Bruno Feunou - Latest

• Bond Risk Premia and Gaussian Term Structure Models

  Staff Working Paper 2014-13 Bruno Feunou, Jean-Sébastien Fontaine

  Cochrane and Piazzesi (2005) show that (i) lagged forward rates improve the predictability of annual bond returns, adding to current forward rates, and that (ii) a Markovian model for monthly forward rates cannot generate the pattern of predictability in annual returns.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Interest rates JEL Code(s): E, E4, E43, E47, G, G1, G12

• Measuring Uncertainty in Monetary Policy Using Implied Volatility and Realized Volatility

  Staff Working Paper 2013-37 Bo Young Chang, Bruno Feunou

  We measure uncertainty surrounding the central bank’s future policy rates using implied volatility computed from interest rate option prices and realized volatility computed from intraday prices of interest rate futures.

  Content Type(s): Staff research, Staff working papers Topic(s): Monetary and financial indicators, Monetary policy and uncertainty JEL Code(s): E, E4

• 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

• Forecasting Inflation and the Inflation Risk Premiums Using Nominal Yields

  Staff Working Paper 2012-37 Bruno Feunou, Jean-Sébastien Fontaine

  We provide a decomposition of nominal yields into real yields, expectations of future inflation and inflation risk premiums when real bonds or inflation swaps are unavailable or unreliable due to their relative illiquidity.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Inflation and prices, Interest rates JEL Code(s): E, E4, E43, E47, G, G1, G12

• The Economic Value of Realized Volatility: Using High-Frequency Returns for Option Valuation

  Staff Working Paper 2012-34 Peter Christoffersen, Bruno Feunou, Kris Jacobs, Nour Meddahi

  Many studies have documented that daily realized volatility estimates based on intraday returns provide volatility forecasts that are superior to forecasts constructed from daily returns only. We investigate whether these forecasting improvements translate into economic value added.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G13

• Risk Premium, Variance Premium and the Maturity Structure of Uncertainty

  Staff Working Paper 2012-11 Bruno Feunou, Jean-Sébastien Fontaine, Abderrahim Taamouti, Roméo Tedongap

  Expected returns vary when investors face time-varying investment opportunities. Long-run risk models (Bansal and Yaron 2004) and no-arbitrage affine models (Duffie, Pan, and Singleton 2000) emphasize sources of risk that are not observable to the econometrician.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial services JEL Code(s): G, G1, G12, G13

• A Stochastic Volatility Model with Conditional Skewness

  Staff Working Paper 2011-20 Bruno Feunou, Roméo Tedongap

  We develop a discrete-time affine stochastic volatility model with time-varying conditional skewness (SVS). Importantly, we disentangle the dynamics of conditional volatility and conditional skewness in a coherent way.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): C, C1, C5, G, G1, G12

• The Equity Premium and the Volatility Spread: The Role of Risk-Neutral Skewness

  Staff Working Paper 2009-20 Bruno Feunou, Jean-Sébastien Fontaine, Roméo Tedongap

  We introduce the Homoscedastic Gamma [HG] model where the distribution of returns is characterized by its mean, variance and an independent skewness parameter under both measures. The model predicts that the spread between historical and risk-neutral volatilities is a function of the risk premium and of skewness.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial markets JEL Code(s): G, G1, G12, G13