Results 201 to 210 of about 816,870 (348)

Bitcoin, gold and the dollar – A GARCH volatility analysis

, 2016
A. H. Dyhrberg
semanticscholar   +1 more source

Orbital‐Hybridizable Nanoseed Interphase Enables One‐Minute Rechargeable, Energy‐Dense Anode‐Free Aqueous Zinc Batteries

Advanced Materials, EarlyView.
An orbital‐hybridizable nanoseed (OHNS) interphase induces strong orbital hybridization between Zn and carbon edges, accelerating Zn nucleation while suppressing 2D surface diffusion. This interfacial electronic regulation drives uniform, dense, and (002)‐oriented Zn growth, enabling stable and fast charging behavior in anode‐free aqueous Zn batteries.
Won‐Yeong Kim, Ahyeon Son, Ohchan Kwon, Suseong Hyun, Sung Jun Hong, Hong‐I Kim, Ju Yeon Kim, Hyunseo Kang, Seung‐Hyeok Kim, Xu Liu, Kyeong‐Seok Oh, Jee Ho Ha, Seok Ju Kang, Stefano Passerini, Byungchan Han, Dae Woo Kim, Sang‐Young Lee   +16 more
wiley   +1 more source

Strategic Risk Based Forecasting of Brent Crude Oil Prices: A Comparative Analysis of Econometric and Machine Learning Models. [PDF]

Entropy (Basel)
Yılmaz TE, Zehir C.
europepmc   +1 more source

Realised power variation and stochastic volatility models [PDF]

Limit distribution results on realised power variation, that is sums of absolute powers of increments of a process, are derived for certain types of semimartingale with continuous local martingale component, in particular for a class of flexible ...
Neil Shephard, Ole E. Barndorff-Nielsen
core  

Leaf‐Inspired Eutectic Skin With Extreme Fatigue Resistance and Robust Wet Adhesion for Amphibious Epidermal Electronics

Advanced Materials, EarlyView.
Inspired by Acorus calamus leaves, a heterogeneous eutectic skin integrates an aligned fibrous network within a hydrophobic eutectogel matrix. This hierarchical architecture triggers strain‐induced crystallization to achieve exceptional mechanical toughness and durable wet adhesion.
Jiayu Hou, Jiancheng Dong, Je Hyeong Kim, Chang Zhou, Shiyin Lin, Xingyu Liu, Hao Qiu, Mengting Zheng, Yuduo Zhang, Haijun Zhu, Kangjia Geng, Yidong Peng, Haoran Liu, Yunpeng Huang, Yongsheng Luo, Steve Park, Tianxi Liu   +16 more
wiley   +1 more source

Intelligent system for portfolio optimization for novel volatility forecasting using machine learning. [PDF]

Sci Rep
Biswas T, Dey A, Mandal G, Ghosh N.
europepmc   +1 more source

Is Unlevered Firm Volatility Asymmetric?

Asymmetric volatility refers to the stylized fact that stock volatility is negatively correlated to stock returns. Traditionally, this phenomenon has been explained by the financial leverage effect.
Daouk, Hazem, Ng, David T.C.
core  

Forecasting Exchange Rate Volatility in the Presence of Jumps [PDF]

We study measures of foreign exchange rate volatility based on high-frequency (5-minute) $/DM exchange rate returns using recent nonparametric statistical techniques to compute realized return volatility and its separate continuous sample path and jump ...
Bent Jesper Christensen, Thomas Busch, Morten Ørregaard Nielsen   +2 more
core  

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

How do price spillovers between natural gas and copper-aluminum markets differ in international vs. Chinese contexts? [PDF]

PLoS One
Wang L, Lu Q, Chen T, Xiao B.
europepmc   +1 more source