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We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We...
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The aim of this paper is to present novel tests for the early causal diagnostic of positive and negative bubbles in the … LPPLS (log-periodic power law singularity) approach successfully diagnoses positive and negative bubbles, constructs … efficient End-of-Bubble signals for all of the well-documented bubbles, and obtains for the first time new statistical evidence …
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We examine the predictive power of market-based indicators over the positive and negative stock market bubbles via an … successfully capture, ex-ante, some of the prominent bubbles across different time scales, such as the Black Monday, Dot-com, and … bubbles across both short and long time horizons, in line with the previous studies suggesting that short sellers have …
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