policy on the middle segment of the South African housing market from 1966:M2 to 2011:M12. We use Markov-switching vector autoregressive (MS-VAR) model in which parameters change according to the phase of the housing cycle. The results suggest that monetary policy is not neutral as house price growth decreases substantially with a contractionary monetary policy. We find that the impact of monetary policy is larger in bear regime than in bull regime; indicating the role of information asymmetry in reinforcing the financial constraint of economic agents. As expected, monetary policy reaction to a positive house price shock is found to be stronger in the bull regime. This suggests that the central bank reacts more in bull regime in order to prevent potential crisis related to the subsequent bust in house prices bubbles which are more prominent in bull markets. These results substantiate important asymmetries in the dynamics of house prices in relation to monetary policy, vindicating the advantages of generating regime dependent impulse response functions.

Original languageEnglish
Pages (from-to)161-171
Number of pages11
JournalEconomic Modelling
Volume32
Issue number1
DOIs
Publication statusPublished - May 2013
Externally publishedYes

Keywords

  • House prices
  • Monetary policy
  • Regime switching

ASJC Scopus subject areas

  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-switching vector autoregressive model'. Together they form a unique fingerprint.

Cite this