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Does model complexity add value to asset allocation? Evidence from machine le...
This study evaluates the benefits of integrating return forecasts from a variety of machine learning and forecast combination methods into an out-of-sample asset allocation... -
(Un)expected monetary policy shocks and term premia (replication data)
The term structure of interest rates is crucial for the transmission of monetary policy to financial markets and the macroeconomy. Disentangling the impact of monetary policy on... -
Common factors of commodity prices (replication data)
In this paper, we extract latent factors from a large cross-section of commodity prices, including fuel and non-fuel commodities. We decompose each commodity price series into a... -
Individual forecaster perceptions of the persistence of shocks to GDP (replic...
We analyse individual professional forecasters' beliefs concerning the persistence of GDP shocks. Despite substantial apparent heterogeneity in perceptions, with around one half... -
Information gains from using short‐dated options for measuring and forecastin...
We study the gains from using short-dated options for volatility measurement and forecasting. Using option portfolios, we estimate nonparametrically spot volatility under weak... -
Dynamic evaluation of job search assistance (replication data)
This paper evaluates a job search assistance program for unemployed teachers where the assignment to the program is dynamic. We discuss the methodology of estimating dynamic... -
Commodity prices and inflation risk (replication data)
This paper investigates the role of commodity price information when evaluating inflation risk. Using a model averaging approach, we provide strong evidence of in-sample and... -
Encompassing measures of international consumption risk sharing and their lin...
We investigate international consumption risk sharing in a panel of 15 industrial economies over the historical period 1875-2016. By considering a rich empirical...
