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We introduce a new measure of activity of financial markets that provides a direct access to their level of endogeneity. This measure quantifies how much of price changes are due to endogenous feedback processes, as opposed to exogenous news. For this, we calibrate the self-excited conditional...
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Modern Algorithmic Trading ("Algo") allows institutional investors and traders to liquidate or establish big security positions in a fully automated or low-touch manner. Most existing academic or industrial Algos focus on how to "slice" a big parent order into smaller child orders over a given...
Persistent link: https://www.econbiz.de/10012837206
This paper develops a pairs trading framework based on a mean-reverting jump-diffusion model and applies it to minute-by-minute data of the S&P 500 oil companies from 1998 to 2015. The established statistical arbitrage strategy enables us to perform intraday and overnight trading. Essentially,...
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structural stochastic volatility, which derives from different noise levels in the demand of fundamentalists and chartists and …
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of time, optimal high frequency trading strategies are derived via stochastic control theory and solving the … numerical procedures, where appropriate. The bridge from abstract mathematical theory to practical real-time implementation is …
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This study focus on applying the Heston's stochastic volatility model, to the Greek stock market, by estimating the … futures values of volatility …
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