Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Bruno Feunou"'
Autor:
Jean-Sébastien Fontaine, Bruno Feunou
Publikováno v:
The Review of Economics and Statistics. 105:408-424
We build a model of bond yields in an economy with secular changes to inflation, real rate, and output growth. Long-run restrictions identify nominal shocks that do not influence the long-run real rate and output growth. Before the anchoring of infla
Publikováno v:
Management Science. 68:8411-8429
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. Using both simulations and U.S. his
Publikováno v:
Journal of Financial Econometrics. 18:473-501
We document that the term structures of risk-neutral expected loss and gain uncertainty on S&P 500 returns are upward sloping on average. These shapes mainly reflect the higher premium required by investors to hedge downside risk and the belief that
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Autor:
Bruno Feunou
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Review of Finance.
We estimate a continuous-time model for the stock market index where the stochastic volatility and crash probability depend on the realized spot variance and the stock market illiquidity. We find that market illiquidity is a useful economic covariate
Publikováno v:
Studies in Nonlinear Dynamics & Econometrics. 25
The Federal Reserve target rate has a lower bound. Changes to the target rate occur with discrete increments. Using out-of-sample forecasts of the target rate, we evaluate models incorporating these two realistic non-linear features. Incorporating th
Autor:
Bruno Feunou, Cedric Okou
Publikováno v:
Journal of Financial and Quantitative Analysis. 54:695-727
Advances in variance analysis permit to split the total quadratic variation of a jump-diffusion process into upside and downside components, commonly referred to as good and bad volatilities. This decomposition yields enhanced volatility predictions
Autor:
Bruno Feunou, Jean-Sébastien Fontaine
Publikováno v:
Management Science. 64:1413-1439
Existing results show that (i) lagged forward rates help predict bond returns and (ii) modern Markovian dynamic term structure models (DTSMs) cannot match the evidence [Cochrane JH, Piazzesi M (2005) Bond risk premia. Amer. Econom. Rev. 95(1):138–1