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Many securities markets are organized as double auctions where each incoming limit order --- i.e., an order to buy or sell at a specific price --- is stored in a data structure called the limit order book. A trade happens whenever a market order arrives --- i.e., an order to buy or sell at the...
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We propose a framework to study optimal trading policies in a one-tick pro-rata limit order book, as typically arises in short-term interest rate futures contracts. The high-frequency trader has the choice to trade via market orders or limit orders, which are represented respectively by impulse...
Persistent link: https://www.econbiz.de/10013107638
We propose a framework to study optimal trading policies in a one-tick pro-rata limit order book, as typically arises in short-term interest rate futures contracts. The high-frequency trader chooses to post either market orders or limit orders, which are represented respectively by impulse...
Persistent link: https://www.econbiz.de/10014257179
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We propose several nonparametric predictors of the mid-price in a limit order book, based on different features constructed from the order book data observed contemporaneously and in the recent past. We evaluate our predictors in the context of an order execution task by constructing order...
Persistent link: https://www.econbiz.de/10013031095
This paper considers the impact of foreign exchange order flows on contemporaneous and future stock market returns using a new database of customer order flows in the €-$ exchange rate market as seen by a leading European bank. We do not find clear contemporaneous relationships between FX...
Persistent link: https://www.econbiz.de/10013125789
, we give an empirical result on the relationship between the bid-ask liquidity balance and trade sign and we show that … liquidity balance on best bid/best ask is quite informative for predicting the future market order's direction. Moreover, we de … market order size as well as the liquidity on the best bid (best ask) are consistently informative for predicting the …
Persistent link: https://www.econbiz.de/10013108794
corporate news can help to improve realised volatility forecasting for 23 NASDAQ tickers over the sample from 28 June 2007 to 17 … normal volatility day, the ‘negative' sentiment derived from the news has a clear impact, while ‘news count', and to a lesser … extent, ‘weak modal', and ‘uncertainty' can help to forecast volatility jumps. The depth of the LOB also helps to forecast …
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