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 Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, C5, C51, C58
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 Research Topic(s): Econometric and statistical methods, Financial markets, Market structure and pricing JEL Code(s): C, C1, C14, C5, C51, C58, G, G2, G20
Measuring Systemic Importance of Financial Institutions: An Extreme Value Theory Approach Staff Working Paper 2011-19 Toni Gravelle, Fuchun Li In this paper, we define a financial institution’s contribution to financial systemic risk as the increase in financial systemic risk conditional on the crash of the financial institution. The higher the contribution is, the more systemically important is the institution for the system. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): C, C1, C14, C5, C58, G, G2, G21, G3, G32