Showing 91 - 100 of 161,946
This paper examines the trading behavior of individual investors using a proprietary intraday dataset of a large pool of retail investor aggregate (minute by minute) long and short positions in EUR/USD for the period July 2014 to April 2016. Standard event study analysis shows no significant...
Persistent link: https://www.econbiz.de/10013243514
We develop a model of limit order trading in which some traders have better information on future price volatility. As … visible. In either design, a large (resp. small) spread signals that informed limit order traders expect volatility to be high … significantly. Consistent with our model, we also find that the size of the spread is a predictor of future price volatility and …
Persistent link: https://www.econbiz.de/10010361995
This paper puts focus on the hazard function of inter-trade durations to characterize the intraday trading process. It sheds light on the time varying trade intensity and, thus, on the liquidity of an asset and the informations channels which propagate price signals among asymmetrically informed...
Persistent link: https://www.econbiz.de/10011543945
We analyze how market fragmentation affects market quality of SME and other less actively traded stocks. Compared to large stocks, they are less likely to be traded on multiple venues and show, if at all, low levels of fragmentation. Concerning the impact of fragmentation on market quality, we...
Persistent link: https://www.econbiz.de/10013464048
impact of liquidity, as implied by a stock exchange's complete electronic limit order book (LOB), on asset price volatility … from the functional data analysis (FDA) literature to link scalar conditional return volatility to curve-valued liquidity …
Persistent link: https://www.econbiz.de/10012947578
We extract contextualized representations of news text to predict returns using the state-of-the-art large language models in natural language processing. Unlike the traditional bag-of-words approach, the contextualized representation captures both the syntax and semantics of text, thus...
Persistent link: https://www.econbiz.de/10014351081
We survey the literature on stock return forecasting, highlighting the challenges faced by forecasters as well as strategies for improving return forecasts. We focus on U.S. equity premium forecastability and illustrate key issues via an empirical application based on updated data. Some studies...
Persistent link: https://www.econbiz.de/10014351279
This study develops a novel generalised seasonality test that utilises sequential dummy variable regressions for seasonality periodicity equal to prime numbers. It allows both to test for existence of any seasonal patterns against the broad null hypothesis of no seasonality and to isolate most...
Persistent link: https://www.econbiz.de/10014352091
Traditional machine learning methods have been widely studied in financial innovation. My study focuses on the application of deep learning methods on asset pricing.I investigate various deep learning methods for asset pricing, especially for risk premia measurement. All models take the same set...
Persistent link: https://www.econbiz.de/10014236793
Using intraday 2015-2019 short sale data from CBOE and FINRA, we examine the intraday time patterns and information content of on-exchange and off-exchange shorting. Midday short sales and those near the open strongly and negatively predict the cross-section of stock returns at daily horizons...
Persistent link: https://www.econbiz.de/10013223121