Low positive GDP growth has been interpreted as evidence that the economy may be "stalling", implying that low growth is a strong predictor of future recessions. We examine the empirical evidence for stalling based on kernel density estimates, probit estimates and Markov switching models....

The ability of term spread to forecast U.S. output growth could be improved by two ways: (i) Combining with the Harrod-Domar variable - net saving as a percentage of gross national income - that used to proxy for aggregate supply; and (ii) Using a system of simultaneous equations, in which U.S....

To examine whether including economic data on other countries could improve the forecast of U.S. GDP growth, we construct a large data set of 77 countries representing over 90 percent of global GDP. Our benchmark model is a dynamic factor model using U.S. data only, which we extend to include...

Since the Great Recession in 2007-09, U.S. real GDP has failed to return to its previously projected path, a phenomenon widely associated with secular stagnation. We investigate whether this stagnation was due to hysteresis effects from the Great Recession, a persistent negative output gap...

We propose a long-term forecast model based on linear growth and mean reversion characteristics in the U.S. stock market. It can forecast future returns of the stock market, Treasury yield, and gold price. The “jubilee” name comes from its optimal trend-following window of 45 years. The...

Using Bayesian tests for a structural break at an unknown break date, we search for a volatility reduction within the post-war sample for the growth rates of U.S. aggregate and disaggregate real GDP. We find that the growth rate of aggregate real GDP has been less volatile since the early...

This study employs a vector autoregressive (VAR) model to analyse how oil price shocks affect macroeconomic fundamentals in emerging economies. Findings from existing literature remain inconclusive how macroeconomic variables fare towards shocks, especially in emerging economies. The objective...