Bruno Feunou - Latest
-
-
May 13, 2014
Measuring Uncertainty in Monetary Policy Using Realized and Implied Volatility
Uncertainty surrounding the Bank of Canada’s future policy rates is measured using implied volatility computed from interest rate options and realized volatility computed from intraday prices of interest rate futures. Both volatility measures show that uncertainty decreased following major policy actions taken by the Bank in response to the 2007–09 financial crisis. Findings also indicate that, on average, uncertainty decreases following the Bank’s policy rate announcements. -
Bond Risk Premia and Gaussian Term Structure Models
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. -
Measuring Uncertainty in Monetary Policy Using Implied Volatility and Realized Volatility
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. -
Which Parametric Model for Conditional Skewness?
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. -
Forecasting Inflation and the Inflation Risk Premiums Using Nominal Yields
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. -
The Economic Value of Realized Volatility: Using High-Frequency Returns for Option Valuation
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. -
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. -
A Stochastic Volatility Model with Conditional Skewness
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. -
The Equity Premium and the Volatility Spread: The Role of Risk-Neutral Skewness
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.
- « Previous
- 1
- 2
- 3