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How to Identify and Forecast Bull and Bear Markets? (replication data)
Because the state of the equity market is latent, several methods have been proposed to identify past and current states of the market and forecast future ones. These methods... -
Factor analysis of permanent and transitory dynamics of the US economy and th...
We analyze dynamics of the permanent and transitory components of the US economic activity and the stock market obtained by multivariate dynamic factor modeling. We capture... -
Stock market expectations of Dutch households (replication data)
Despite its importance for the analysis of life-cycle behavior and, in particular, retirement planning, stock ownership by private households is poorly understood. Among other... -
Stock Market Crash and Expectations of American Households (replication data)
This paper utilizes data on subjective probabilities to study the impact of the stock market crash of 2008 on households' expectations about the returns on the stock market... -
Extreme US stock market fluctuations in the wake of 9/11 (replication data)
We apply extreme value analysis to US sectoral stock indices in order to assess whether tail risk measures like value-at-risk and extremal linkages were significantly altered by... -
Unravelling financial market linkages during crises (replication data)
An empirical model of multiple asset classes across countries is formulated in a latent factor framework. A special feature of the model is that financial market linkages during... -
The emerging market crisis and stock market linkages: further evidence (repli...
This study examines the long-run price relationship and the dynamic price transmission among the USA, Germany, and four major Eastern European emerging stock markets, with... -
A simple framework for analysing bull and bear markets (replication data)
Bull and bear markets are a common way of describing cycles in equity prices. To fully describe such cycles one would need to know the data generating process (DGP) for equity... -
Detecting multiple breaks in financial market volatility dynamics (replicatio...
The paper evaluates the performance of several recently proposed tests for structural breaks in the conditional variance dynamics of asset returns. The tests apply to the class... -
Stochastic volatility models: conditional normality versus heavy-tailed distr...
Most of the empirical applications of the stochastic volatility (SV) model are based on the assumption that the conditional distribution of returns, given the latent volatility...
