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Showing 1 to 4 of 4 for “"Risk neutral density"”.

  1. Extracting risk aversion estimates from option prices/implied volatility

    The risk neutral density function is the distribution implied by the market price of derivative securities, namely options. It encloses the assumption that arbi-trage free conditions persist in the market. Given the historical evolution of stock prices, an investor will form some belief about the …

    cape-town Repository record for Extracting risk aversion estimates from option prices/implied volatility (opens in a new tab)

  2. Essays in asset prices and macroeconomics

    … series of regularities about housing variables (risk premium, volatility and auto-correlation). In addition to, the model generates a more significant welfare cost of the business cycle in comparison with standard DSGE models, which is an important feature when trying to replicate asset pricing …

    uiuc Repository record for Essays in asset prices and macroeconomics (opens in a new tab)

  3. Empirical essays on inferring information from options and other financial derivatives

    … Option pricing framework is used where the risk-neutral density of the underlying asset is assumed to be a mixture of two lognormals augmented with a probability of default, to calibrate to the market option prices. The CDS model assumes a constant default probability which is solved from …

    lancaster Repository record for Empirical essays on inferring information from options and other financial derivatives (opens in a new tab)

  4. Implied probability distributions : estimation, testing and applications

    … techniques for the estimation of implied risk-neutral densities. As a general rule, an assumption for a theoretical equilibrium option pricing model is made and with the use of cross-sections of observed options prices point estimates of the risk-neutral probability densities are obtained. …

    city-london Repository record for Implied probability distributions : estimation, testing and applications (opens in a new tab)