Jump detection in high-frequency order prices
By Markus Bibinger, Nikolaus Hautsch, Alexander Ristig
Rating
1651
Battle Count: 25
Relevance
9/10
Highly relevant for high-frequency trading strategies, risk management, and market making activities
Implementation Complexity
7/10
Requires advanced statistical knowledge and careful implementation of complex estimators
Reproducibility
4/5
Detailed methodology provided, simulation study included, empirical analysis with real data presented
About this paper
Methodology: Statistical inference for jump detection. Problem types: Time Series Analysis, Jump Detection, Volatility Estimation.
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