It takes the average reader and 47 minutes to read Mining the Gap: Extracting Firms’ Inflation Expectations From Earnings Calls by Silvia Albrizio
Assuming a reading speed of 250 words per minute. Learn more
Using a novel approach involving natural language processing (NLP) algorithms, we construct a new cross-country index of firms' inflation expectations from earnings call transcripts. Our index has a high correlation with existing survey-based measures of firms' inflation expectations, it is robust to external validation tests and is built using a new method that outperforms other NLP algorithms. In an application of our index to United States, we uncover some facts related to firm's inflation expectations. We show that higher expected inflation translates into future inflation. Going into the firms level dimension of our index, we show departures from a rational framework in firms' inflation expectations and that firms' attention to the central enhances monetary policy effectiveness.
Mining the Gap: Extracting Firms’ Inflation Expectations From Earnings Calls by Silvia Albrizio is 46 pages long, and a total of 11,776 words.
This makes it 16% the length of the average book. It also has 14% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 4 minutes to read Mining the Gap: Extracting Firms’ Inflation Expectations From Earnings Calls aloud.
Mining the Gap: Extracting Firms’ Inflation Expectations From Earnings Calls is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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