Showing 1 - 10 of 14
Persistent link: https://www.econbiz.de/10014253794
This paper provides a novel perspective to the innovation-stock market nexus by examining the predictive relationship between technological shocks and stock market volatility using data over a period of more than 140 years. Utilizing annual patent data for the U.S. and a large set of economies...
Persistent link: https://www.econbiz.de/10014354098
Firstly, we use the Multi-Scale LPPLS Confidence Indicator approach to detectboth positive and negative bubbles at short-, medium- and long-term horizons forthe stock markets of the G7 and the BRICS countries. We were able to detect majorcrashes and rallies in the 12 stock markets over the...
Persistent link: https://www.econbiz.de/10014353907
Persistent link: https://www.econbiz.de/10014432898
Yes, they do. Utilizing a machine-learning technique known as random forests to compute forecasts of realized (good and bad) stock market volatility, we show that incorporating the information in lagged industry returns can help improve out-of sample forecasts of aggregate stock market...
Persistent link: https://www.econbiz.de/10013249490
Persistent link: https://www.econbiz.de/10009660761
This paper applies Markov-switching multifractal (MSM) processes to model and forecast carbon dioxide (CO2) emission price volatility, and compares their forecasting performance to the standard GARCH, fractionally integrated GARCH (FIGARCH) and the two-state Markov-switching GARCH (MS-GARCH)...
Persistent link: https://www.econbiz.de/10011296114
In this paper the authors set out to date-stamp periods of US housing price explosivity for the period 1830–2013. They make use of several robust techniques that allow them to identify such periods by determining when prices start to exhibit explosivity with respect to its past behaviour and...
Persistent link: https://www.econbiz.de/10011812671
In this paper, the authors set out to date-stamp periods of US housing price explosivity for the period 1830-2013. They make use of several robust techniques that allow them to identify such periods by determining when prices start to exhibit explosivity with respect to its past behaviour and...
Persistent link: https://www.econbiz.de/10011674010
This study assesses how fiscal policy affects the dynamics of asset markets, using Bayesian vector autoregressive models. We use sign restrictions to identify government revenue and government spending shocks, while controlling for generic business cycle and monetary policy shocks. In addition...
Persistent link: https://www.econbiz.de/10013036495