Results 61 to 70 of about 118,948 (346)
Implied Volatility Functions: Empirical Tests [PDF]
Abstract Expected future volatility plays a central role in finance theory. Consequently, accurately estimating this parameter is crucial to meaningful financial decision making. Finance researchers generally rely on the past behavior of asset prices to develop expectations about volatility, documenting movements in volatility as they
Bernard Dumas +2 more
openaire +2 more sources
Melt Grafting of Geometry‐Tailored Voltage Stabilizers for High‐Performance Polypropylene Insulation
A scalable one‐step melt grafting strategy is developed to enhance the dielectric properties of isotactic polypropylene by covalently incorporating thermally stable aromatic voltage stabilizers. This solvent‐free approach improves volume resistivity and DC breakdown strength through deep trap formation and charge localization, offering a sustainable ...
Nazirul Mubin bin Normansah +9 more
wiley +1 more source
A vertically stacked, DEA‐driven photonic array inspired by cephalopod skin, featuring highly crystalline colloidal crystal gels with vivid color, low FWHM and scalability is presented. The multilayer design removes lateral pixel interference, achieving near‐100% fill factor with fully independent RGB actuation.
Maga Kim +11 more
wiley +1 more source
On the Curvature of the Bachelier Implied Volatility
Our aim in this paper is to analytically compute the at-the-money second derivative of the Bachelier implied volatility curve as a function of the strike price for correlated stochastic volatility models.
Elisa Alòs, David García-Lorite
doaj +1 more source
Black-Scholes model suggests that volatility is constant or fixed during the life time of the option certainly known. However, this does not fit with what happen in the real market. Therefore, the volatility has to be estimated. Implied Volatility is the
IDA AYU EGA RAHAYUNI +2 more
doaj +1 more source
The Reactive Volatility Model [PDF]
We present a new volatility model, simple to implement, that includes a leverage effect whose return-volatility correlation function fits to empirical observations.
Aboura, Sofiane +3 more
core +1 more source
Structure–Transport–Ion Retention Coupling for Enhanced Nonvolatile Artificial Synapses
Nitrogen incorporation into the conjugated backbone of donor–acceptor polymers enables efficient charge transfer and deep ion embedding in organic electrochemical synaptic transistors (OESTs). This molecular‐level design enhances non‐volatile synaptic properties, providing a new strategy for developing high‐performance and reliable neuromorphic devices.
Donghwa Lee +5 more
wiley +1 more source
Volatility Forecasting Model-Free Implied Volatility [PDF]
Volatility in the financial market is an important variable, which in asset pricing, investment, risk management and policy-making process plays an important role. Methods for predicting volatility are mainly divided into two categories, one is the historical information method, based on the historical information to predict the future volatility; the ...
Guibin Lu, Jingfei Cheng
openaire +1 more source
Ferroelectricity in thin HfO2‐based films offers great possibilities for next‐generation neuromorphic memory devices. There, the response to subcoercive voltage signals is driven by the movement of mobile interfaces and their interaction with crystal defects – a yet rather unexplored aspect, which we shed light on and gain new insights into the complex
Maximilian T. Becker +11 more
wiley +1 more source
Predictability and predictors of volatility smirk: a study on index options
The purpose of this study is to examine the presence of volatility smirk anomaly in index options and its predictability for future returns. The study tests the temporal properties of volatility smirk and further explores the factors determining the ...
Rajesh Pathak, Amarnath Mitra
doaj +1 more source

