This paper applies state-of-the-art deep learning techniques to develop the first sentiment index measuring member countries' reception of IMF policy advice at the time of Article IV Consultations. This paper finds that while authorities of member countries largely agree with Fund advice, there...

The technical change in telecommunications industry is tremendous, and it is exactly the continuous technological progress in telecommunications that brings sustained prosperity and development of the telecommunications industry. Inthis paper, the interplay between technology, market and...

In this paper we present a new data set on bank credit in four categories: home mortgages, consumer credit, bank loans to non-bank financials, and loans to non-financial business, for 74 economies over 1990–2013. We offer a full description of sources and methods of data collection and...

The anomalies literature is infested with widespread p-hacking. We replicate the entire anomalies literature in finance and accounting by compiling a largest-to-date data library that contains 447 anomaly variables. With microcaps alleviated via New York Stock Exchange breakpoints and...

Most anomalies fail to hold up to currently acceptable standards for empirical finance. With microcaps mitigated via NYSE breakpoints and value-weighted returns, 65% of the 452 anomalies in our data library, including 96% of the trading frictions category, cannot clear the single test hurdle of...