Arbeitspapier

The real-time predictive content of asset price bubbles for macro forecasts

This paper contributes to the debate of whether central banks can \lean against the wind" of emerging stock or house price bubbles. Against this background, the paper evaluates if new advances in real-time bubble detection, as brought forward by Phillips et al. (2011), can timely detect bubble emergences and collapses. Building on simulations, the paper shows that the detection capabilities of all indicators are sensitive to their exact specifications and to the characteristics of the bubbles in the sample. Therefore, the paper suggests a combination approach of different bubble indicators which helps to account for the uncertainty around start and end dates of asset price bubbles. Additionally, the paper then investigates if the individual and combination indicators carry predictive content for inflation and output growth when the real-time availability of all variables is taken into account. It finds that a combination indicator is best suited to uncover the most common stock and house price bubbles in the U.S. and shows that this indicator improves output forecasts.

Language
Englisch

Bibliographic citation
Series: DIW Discussion Papers ; No. 1496

Classification
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Forecasting Models; Simulation Methods
Financial Markets and the Macroeconomy
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Asset Pricing; Trading Volume; Bond Interest Rates
Subject
asset price bubbles
financial stability
leaning-against-the-wind
monetary policy
real-time forecasting
unit root monitoring test

Event
Geistige Schöpfung
(who)
Beckers, Benjamin
Event
Veröffentlichung
(who)
Deutsches Institut für Wirtschaftsforschung (DIW)
(where)
Berlin
(when)
2015

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Beckers, Benjamin
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Time of origin

  • 2015

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