This reply to Cascaldi-Garcia's (2017) comment argues that by using the original code of Kurmann and Otrok (2013) with new data on utilization-adjusted TFP, Cascaldi-Garcia (2017) confounds positive and negative news shocks. With a small modification to the code—how a news shock is signed as positive—we obtain news shock responses consistent with Sims (2016) and Kurmann and Sims (2017) and largely reestablish the results of Kurmann and Otrok (2013).

We adopt a statistical approach to identify the shocks that explain most of the fluctuations of the slope of the term structure of interest rates. We find that one shock can explain the majority of unpredictable movements in the slope. Impulse response functions lead us to interpret this shock as news about future total factor productivity (TFP). By showing that “slope shocks” are essentially “TFP news shocks” we provide a new explanation for the relationship between the slope and macroeconomic fundamentals. Our results also provide a new empirical benchmark for structural models at the intersection of macroeconomics and finance.

The paper investigates the common dynamic properties of business-cycle fluctuations across countries, regions, and the world. We employ a Bayesian dynamic latent factor model to estimate common components in macroeconomic aggregates (output, consumption, and investment) in a 60-country sample covering seven regions of the world. The results indicate that a common world factor is an important source of volatility for aggregates in most countries, providing evidence for a world business cycle. We find that region-specific factors play only a minor role in explaining fluctuations in economic activity. We also document similarities and differences across regions, countries, and aggregates.

We develop a new dynamic factor model to jointly characterize global macroeconomic and financial cycles and the spillovers between them. The model decomposes macroeconomic cycles into the part driven by global and country-specific macro factors and the part driven by spillovers from financial variables. We consider cycles in macroeconomic aggregates (output, consumption, and investment) and financial variables (equity and house prices, and interest rates). The global macro factor plays a major role in explaining G-7 business cycles, but there are also discernible spillovers from equity and house price shocks onto macroeconomic aggregates, at least over the past two decades, accounting for up to 17 % of the variation in global business cycle fluctuations. These spillovers operate mainly through the global macro factor rather than the country-specific macro factors (i.e., these spillovers affect business cycles in all G-7 economies), and are stronger for output and investment fluctuations and more prominent in the period leading up to and following the global financial crisis. We find weaker evidence of spillovers from macroeconomic cycles to financial variables, perhaps reflecting the predictive power of global financial markets.