In addition to a myriad of industrial uses, precious metals continue to play an important role in the global financial system; they are increasingly popular as an investment and form part of a well-diversified portfolio in addition to acting as central bank reserves. Understanding how...

Utilising a comprehensive sample of U.S. and Chinese macroeconomic news announcements, we determine that volatility in commodity prices is significantly impacted by news regarding U.S. economic output (Industrial Production) and Chinese producer prices (PPI). Much of this effect appears to be...

Crude oil futures play an important role in the global financial and energy markets, yet the dynamics of liquidity in this crucial market have largely been ignored. Understanding how macroeconomic events shape liquidity in this market is crucial for both hedgers and speculators, particularly...

We investigate whether the stock market impact of tone in Moody's rating reports depends on negative news. Reports convey negative news through negative rating actions (downgrades, reviews for downgrade or negative outlooks) or negative tone if there is no rating action. Using data from U.S....

We explore the possibility that overnight returns can serve as a measure of firm-specific investor sentiment by analyzing whether they exhibit characteristics expected of a sentiment measure. First, we document short-term persistence in overnight returns, consistent with existing evidence of...

This study provides evidence that high-frequency traders (HFTs) identify patterns in past trades and orders that allow them to anticipate and trade ahead of other investors' order flow. Specifically, HFTs' aggressive purchases and sales lead those of other investors, and this effect is stronger...

This paper examines the effects of public news releases on the market liquidity in one of the most important OTC derivatives markets — the CDS market. We document that, at the time of news releases, the bid-ask spread is wider, the number of quotes is larger, and the number of dealers is...

I examine how financial markets interact with news about the COVID-19 pandemic. A twelve topic model optimizes the trade-off between number of topics and topic coherence. Using this model, I show that before mid-March 2020 markets react more to the same quantum of news when volatility is higher...

This paper examines information processing skills of institutional investors after earnings releases. If institutions can correctly process earnings signals, their trades should push the price towards the fundamental value. In contrast, if institutions mechanically trade in the news direction,...

The relation between average equity return and market exposure behaves distinctively on days on which early earnings announcements are made by firms for which the announcements have a large spillover “influence” on discount rates and expectations of earnings for related firms. On such days...