演讲者:石玉峰(山东大学)
时间:2021-09-27 16:30-17:30
地点:腾讯会议 ID 481 142 020
The demand for high-frequency algorithmic trading in the cryptocurrency markets is driving the research of price impact mechanisms. We propose the cross-interval price impact model (CIPIM) to explore the advanced or delayed price impact of order book events. The results of the empirical analysis show that neural network structures such as long short-term memory (LSTM) as a specific implementation of CIPIM obtain better concurrent interpretation on price impact than order flow imbalance (OFI) indicator. Meanwhile, the classification version of CIPIM that predicts the direction of Bitcoin price changes tends to work to some extent.