Using high frequency data for the price dynamics of equities we measure the impact that market microstructure noise has on estimates of the: (i) volatility of returns; and (ii) variance-covariance matrix of n assets. We propose a Kalman-filter-based methodology that allows us to deconstruct...

We propose a model for stock price dynamics that explicitly incorporates random waiting times between trades, also known as duration, and show how option prices can be alculated using this model. We use ultra-high-frequency data for blue-chip companies to motivate a particular choice of...

Analizamos el impacto de las operaciones que se realizan en mercados financieros a gran velocidad utilizando un modelo con tres tipos de operadores: consumidores de liquidez, creadores de mercado y operadores de alta frecuencia. Nuestros cuatro resultados principales son: i) el impacto de las...