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Considerable theoretical and empirical evidence links price comovements with the behavior of retail investors. Nevertheless, when predicting stock return correlations, research has focused on the leverage effect. We propose a new model of realized covariances that allows exogenous predictors to...
Persistent link: https://www.econbiz.de/10013214872
Persistent link: https://www.econbiz.de/10012494223
Auctions of government bonds are the main allotment method used by the Treasury of advanced economies. Previous research has found that auctions have an influence on the market yield days before they take place, and underpricing is usually spotted when their outcome is compared with...
Persistent link: https://www.econbiz.de/10010519950
We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: i) The price impact of liquidity trades is higher in the...
Persistent link: https://www.econbiz.de/10013115486
We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: i) The price impact of liquidity trades is higher in the...
Persistent link: https://www.econbiz.de/10013092875
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003893144
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003909174
This paper analyzes the limit order book events arrival dependency structure using high-dimensional Hawkes processes. We seek for recurrent relationships among events from a set of 86 event types which in addition to transactions, includes limit order submissions and cancellations taking place...
Persistent link: https://www.econbiz.de/10013245812
fill large market orders. Picking-off risk due to public news induced volatility is more important for top-of-the book … liquidity supply. In our multivariate analysis we control for volatility, trading volume, trading intensity and order imbalance …
Persistent link: https://www.econbiz.de/10008902901
, higher price impact and increased volatility. In particular, as large hidden orders fail to attract (latent) liquidity to the …
Persistent link: https://www.econbiz.de/10009506557