Search results for "Lognormal model"

showing 1 items of 1 documents

Volatility in Financial Markets: Stochastic Models and Empirical Results

2002

We investigate the historical volatility of the 100 most capitalized stocks traded in US equity markets. An empirical probability density function (pdf) of volatility is obtained and compared with the theoretical predictions of a lognormal model and of the Hull and White model. The lognormal model well describes the pdf in the region of low values of volatility whereas the Hull and White model better approximates the empirical pdf for large values of volatility. Both models fails in describing the empirical pdf over a moderately large volatility range.

Statistics and ProbabilityStatistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)Stochastic modellingEconophysicFinancial marketFOS: Physical sciencesQuantitative Finance - Statistical FinanceStatistical and Nonlinear PhysicsProbability density functionStochastic processeCondensed Matter PhysicsEmpirical probabilitySettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)FOS: Economics and businessVolatilityLognormal modelHullEconomicsEconometricsMathematical PhysicVolatility (finance)Condensed Matter - Statistical Mechanics
researchProduct