Results 91 to 100 of about 1,307,477 (404)
Exact Solutions for a GBM-type Stochastic Volatility Model having a Stationary Distribution [PDF]
We find various exact solutions for a new stochastic volatility (SV) model: the transition probability density, European-style option values, and (when it exists) the martingale defect. This may represent the first example of an SV model combining exact solutions, GBM-type volatility noise, and a stationary volatility density.
arxiv +1 more source
Extravasation of Borrelia burgdorferi Across the Blood–Brain Barrier is an Extremely Rare Event
Lyme disease is caused by vascular dissemination of the bacteria Borrelia. In a 3D tissue‐engineered microvessel model, Borrelia extravasation across the blood–brain barrier is extremely rare, implying that neuroborreliosis is not caused via direct cytotoxicity.
Linus Wang+6 more
wiley +1 more source
Resilient and Flexible Electrohydrodynamics Pumps for Human–Machine Interfaces
This study introduces resilient and flexible electrohydrodynamic (EHD) pumps designed to enhance human–machine interfaces. These pumps are both quiet and compact, featuring a unique electrode configuration that overcomes the typical limitations associated with dielectric breakdowns and subsequent permanent failures.
Yu Kuwajima+13 more
wiley +1 more source
Stochastic volatility models play an important role in finance modeling. Under a mixed fractional Brownian motion environment, we study the continuity and estimates of a solution to a kind of stochastic differential equations with double volatility terms.
Yan Dong
doaj +1 more source
Maximum likelihood approach for several stochastic volatility models [PDF]
Volatility measures the amplitude of price fluctuations. Despite it is one of the most important quantities in finance, volatility is not directly observable. Here we apply a maximum likelihood method which assumes that price and volatility follow a two-dimensional diffusion process where volatility is the stochastic diffusion coefficient of the log ...
arxiv +1 more source
Estimation of integrated volatility in stochastic volatility models [PDF]
In the framework of stochastic volatility models we examine estimators for the integrated volatility based on the pth power variation (i.e. the sum of pth absolute powers of the log-returns). We derive consistency and distributional results for the estimators given high-frequency data, especially taking into account what kind of process we may add to ...
openaire +3 more sources
Strain Fluctuations Unlock Ferroelectricity in Wurtzites
In this study, Steven M. Baksa and his colleagues unveiled the atomistic mechanisms of ferroelectric reversal in Mg‐substituted ZnO where Mg cations induce strain fluctuations, triggering ferroelectricity via sequential reversal. They also demonstrate that Zn:Mg composition gradients along the polar axis promotes polarization reversal, providing new ...
Steven M. Baksa+10 more
wiley +1 more source
Explicit implied volatilities for multifactor local-stochastic volatility models [PDF]
We consider an asset whose risk-neutral dynamics are described by a general class of local-stochastic volatility models and derive a family of asymptotic expansions for European-style option prices and implied volatilities. Our implied volatility expansions are explicit; they do not require any special functions nor do they require numerical ...
arxiv
A fully back‐end‐of‐line (BEOL) compatible memristive device is proposed using an amorphous gallium oxide (a‐GaOx) film grown by plasma‐enhanced atomic layer deposition. Bipolar resistive analog switching is achieved without requiring forming and with a self‐rectifying behavior.
Onur Toprak+6 more
wiley +1 more source
A note on estimating stochastic volatility and its volatility: a new simple method [PDF]
We present a new simple method of estimating stochastic volatility and its volatility. This method is applicable to both cross-sectional and time-series data. Moreover, this method does not require volatility data series.
arxiv