Roméo Tedongap - Latest

• The Term Structures of Loss and Gain Uncertainty

  Staff Working Paper 2020-19 Bruno Feunou, Ricardo Lopez Aliouchkin, Roméo Tedongap, Lai Xu

  We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment.

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

• Variance Premium, Downside Risk and Expected Stock Returns

  Staff Working Paper 2017-58 Bruno Feunou, Ricardo Lopez Aliouchkin, Roméo Tedongap, Lai Xi

  We decompose total variance into its bad and good components and measure the premia associated with their fluctuations using stock and option data from a large cross-section of firms.

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

• 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

• 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