Results 131 to 140 of about 392,758 (334)

Modeling of Currency Covolatilities [PDF]

Statistika: Statistics and Economy Journal, 2019
The paper deals with dynamic modeling of currency portfolios. In contrast to univariate models of exchange rates and their returns one applies multivariate time series models of the type GARCH that are capable of capturing not only conditional ...
Tomáš Cipra, Radek Henych
doaj  

Cointegration and conditional correlations among German and Eastern Europe equity markets [PDF]

This paper aims to examine the long term relationship between German and three Central and Eastern Europe (CEE) equity markets. Application of Johansen as well as Engle-Granger cointegration tests show that there is no long-term relationship among these ...
Guidi, Francesco, Gupta, Rakesh
core   +1 more source

Inactivation Rap2a in Endothelial Cell Prevents Pulmonary Fibrosis by Regulating Immune Microenvironment Through MAP4K4‐VCAM1 Signaling

Advanced Science, EarlyView.
We identified the endothelial RAP2A as a regulator of inflammatory endothelial activation in experimental lung fibrosis and suggest that targeting RAP2A‐mediated signaling may represent a potential strategy to modulate endothelial–immune crosstalk during fibrotic lung injury.
Xiaolan Zheng, Peng Yue, Kaiyu Zhou, Guidong Gong, Yue Zhang, Sha Lin, Xu Liu, Yanjiang Zheng, Siyuan Jing, Junling Guo, Yan Qi, Bi‐Sen Ding, Yimin Hua, Yifei Li   +13 more
wiley   +1 more source

Assessing conditional volatility due to trade war in the G-7 stock markets

Social Sciences and Humanities Open
We investigate dynamic conditional correlations between Trade War on the stock markets of G-7 Countries using DCC Garch Modeling evidencing that strong market efficiency has an inverse relationship with stock market volatility.
Anum Shafique, Nousheen Tariq Bhutta
doaj   +1 more source

N4‐acetylcytidine in LncRNA Gm26917 Promotes Translation in Female Germline Stem Cells by Recruiting Ribosomal Protein mRNA via EEF1A1

Advanced Science, EarlyView.
This work establishes that ac4C modification on lncRNA Gm26917 governs its spatial interactions with Rpl10 mRNA, and RBP EEF1A1 mediates the interaction between Gm26917 and Rpl10. It elucidates a novel ac4C‐Gm26917‐EEF1A1‐Rpl10 axis in FGSC maintenance both in vitro and in vivo, and provides a potential molecular target for modulating germ cell ...
Xinyue Li, Xiaopeng Hu, Ji Wu
wiley   +1 more source

Time-Varying Correlations between JSE.JO Stock Market and Its Partners Using Symmetric and Asymmetric Dynamic Conditional Correlation Models

Stats
The extent of correlation or co-movement among the returns of developed and emerging stock markets remains pivotal for efficiently diversifying global portfolios.
Anas Eisa Abdelkreem Mohammed, Henry Mwambi, Bernard Omolo   +2 more
doaj   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Model and distribution uncertainty in multivariate GARCH estimation: a Monte Carlo analysis [PDF]

Multivariate GARCH models are in principle able to accommodate the features of the dynamic conditional correlations processes, although with the drawback, when the number of financial returns series considered increases, that the parameterizations entail
Rossi, Eduardo, Spazzini, Filippo
core   +1 more source

A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics [PDF]

, 2016
The paper derives a Multivariate Asymmetric Long Memory conditional volatility model with Exogenous Variables (X), or the MALMX model, with dynamic conditional correlations, appropriate regularity conditions, and associated asymptotic theory.
Asai, M. (Manabu), McAleer, M.J. (Michael)   +1 more
core  

Multimodal AI‐Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1

Advanced Science, EarlyView.
Renal fibrosis, a hallmark of CKD, lacks effective treatments. Herein, we developed a multimodal AI model (TCM‐SPred) to identify anti‐fibrotic agents and found that dehydrocostus lactone (DCL) targets IQGAP1 to inhibit Wnt signaling, blocking the interaction between IQGAP1 and CCT3, demonstrating potent anti‐fibrotic activity in vitro and in vivo ...
Weijiang Lin, Wenzhuo Xu, Kang Liu, Ping Wang, Zhenzhen Zhu, Wenyu Lu, Zhe Zheng, Xiaoqian Peng, Xunkai Yin, Shulan Mei, An Pan, Jian Liu, Lihong Hu   +12 more
wiley   +1 more source