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Discussion Paper
Corporate Bond Issuers' Swap Exposure to Rising Interest Rates
United States corporate bond issuance has been elevated in recent years relative to historical standards, reflecting in part accommodative financing conditions at historically low rates.
Working Paper
Integrating Prediction and Attribution to Classify News
Recent modeling developments have created tradeoffs between attribution-based models, models that rely on causal relationships, and “pure prediction models†such as neural networks. While forecasters have historically favored one technology or the other based on comfort or loyalty to a particular paradigm, in domains with many observations and predictors such as textual analysis, the tradeoffs between attribution and prediction have become too large to ignore. We document these tradeoffs in the context of relabeling 27 million Thomson Reuters news articles published between 1996 ...
Working Paper
How sensitive is the economy to large interest rate increases? Evidence from the taper tantrum
The “taper tantrum” of 2013 represents one of the largest monetary policy shocks since the 1980s. During this episode, long-term interest rates spiked 100 basis points—a move unintentionally induced by policymakers. However, this had no observable negative effect on the overall U.S. economy. Output, employment, and other important variables, all performed either in line with or better than consensus forecasts, often improving considerably relative to their earlier trends. We conclude that, from low levels, a 100 basis point increase in long-term interest rates is probably too small to ...
Discussion Paper
Which Market Indicators Best Forecast Recessions?
In this note, we use econometric methods to infer which economic and financial indicators reliably identify and predict recessions.
Discussion Paper
How much has Dollar Appreciation Affected U.S. Corporate Profits?
U.S. corporate profits fell about 1.4 percent in the fourth quarter of last year and, based on estimates from the Bureau of Economic Analysis (BEA), declined a further 5.2 percent in the first quarter of 2015.
Discussion Paper
Using Big Data in Finance: Example of Sentiment-Extraction from News Articles
There is much discussion and research in finance on using "big data" to understand market "sentiment."
Working Paper
News versus Sentiment : Predicting Stock Returns from News Stories
This paper uses a dataset of more than 900,000 news stories to test whether news can predict stock returns. We measure sentiment with a proprietary Thomson-Reuters neural network. We find that daily news predicts stock returns for only 1 to 2 days, confirming previous research. Weekly news, however, predicts stock returns for one quarter. Positive news stories increase stock returns quickly, but negative stories have a long delayed reaction. Much of the delayed response to news occurs around the subsequent earnings announcement.
Discussion Paper
Using Generative AI Models to Understand FOMC Monetary Policy Discussions
In an era increasingly shaped by artificial intelligence (AI), the public’s understanding of economic policy may be filtered through the lens of generative AI models (also called large language models or LLMs). Generative AI models offer the promise of quickly ingesting and interpreting large amounts of textual information.