Bruno Feunou - Latest
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Time-Varying Crash Risk: The Role of Stock Market Liquidity
We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model. -
Tractable Term Structure Models
We introduce a new framework that facilitates term structure modeling with both positive interest rates and flexible time-series dynamics but that is also tractable, meaning amenable to quick and robust estimation. -
Foreign Flows and Their Effects on Government of Canada Yields
Foreign investment flows into Government of Canada (GoC) bonds have surged since the financial crisis. Our empirical analysis suggests that foreign flows of $150 billion lowered the 10-year GoC bond yield by 100 basis points between 2009 and 2012. -
Option Valuation with Observable Volatility and Jump Dynamics
Under very general conditions, the total quadratic variation of a jump-diffusion process can be decomposed into diffusive volatility and squared jump variation. We use this result to develop a new option valuation model in which the underlying asset price exhibits volatility and jump intensity dynamics. -
Downside Variance Risk Premium
We decompose the variance risk premium into upside and downside variance risk premia. These components reflect market compensation for changes in good and bad uncertainties. Their difference is a measure of the skewness risk premium (SRP), which captures asymmetric views on favorable versus undesirable risks. -
Fourier Inversion Formulas for Multiple-Asset Option Pricing
Plain vanilla options have a single underlying asset and a single condition on the payoff at the expiration date. For this class of options, a well-known result of Duffie, Pan and Singleton (2000) shows how to invert the characteristic function to obtain a closed-form formula for their prices. -
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.
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