We use daily Internet search volume from millions of households to reveal market-level sentiment. By aggregating the volume of queries related to household concerns (e.g., "recession," "unemployment," and "bankruptcy"), we construct a Financial and Economic Attitudes Revealed by Search (FEARS) index as a new measure of investor sentiment. Between 2004 and 2011, we find FEARS (i) predict short-term return reversals, (ii) predict temporary increases in volatility, and (iii) predict mutual fund flows out of equity funds and into bond funds. Taken together, the results are broadly consistent with theories of investor sentiment.

We use daily Internet search volume from millions of households to reveal market-level sentiment. By aggregating the volume of queries related to household concerns (e.g., "recession," "unemployment," and "bankruptcy"), we construct a Financial and Economic Attitudes Revealed by Search (FEARS) index as a new measure of investor sentiment. Between 2004 and 2011, we find FEARS (i) predict short-term return reversals, (ii) predict temporary increases in volatility, and (iii) predict mutual fund flows out of equity funds and into bond funds. Taken together, the results are broadly consistent with theories of investor sentiment. © 2014 The Author. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved.

This paper documents that the path of credit spreads since a firm's last loan influences the level at which it can currently borrow. If spreads have moved in the firm's favor (i.e., declined), it is charged a higher interest rate than is justified by current fundamentals, whereas if spreads have moved to the firm's detriment, it is charged a lower rate. We evaluate several possible explanations for this finding, and conclude that anchoring to past deal terms is most plausible.