Results 41 to 50 of about 114,012 (307)

Forecasting Bitcoin Volatility Spikes From Whale Transactions and CryptoQuant Data Using Synthesizer Transformer Models

open access: yesIEEE Access
The cryptocurrency market is highly volatile compared to traditional financial markets. Hence, forecasting its volatility is crucial for risk management. In this paper, we investigate CryptoQuant data (e.g.
Dorien Herremans, Kah Wee Low
doaj   +1 more source

Evaluating Volatility and Correlation Forecasts [PDF]

open access: yes, 2009
This chapter considers the problems of evaluation and comparison of volatility forecasts, both univariate (variance) and multivariate (covariance matrix and/or correlation). We pay explicit attention to the fact that the object of interest in these applications is unobservable, even ex post, and so the evaluation and comparison of volatility forecasts ...
Andrew J. Patton, Kevin Sheppard
openaire   +3 more sources

Influence of Sample Preparation and Processing Procedures on the Thermal Diffusivity of MgO‐C Refractories

open access: yesAdvanced Engineering Materials, EarlyView.
The thermal diffusivity of MgO‐C refractories is highly sensitive to sample preparation and processing procedures. In this article, the effects of coking sequence, machining conditions, structural inhomogeneity, and graphite coating application on measurements using laser flash apparatus are systematically investigated.
Luyao Pan   +4 more
wiley   +1 more source

Innovative Study on Volatility Prediction Model for New Energy Stock Indices

open access: yesIEEE Access
Stock market volatility is a pivotal research area in finance, and accurately forecasting stock market volatility has long been a challenge for both academia and practice.
Yanguo Li, Chao Long
doaj   +1 more source

Volatility Forecasting Model-Free Implied Volatility [PDF]

open access: yesAdvances in Social Science, Education and Humanities Research, 2015
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

Characterization of Nitinol Produced by Laser Powder Bed Fusion for Mechanical Metamaterial Applications

open access: yesAdvanced Engineering Materials, EarlyView.
Stabilization of L‐PBF Ni50.7Ti49.3 under low‐cycle loading was investigated. Recoverable strain after cycling was dependent on the amount of applied load. Recovery ratio was 53.4% and 35.1% at intermediate and high load, respectively. The maximum total strain reached 10.3% at a high load of 1200 MPa.
Ondřej Červinek   +5 more
wiley   +1 more source

Volatility forecasts: a continuous time model versus discrete time models [PDF]

open access: yes, 2006
This paper compares empirically the forecasting performance of a continuous time stochastic volatility model with two volatility factors (SV2F) to a set of alternative models (GARCH, FIGARCH, HYGARCH, FIEGARCH and Component GARCH).
Veiga, Helena
core   +1 more source

Modeling and forecasting exchange rate volatility in time-frequency domain [PDF]

open access: yes, 2015
This paper proposes an enhanced approach to modeling and forecasting volatility using high frequency data. Using a forecasting model based on Realized GARCH with multiple time-frequency decomposed realized volatility measures, we study the influence of ...
Barunik, Jozef   +2 more
core   +1 more source

Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios   +5 more
wiley   +1 more source

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