Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer ...

Using a large news corpus and machine learning algorithms we investigate the role played by the media in the expectations formation process of households, and conclude that the news topics media report on are good predictors ...

In this paper we use U.S. real-time vintage data and produce combined density nowcasts for quarterly GDP growth from a system of three commonly used model classes. The density nowcasts are combined in two steps. First, ...

Norsk økonomi går godt. En viktig grunn til dette er petroleumsnæringens bidrag til økt produktivitet i resten av økonomien. Men flere varsellamper blinker. Den senere tid har produktivitetsveksten vært avtagende. Høyere ...

We decompose a major business newspaper according to the topics it writes about, and show that the topics have predictive power for key economic variables and, especially noteworthy, for asset prices. Unexpected ...

We analyze the importance of demand from emerging and developed economies as drivers of the real price of oil over the last two decades. Using a factor-augmented vector autoregressive (FAVAR) model that allows us to ...