International audienceMany statistical arbitrage strategies, such as pair trading or basket trading, are based on several assets. Optimal execution routines should also take into account correlation between stocks when proceeding clients orders. However, not so much effort has been devoted to correlation modelling and only few empirical results are known about high frequency correlation. We develop a theoretical framework based on correlated point processes in order to capture the Epps effect in section 1. We show in section 2 that this model converges to correlated Brownian motions when moving to large time scales. A way of introducing non-Gaussian correlations is also discussed in section 2. We conclude by addressing the limits of this mo...
Modelling the correlations between financial asset returns is important for portfolio management and...
We present two statistical causes for the distortion of correlations on high-frequency financial dat...
We introduce a new method for quantifying pattern-based complex short-time correlations of a time se...
International audienceMany statistical arbitrage strategies, such as pair trading or basket trading,...
International audienceMany statistical arbitrage strategies, such as pair trading or basket trading,...
Abstract. A detailed analysis of correlation between stock returns at high frequency is compared wit...
A detailed analysis of correlation between stock returns at high frequency is compared with simple m...
We review the decomposition method of stock return cross-correlations, presented previously for stud...
The first two chapters of the thesis are a comparative study of several methods for correlation esti...
We tackle the question of whether Trade and Quote data from high-frequency finance are representativ...
We analyse the dependence of stock return cross-correlations on the data sampling frequency, known a...
In this thesis we focus on modelling correlation between selected stock markets using high-frequency...
International audienceHawkes processes are used for modeling tick-by-tick variations of a single or ...
International audienceHawkes processes are used for modeling tick-by-tick variations of a single or ...
Modelling the correlations between financial asset returns is important for portfolio management and...
Modelling the correlations between financial asset returns is important for portfolio management and...
We present two statistical causes for the distortion of correlations on high-frequency financial dat...
We introduce a new method for quantifying pattern-based complex short-time correlations of a time se...
International audienceMany statistical arbitrage strategies, such as pair trading or basket trading,...
International audienceMany statistical arbitrage strategies, such as pair trading or basket trading,...
Abstract. A detailed analysis of correlation between stock returns at high frequency is compared wit...
A detailed analysis of correlation between stock returns at high frequency is compared with simple m...
We review the decomposition method of stock return cross-correlations, presented previously for stud...
The first two chapters of the thesis are a comparative study of several methods for correlation esti...
We tackle the question of whether Trade and Quote data from high-frequency finance are representativ...
We analyse the dependence of stock return cross-correlations on the data sampling frequency, known a...
In this thesis we focus on modelling correlation between selected stock markets using high-frequency...
International audienceHawkes processes are used for modeling tick-by-tick variations of a single or ...
International audienceHawkes processes are used for modeling tick-by-tick variations of a single or ...
Modelling the correlations between financial asset returns is important for portfolio management and...
Modelling the correlations between financial asset returns is important for portfolio management and...
We present two statistical causes for the distortion of correlations on high-frequency financial dat...
We introduce a new method for quantifying pattern-based complex short-time correlations of a time se...