Results 41 to 50 of about 87,160 (322)

Impact of Sanction Shock on Iran's Stock Market Index [PDF]

Journal of Asset Management and Financing
The imposition of Western economic sanctions against Iran has had varying effects on the country's financial markets, with the capital market being one of the sectors not immune to the shockwaves of these sanctions. Given the pivotal role of sanctions in
Reza Tehrani, Mahmood Mokhtarband, Menal Aboodeh   +2 more
doaj   +1 more source

Effect of Changes in Age Structure of the Population on Government Consumption Expenditure: An Approach of Mixed Frequency Data Sampling (MIDAS) [PDF]

پژوهشهای اقتصادی, 2018
Population age structure is a main factor affecting government consumption expenditure. This paper examines the effects of changes in population age structure on government consumption expenditure by using a Mixed Frequency Data Sampling (MIDAS) approach.
Mohammad Noferesti, Vida Varahrami, sahar dashtban farooji   +2 more
doaj  

MiDAS 5: Global diversity of bacteria and archaea in anaerobic digesters

bioRxiv
Anaerobic digestion represents a key biotechnology for the transformation of organic waste into renewable energy (biogas) and relies on complex microbial communities that work in concert to degrade the complex substrates into methane and carbon dioxide ...
M. K. D. Dueholm, K. S. Andersen, Anne-Kirstine C. Petersen, Vibeke Rudkjøbing, Madalena Alves, Y. Bajón-Fernández, Damien Batstone, Caitlyn S Butler, Mercedes Cecilia Cruz, Åsa Davidsson, L. Erijman, C. Holliger, Konrad Koch, N. Kreuzinger, Changsoo Lee, G. Lyberatos, S. Mutnuri, Vincent O’Flaherty, P. Oleskowicz-Popiel, Dana Pokorna, V. Rajal, Michael Recktenwald, Jorge Rodríguez, P. Saikaly, Nick Tooker, J. Vierheilig, J. Vrieze, Christian Wurzbacher, P. H. Nielsen   +28 more
semanticscholar   +1 more source

Prediction of Carbon Emissions in China’s Power Industry Based on the Mixed-Data Sampling (MIDAS) Regression Model

Atmosphere, 2022
China is currently the country with the largest carbon emissions in the world, to which, the power industry contributes the greatest share. To reduce carbon emissions, reliable and timely forecasting measures are important and necessary.
Xiaoxiang Xu, M. Liao
semanticscholar   +1 more source

Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS

Nature Biotechnology
Integrating single-cell datasets produced by multiple omics technologies is essential for defining cellular heterogeneity. Mosaic integration, in which different datasets share only some of the measured modalities, poses major challenges, particularly ...
Zhen He, Shuofeng Hu, Yaowen Chen, Sijing An, Jiahao Zhou, Runyan Liu, Junfeng Shi, Jing Wang, Guohua Dong, Jinhui Shi, Jiaxin Zhao, Ou-Yang Le, Yuan Zhu, Xiaochen Bo, Xiaomin Ying   +14 more
semanticscholar   +1 more source

Does MIDAS reduction at 3 months predict the outcome of erenumab treatment? A real-world, open-label trial

The Journal of Headache and Pain, 2022
Background In Italy, monoclonal antibodies targeting the CGRP pathway are subsidized for the preventive treatment of high frequency and chronic migraine (CM) in patients with a MIgraine Disability ASsessment (MIDAS) score ≥ 11.
R. De Icco, G. Vaghi, M. Allena, N. Ghiotto, E. Guaschino, D. Martinelli, Lara Ahmad, Michele Corrado, Federico Bighiani, Federica Tanganelli, Sara Bottiroli, Francescantonio Cammarota, G. Sances, C. Tassorelli   +13 more
semanticscholar   +1 more source

Climate Change and Asian Stock Markets: A GARCH-MIDAS Approach

Asian Economics Letters, 2022
This study investigates the effect of climate change on Asian stock markets using Generalized Autoregressive Conditional Heteroskedasticity variant of Mixed Data Sampling (GARCH-MIDAS) model.
Tirimisiyu F. Oloko, Idris A. Adediran, Olalekan T. Fadiya   +2 more
semanticscholar   +1 more source

Forecasting Renminbi Exchange Rate Volatility Using CARR-MIDAS Model

Complexity, 2022
In this study, we propose to employ the conditional autoregressive range-mixed-data sampling (CARR-MIDAS) model to model and forecast the renminbi exchange rate volatility. The CARR-MIDAS model exploits intraday information from the intraday high and low
Xinyu Wu, Mengqi Wu
doaj   +1 more source

Improving forecasting accuracy using quantile regression neural network combined with unrestricted mixed data sampling

Journal of Nigerian Society of Physical Sciences, 2023
A traditional regression method involving time series variables is often observed at the same frequencies. In a situation where the frequencies differ, the higher ones are averaged or aggregated to the lower frequency.
Umaru Hassan, Mohd Tahir Ismail
doaj   +1 more source

Forecasting the Volatility of European Union Allowance Futures with Climate Policy Uncertainty Using the EGARCH-MIDAS Model

Sustainability, 2022
We propose the EGARCH-MIDAS-CPU model, which incorporates the leverage effect and climate policy uncertainty (CPU) to model and forecast European Union allowance futures’ (EUAF) volatility.
Xinyu Wu, Xuebao Yin, Xu Mei
semanticscholar   +1 more source