This paper investigates high-frequency (HF) market and limit orders in the U.S. Treasury market around major macroeconomic news announcements. BrokerTec introduced i-Cross at the end of 2007 and we use this exogenous event as an instrument to analyze the impact of HF activities on liquidity and...

A growing body of literature analyses the impact of news on companies' equity prices. We add to this literature by showing that the transmission of news to prices goes through a combination of changing earnings expectations and risk premia. First, we disentangle sectoral equity prices into...

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 employ the implied volatility spread (IVS) and the short lending fee as measures of privateinformation conveyed by their respective markets. Using credit rating announcements as aninformational event, we find that both IVS and the short fee have significantly higher predictivepower for...

I examine the effects of contemporaneous credit rating and watchlist announcements on the over-the-counter U.S. corporate bond market. I find significant negative daily abnormal returns (-2.91%) over a ten-day window associated with a downgrade announcement with negative watch. The effect is...

Under the influence of the western world, the solar New Year celebration seems to have fascinated everyone in Taiwan with the lunar New Year festivity showing much less vigor. This paper examines the impact of the solar and lunar New Years on the stock market of Taiwan, showing that the lunar...

News on the stock market contains positive or negative sentiments depending on whether the information provided is favorable or unfavorable to the stock market. This study aims to discover news sentiments and classify news according to its sentiments with the application of PhoBERT, a Natural...

The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the ”Natural Language Toolkit” that uses...

This study examines the response of intraday options-implied volatilities to scheduled announcements of major macroeconomic indicators. By analyzing the KOSPI 200 options intraday data, we find that the abnormal implied volatility significantly increases around announcements of macroeconomic...

The author examines the stock market reaction to annual earnings information releases using data for a sample of firms on the Nigerian Stock Exchange. Using the event study method, the author found that the magnitude of the cumulative abnormal returns is dominated by significant reactions 20...