This paper assess how priorities of the IMF's membership have evolved over the past two decades, by using text mining techniques on a unique dataset combining IMFC communiques and constituency statements. Our results reveal significant variation in priorities across time and constituencies....

We examine the existence of physical and transition climate risk premia in euro area equity markets. To do so, we develop two novel physical and transition risk indicators, based on text analysis, which are then used to gauge the presence of climate risk premia. Results suggest that climate risk...

I estimate the policy stance on the monetary policy rate decision, which stands for the intensity of the committee’s consensus to adjust the policy rate, with the minutes of the Bank of Korea from 1999 to May 2018. The policy stance is estimated more directly without relying on external...

We propose a new method for measuring gender and ethnic stereotypes in news reports. By combining computer vision and natural language processing tools, the method allows us to analyze both images and text as well as the interaction between the two. We apply this approach to over 2 million web...

We document the occurrence of process claims in granted U.S. patents over the last century. Using novel data on the type of independent patent claims, we show an increase in the annual share of process claims of about 25 percentage points (from below 10% in 1920). This rise in process intensity...

The Security and Exchange Commission (SEC) has considered climate change as a risk issue since 2010. Several emission disclosure initiatives exist aimed at informing investors about the financial risks associated with a zero or low carbon transition. Stricter regulations, particularly in a few...