This study assesses World Bank (WB) forecasts for growth in real gross domestic product (GDP) and its subcomponents during the global financial crisis of 2008 and the consequent Great Recession in 2009. Several have examined macroeconomic forecasts for advanced economies conducted by...

We simulate a simplified version of the price process including bubbles and crashes proposed in Kreuser and Sornette (2018). The price process is defined as a geometric random walk combined with jumps modelled by separate, discrete distributions associated with positive (and negative) bubbles....

The goal of this paper is to estimate the impact of the 2008 and 2020 economic crises on the employment in Spain. We perform a counterfactual analysis, combining intervention (interrupted time series) analysis and conditional forecasting to estimate a “crisis-free” scenario. These...

A series of standard and penalized logistic regression models is used for modeling and forecasting Great Recession and COVID-19 recession in the US. These two recessions are scrutinized by taking a close look at the movement of five chosen predictors themselves and their regression coefficients...

This paper develops a two-step estimation methodology that allows us to apply catastrophe theory to stock market returns with time-varying volatility and to model stock market crashes. In the first step, we utilize high-frequency data to estimate daily realized volatility from returns. Then, we...