Roméo Tedongap

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Staff Working Papers

The Term Structures of Loss and Gain Uncertainty

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 these two components. Loss uncertainty is the uncertainty surrounding negative returns, and gain uncertainty is the uncertainty surrounding any future gain. Investment opportunities can be evaluated by looking at these components.

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

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

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

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