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The microstructural foundations of leverage effect and rough volatility

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arxiv 1609.05177 v1 pith:57K5DSRD submitted 2016-09-16 q-fin.TR q-fin.MFq-fin.ST

classification q-fin.TRq-fin.MFq-fin.ST
keywords effectleveragemodelroughvolatilityhighmarketasset
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We show that typical behaviors of market participants at the high frequency scale generate leverage effect and rough volatility. To do so, we build a simple microscopic model for the price of an asset based on Hawkes processes. We encode in this model some of the main features of market microstructure in the context of high frequency trading: high degree of endogeneity of market, no-arbitrage property, buying/selling asymmetry and presence of metaorders. We prove that when the first three of these stylized facts are considered within the framework of our microscopic model, it behaves in the long run as a Heston stochastic volatility model, where leverage effect is generated. Adding the last property enables us to obtain a rough Heston model in the limit, exhibiting both leverage effect and rough volatility. Hence we show that at least part of the foundations of leverage effect and rough volatility can be found in the microstructure of the asset.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Modeling microstructure price dynamics with symmetric Hawkes and diffusion model using ultra-high-frequency stock data

    q-fin.ST 2019-08 conditional novelty 6.0 of 10

    A symmetric Hawkes model is fit to S&P 500 tick data, and a heuristic diffusion counterpart is proposed that approximates its variance and skewness properties.

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