Showing 1 - 10 of 906
We use measures of neural activity provided by functional magnetic resonance imaging (fMRI) to test the "realization utility" theory of investor behavior, which posits that people derive utility directly from the act of realizing gains and losses. Subjects traded stocks in an experimental market...
Persistent link: https://www.econbiz.de/10013036251
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
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
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
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
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
We have seen in the past decade a sharp increase in the extent that companies use data to optimize their businesses. Variously called the `Big Data' or `Data Science' revolution, this has been characterized by massive amounts of data, including unstructured and nontraditional data like text and...
Persistent link: https://www.econbiz.de/10012918102
Can algorithms assist firms in their decisions on nominating corporate directors? We construct algorithms to make out-of-sample predictions of director performance. Tests of the quality of these predictions show that directors predicted to do poorly indeed do poorly compared to a realistic pool...
Persistent link: https://www.econbiz.de/10012923716
A forecasting comparison is undertaken in which 49 univariate forecasting methods, plus various forecast pooling procedures, are used to forecast 215 U.S. monthly macroeconomic time series at three forecasting horizons over the period 1959 - 1996. All forecasts simulate real time implementation,...
Persistent link: https://www.econbiz.de/10013218715
We perform an experimental study of complexity to assess its effect on trading behavior, price volatility, liquidity …. Complexity altered subjects' bidding strategies, decreased liquidity, increased price volatility, and decreased trade efficiency … complex treatment. Our analysis suggests that complexity may be a driver of volatility and liquidity in financial markets and …
Persistent link: https://www.econbiz.de/10013141005