We use sequential energy inventory announcements to shed new light on the informational efficiency of financial markets. Our findings provide clear evidence of inefficiency in crude oil futures and stock markets. This inefficiency can be exploited by sophisticated traders. We examine the effect...

This paper empirically examines price formation in the European Union Emissions Trading Scheme (EU ETS). Our analysis shows that unexpected allocations of European Union Allowances (EUAs) lead to pronounced price reactions of the expected signs. Moreover, we find evidence that the adjustment of...

Based on high-frequency firm-level data, this paper uncovers new empirical patterns on intraday momentum in China. First, there exists a strong intraday momentum effect at the firm level. Second, the intraday predictability stems mainly from the overnight component rather than the opening...

Efficient market hypothesis fails from time to time. There are many reasons why it happens. We will try to concentrate on one of them – force-majeure events – situations when something important happens unexpectedly. In this case market simply can't absorb information in one moment. So for...

We find that investor attention proxies proposed in the literature collectively have a common component that has significant power in predicting stock market risk premium, both in-sample and out-of-sample. This common component is well extracted by using partial least squares, scaled principal...

We introduce a novel strategy to predict monthly equity premia that is based on extracted news from more than 700,000 newspaper articles, which were published in The New York Times and Washington Post between 1980 and 2018. We propose a flexible data-adaptive switching approach to map a large...

Using 1990 through 2013 data of U.S. firms with foreign operations, we show that (1) the serial correlation of analyst forecast errors increases to the degree that firms diversify internationally, (2) post-earnings-announcement drift (PEAD) based on analyst forecast errors increases to the...

This study analyses whether returns of top market capitalised crypto-currencies are affected by their movements or major global macroeconomic news. Daily data are collected for the leading 10 cryptocurrencies from July 2017–December 2018. This study, (i) tests whether lagged variables can help...

The sentiment of news predicts the short-term stock market performance of individual companies. We find that this association is solely due to the idiosyncratic informational content of an article. We transparently quantify the association between news sentiment and stock market performance of...

While increases in earnings are common, we identify a setting in which they signal a separating equilibrium. Firms that “defy gravity' (DG) by reporting increases in earnings despite experiencing a decline in sales from continuing operations, signal their viability as a going- concern, and...