SIAM Journal on Financial Mathematics · 2015 · 77 citations · 26 references
BusinessFinanceMathematicsFinancial EconomicsFinancial MarketsStochastic ProcessesAsset Return ModelingMarkov ProcessesStationary ProcessesStochastic VolatilityVolatility ModelingLimit Order Book DynamicsLimit Order Book ModelingLimit Order MarketsLong-run BehaviorLong-time BehaviorOrder Book DynamicsStationarity AssumptionTime Series Volatility Modeling
Hawkes processes provide a natural framework for modelling dependencies between the intensities of point processes. In the context of order-driven financial markets, the relevance of such dependencies has been amply demonstrated from an empirical, as well as theoretical, standpoint. In this work, we build on previous empirical and numerical studies and introduce a mathematical model of limit order books based on Hawkes processes with exponential kernels. After proving a general stationarity result, we focus on the long-time behavior of the limit order book and the corresponding dynamics of the suitably rescaled price. A formula for the asymptotic (in time) volatility of the price dynamics induced by that of the order book is obtained, involving the average of functions of the various order book events under the stationary distribution.
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Markov Processes: Characterization and Convergence.
Andris Abakuks, S. N. Ethier, Thomas G. Kurtz · Biometrics · 1987 · 4.5K citations
Spectra of some self-exciting and mutually exciting point processes
Alan G. Hawkes · Biometrika · 1971 · 2.2K citations