C51 - Model Construction and Estimation

• A Distributional Approach to Realized Volatility

  Staff Working Paper 2013-49 Selma Chaker, Nour Meddahi

  This paper proposes new measures of the integrated variance, measures which use high-frequency bid-ask spreads and quoted depths. The traditional approach assumes that the mid-quote is a good measure of frictionless price.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, C5, C51, C58

• Volatility Forecasting when the Noise Variance Is Time-Varying

  Staff Working Paper 2013-48 Selma Chaker, Nour Meddahi

  This paper explores the volatility forecasting implications of a model in which the friction in high-frequency prices is related to the true underlying volatility. The contribution of this paper is to propose a framework under which the realized variance may improve volatility forecasting if the noise variance is related to the true return volatility.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, C5, C51, C58

• Which Parametric Model for Conditional Skewness?

  Staff Working Paper 2013-32 Bruno Feunou, Mohammad R. Jahan-Parvar, Roméo Tedongap

  This paper addresses an existing gap in the developing literature on conditional skewness. We develop a simple procedure to evaluate parametric conditional skewness models. This procedure is based on regressing the realized skewness measures on model-implied conditional skewness values.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C51, G, G1, G12, G15

• Volatility and Liquidity Costs

  Staff Working Paper 2013-29 Selma Chaker

  Observed high-frequency prices are contaminated with liquidity costs or market microstructure noise. Using such data, we derive a new asset return variance estimator inspired by the market microstructure literature to explicitly model the noise and remove it from observed returns before estimating their variance.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets, Market structure and pricing JEL Code(s): C, C1, C14, C5, C51, C58, G, G2, G20