Results 161 to 170 of about 1,369,451 (372)

A Neural Stochastic Volatility Model

open access: yes, 2018
In this paper, we show that the recent integration of statistical models with deep recurrent neural networks provides a new way of formulating volatility (the degree of variation of time series) models that have been widely used in time series analysis ...
Luo, Rui   +3 more
core   +1 more source

Multi‐Material Gradient Printing Using Meniscus‐enabled Projection Stereolithography (MAPS)

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
MAPS is a new vat‐free printing technique that utilizes programmed delivery of resin droplets with custom formulations to enable multi‐material gradient printing of 3D structures with user‐defined variations in mechanical stiffness, opacity, surface energy, cell densities, and magnetic properties. Abstract Light‐based additive manufacturing methods are
Puskal Kunwar   +10 more
wiley   +1 more source

Tree-Based Methods of Volatility Prediction for the S&P 500 Index

open access: yesComputation
Predicting asset return volatility is one of the central problems in quantitative finance. These predictions are used for portfolio construction, calculation of value at risk (VaR), and pricing of derivatives such as options.
Marin Lolic
doaj   +1 more source

From Efficient Market Theory to Behavioral Finance [PDF]

open access: yes
The efficient markets theory reached the height of its dominance in academic circles around the 1970s. Faith in this theory was eroded by a succession of discoveries of anomalies, many in the 1980s, and of evidence of excess volatility of returns ...
Robert J. Shiller
core  

Automatic Exposure Volumetric Additive Manufacturing

open access: yesAdvanced Materials Technologies, EarlyView.
Tomographic volumetric additive manufacturing (VAM) is resin‐based 3D printing technology, where objects are printed in seconds using volumetric light patterning. Although fast, tomographic VAM struggles to produce repeatable and accurate prints. This work demonstrates an automatic exposure method for tomographic VAM, resulting in commercial‐grade ...
Antony Orth   +10 more
wiley   +1 more source

Improving Light Outcoupling and Addressing Measurement Specifics in Perovskite Light‐Emitting Diodes with Light Management Foils

open access: yesAdvanced Photonics Research, EarlyView.
The necessity and feasibility of enhancing light outcoupling in perovskite light‐emitting diodes (PeLEDs) is highlighted. On near‐IR PeLEDs, low‐cost, micro‐textured light management (LM) foils demonstrate boost in light extraction. Optimizing perovskite thickness and the optical cavity in synergy with LM foils is crucial for maximizing performance ...
Milan Kovačič   +3 more
wiley   +1 more source

Application of deep learning to option hedging strategy

open access: yesSystems and Soft Computing
The emergence of the digital information age has sparked considerable interest in predictive analytics within the realm of finance. Predicting uncertainty lies at the heart of Financial Engineering, where crafting investment or trading strategies using ...
Haibin Li, Mingzhu Sun, Ziqi Wang
doaj  

Accuracy of Implied Volatility Approximations Using "Nearest-to-the-Money" Option Premiums [PDF]

open access: yes
Implied volatility is a useful bit of information for futures and options hedgers and speculators. However, extraction of implied volatility from Black-Scholes (BS) option pricing model requires a numeric search.
Bridges, William   +3 more
core   +1 more source

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