Results 161 to 170 of about 184,957 (285)

Renewable Energy Use, Agricultural Productivity, and Economic Expansion Impact on Environmental Sustainability in India

Energy Science &Engineering, EarlyView.
ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan, Radulescu Magdalena, Duraisamy Pachiyappan, Nadia Sha, Marian Cristescu   +4 more
wiley   +1 more source

Why working from home varies across countries and people. [PDF]

Proc Natl Acad Sci U S A
Zarate P, Barrero JM, Bloom N, Davis SJ, Dolls M, Aksoy CG.   +5 more
europepmc   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Comparing Sociodemographic, Health Status and Resources, Macroeconomic Status, and Environmental Factors on Infant Mortality Rates in Bahrain, Kuwait, and Oman: Longitudinal Time-Series Study. [PDF]

JMIR Pediatr Parent
Al-Saqry MY, Eltayib RAA, Al-Busaidi AA, Chan MF.   +3 more
europepmc   +1 more source

Manufacturing Wage Dispersion: An End Game Interpretation [PDF]

macroeconomics, manufacturing, wage dispersion, cyclical ...
Colin Lawrence, Robert Z. Lawrence
core  

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Stochastic responses and marginal valuation. [PDF]

Proc Natl Acad Sci U S A
Hansen LP, Souganidis P.
europepmc   +1 more source

Bank Regulation and the Effectiveness of Open Market Operations [PDF]

macroeconomics, international, open markets, bank ...
John H. Kareken
core  

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Publishing sleep and chronobiology research without barriers. [PDF]

NPJ Biol Timing Sleep
O'Neill J.
europepmc   +1 more source