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Option Prices in a Model with Stochastic Disaster Risk
Seo, Sang Byung - 2013
the mean and volatility of equity returns. Our model assumes a small risk of a rare disaster that is calibrated based on … turns out to be crucial to the model's ability to explain both equity volatility and option prices. We explore different …
Persistent link: https://www.econbiz.de/10013073202
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Transform Analysis and Asset Pricing for Affine Jump-Diffusions
Duffie, Darrell - 2008
examines the implications of stochastic volatility and jumps for option valuation. This example highlights the impact on option … amp;apos;smirksamp;apos; of the joint distribution of jumps in volatility and jumps in the underlying asset price, through …
Persistent link: https://www.econbiz.de/10012774824
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Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives
Trolle, Anders B. - 2007
We conduct a comprehensive analysis of unspanned stochastic volatility in commodity markets in general and the crude …-oil market in particular. We present model-free results that strongly suggest the presence of unspanned stochastic volatility in … stochastic volatility. The model features correlations between innovations to futures prices and volatility, quasi …
Persistent link: https://www.econbiz.de/10012778140
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Jump and Volatility Risk and Risk Premia : A New Model and Lessons from S&P 500 Options
Santa-Clara, Pedro - 2005
We use a novel pricing model to filter times series of diffusive volatility and jump intensity from Samp;P 500 index … about twice the premium required to compensate the same investor for the realized volatility, 5.8 percent. Moreover, the ex …
Persistent link: https://www.econbiz.de/10012785090
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Index-Option Pricing with Stochastic Volatility and the Value of Accurate Variance Forecasts
Engle, Robert F. - 2010
In pricing primary-market options and in making secondary markets, financial intermediaries depend on the quality of forecasts of the variance of the underlying assets. Hence, the gain from improved pricing of options would be a measure of the value of a forecast of underlying asset returns....
Persistent link: https://www.econbiz.de/10012763182
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One-Node Quadrature Beats Monte Carlo : A Generalized Stochastic Simulation Algorithm
Judd, Kenneth L. - 2011
In conventional stochastic simulation algorithms, Monte Carlo integration and curve fitting are merged together and implemented by means of regression. We perform a decomposition of the solution error and show that regression does a good job in curve fitting but a poor job in integration, which...
Persistent link: https://www.econbiz.de/10013131303
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DSGE Models in a Data-Rich Environment
Boivin, Jean - 2011
Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is summarized by a small number of data series. However,...
Persistent link: https://www.econbiz.de/10013118075
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Heaping-Induced Bias in Regression-Discontinuity Designs
Barreca, Alan I. - 2011
This study uses Monte Carlo simulations to demonstrate that regression-discontinuity designs arrive at biased estimates when attributes related to outcomes predict heaping in the running variable. After showing that our usual diagnostics are poorly suited to identifying this type of problem, we...
Persistent link: https://www.econbiz.de/10013120302
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Asset Pricing with Heterogeneous Consumers and Limited Participation : Empirical Evidence
Brav, Alon - 2012
We present evidence that the equity premium and the premium of value stocks over growth stocks are explained in the 1982 1996 period with a stochastic discount factor (SDF) calculated as the weighted average of individual households' marginal rate of substitution with low and economically...
Persistent link: https://www.econbiz.de/10013102192
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Log Odds and Ends
Norton, Edward C. - 2012
Although independent unobserved heterogeneity--variables that affect the dependent variable but are independent from the other explanatory variables of interest--do not affect the point estimates or marginal effects in least squares regression, they do affect point estimates in nonlinear models...
Persistent link: https://www.econbiz.de/10013103062