Results 61 to 70 of about 1,369,451 (372)
Volatility in International Stock Markets: An Empirical Study during COVID-19
Predicting volatility is a must in the finance domain. Estimations of volatility, along with the central tendency, permit us to evaluate the chances of getting a particular result.
R. Chaudhary+2 more
semanticscholar +1 more source
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker+5 more
wiley +1 more source
Volatility in the Italian Stock Market: an Empirical Study
We study the volatility of the MIB30-stock-index high-frequency data from November 28, 1994 through September 15, 1995. Our aim is to empirically characterize the volatility random walk in the framework of continuous-time finance. To this end, we compute
Ball+11 more
core +3 more sources
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Pricing Arithmetic Asian Options under Hybrid Stochastic and Local Volatility
Recently, hybrid stochastic and local volatility models have become an industry standard for the pricing of derivatives and other problems in finance. In this study, we use a multiscale stochastic volatility model incorporated by the constant elasticity ...
Min-Ku Lee+2 more
doaj +1 more source
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source
This study investigates the magnetic properties and microstructures of 2PM‐manufactured Ce‐containing (Nd,Pr)‐Fe‐B magnets. The addition of Nd and Dy significantly enhances coercivity by 25% and 81%, respectively, attributed to core‐shell structures.
Chi‐Chia Lin+6 more
wiley +1 more source
A time series data contains a large amount of information in itself. Chaos data and volatility data which calculated by any time series are also derivative information included in the same time series. According to these assumptions, it is very important
Hüseyin Serdar Yalçınkaya+1 more
doaj +1 more source
Laboratory protocols for producing thin‐film pH electrodes for sterilized single‐use technologies have been successfully developed into a semiautomated workflow, with higher throughput and precision of membrane thickness. Accuracies are within 0.05 pH units versus ground truth, and uncertainty analysis reveals the largest sources of error to be derived
Bingyuan Zhao+4 more
wiley +1 more source
Volatility Spillover Effects in Leading Cryptocurrencies: A BEKK-MGARCH Analysis
Through the application of three pair-wise bivariate BEKK models, this paper examines the conditional volatility dynamics along with interlinkages and conditional correlations between three pairs of cryptocurrencies, namely Bitcoin-Ether, Bitcoin ...
Paraskevi Katsiampa, S. Corbet, B. Lucey
semanticscholar +1 more source