0000000000858037

AUTHOR

Laurent Ferrara

showing 2 related works from this author

Forecasting US Growth During the Great Recession: Is the Financial Volatility the Missing Ingredient?

2012

The Great Recession endured by the main industrialized countries during the period 2008-2009, in the wake of the financial and banking crisis, has pointed out the major role of the financial sector on macroeconomic fluctuations. In this respect, many researchers have started to reconsider the linkages between financial and macroeconomic areas. In this paper, we evaluate the leading role of the daily volatility of two major financial variables, namely commodity and stock prices, in their ability to anticipate the output growth. For this purpose, we propose an extended MIDAS model that allows the forecasting of the quarterly output growth rate using exogenous variables sampled at various high…

MacroeconomicsIndustrial productionEconomicsFinancial volatilityVolatility (finance)Global recessionDeveloped countryGross domestic productStock (geology)Great recessionSSRN Electronic Journal
researchProduct

Nowcasting Global Economic Growth: A Factor-Augmented Mixed-Frequency Approach

2014

Facing several economic and financial uncertainties, assessing accurately global economic conditions is a great challenge for economists. The International Monetary Fund proposes within its periodic World Economic Outlook report a measure of the global GDP annual growth, that is often considered as the benchmark nowcast by macroeconomists. In this paper, we put forward an alternative approach to provide monthly nowcasts of the annual global growth rate. Our approach builds on a Factor-Augmented MIxed DAta Sampling (FA-MIDAS) model that enables (i) to account for a large monthly database including various countries and sectors of the global economy and (ii) to nowcast a low-frequency macroec…

Variable (computer science)Mixed frequencyEconomyNowcastingBenchmark (surveying)EconomicsEconometricsWorld Economic OutlookInternational monetary fundAnnual growth %Mixed-data samplingSSRN Electronic Journal
researchProduct