This paper proposes a new dynamic approach to modelling intra-day trading volume based on factor models. It assumes that intra-day volume can be decomposed into two parts each predicted using separate time-series models. By enabling more accurate prediction of intra-day volume, this methodology allows for a significant reduction in the cost of executing Volume Weighted Average Price orders.ouinonouirechercheInternationa
The aim of this dissertation is to construct different intraday volatility forecasting techniques fo...
This paper investigates the role of intraday prices and volume to generate daily volatility forecast...
We investigate predictable patterns of high Volume Price Impact (VPI) periods using trades, orders ...
International audienceThis paper proposes a new dynamic approach to modelling intra-day trading volu...
International audienceThis paper proposes a new dynamic approach to modelling intra-day trading volu...
In this paper, we present a new methodology for modelling intraday volume, which allows for a reduct...
In this paper, we present a new methodology for modeling intraday volume which allows for a reducti...
In this paper, we present a new methodology for modeling intraday volume which allows for a reductio...
The explosion of algorithmic trading has been one the most recent prominent trends in the financial ...
This paper presents a continuous-time model of intraday trading, pricing, and liquidity with dynamic...
This article proposes an empirically tractable way to incorporate intra-day noise into a VWAP tradin...
In this paper, I model the intraday trading activity based on volume durations, i.e. the waiting tim...
In this paper, the vector autoregressive model is fitted to find out the causal relationship among r...
We provide two explicit closed-form optimal execution strategies to target VWAP. We do this under ve...
In a follow up to a previous paper where a model was presented for intra-day volume dynamics, we use...
The aim of this dissertation is to construct different intraday volatility forecasting techniques fo...
This paper investigates the role of intraday prices and volume to generate daily volatility forecast...
We investigate predictable patterns of high Volume Price Impact (VPI) periods using trades, orders ...
International audienceThis paper proposes a new dynamic approach to modelling intra-day trading volu...
International audienceThis paper proposes a new dynamic approach to modelling intra-day trading volu...
In this paper, we present a new methodology for modelling intraday volume, which allows for a reduct...
In this paper, we present a new methodology for modeling intraday volume which allows for a reducti...
In this paper, we present a new methodology for modeling intraday volume which allows for a reductio...
The explosion of algorithmic trading has been one the most recent prominent trends in the financial ...
This paper presents a continuous-time model of intraday trading, pricing, and liquidity with dynamic...
This article proposes an empirically tractable way to incorporate intra-day noise into a VWAP tradin...
In this paper, I model the intraday trading activity based on volume durations, i.e. the waiting tim...
In this paper, the vector autoregressive model is fitted to find out the causal relationship among r...
We provide two explicit closed-form optimal execution strategies to target VWAP. We do this under ve...
In a follow up to a previous paper where a model was presented for intra-day volume dynamics, we use...
The aim of this dissertation is to construct different intraday volatility forecasting techniques fo...
This paper investigates the role of intraday prices and volume to generate daily volatility forecast...
We investigate predictable patterns of high Volume Price Impact (VPI) periods using trades, orders ...