Results 241 to 250 of about 406,832 (292)

Forecasting Energy Efficiency in Manufacturing: Impact of Technological Progress in Productive Service and Commodity Trades

Journal of Forecasting, EarlyView.
ABSTRACT This paper employs the theory of biased technological progress to assess the effects of technological advancements across diverse trades, with a particular emphasis on predicting energy efficiency. A translog cost function model is developed, integrating five critical types of energy inputs.
Zixiang Wei, Yongchao Zeng, Yingying Shi, Ioannis Kyriakou, Muhammad Shahbaz   +4 more
wiley   +1 more source

A hybrid simulation model of HIV program interventions: from transmission behavior to macroeconomic impacts. [PDF]

Ther Adv Drug Saf
Crown W, Britton E, Razavi M, Luan Y, Veerunaidu S, Kates J, Gaumer G, Jordan M, Hurley CL, Nandakumar AK.   +9 more
europepmc   +1 more source

Climate Change Risk and Financial Market Response: An International Evidence From Performance Forecasts by Financial Analysts

Journal of Forecasting, EarlyView.
ABSTRACT This study examines the effect of climate change exposure on analysts' forecasted stock performance operationalized by their actual recommendations. Our results indicate that firms with higher exposure to climate change receive less favorable recommendations from analysts.
Cyrine Khiari, Imen Khanchel, Hatem Rjiba, Josephat Daniel Lotto, Nazim Hussain   +4 more
wiley   +1 more source

Development of a Theoretical Model for the Price Formation of Agri-Food Products in the Food Supply Chain: A Slovenian Case Study. [PDF]

Foods
Prišenk J, Zidar N, Turk J.
europepmc   +1 more source

Econometric Modelling of European Money Demand

, 2003
Engelbert Plassmann
openalex   +1 more source

Measuring the Default Risk of Small Business Loans: Improved Credit Risk Prediction Using Deep Learning

Journal of Forecasting, EarlyView.
ABSTRACT This paper proposes a multilayer artificial neural network (ANN) method to predict the probability of default (PD) within a survival analysis framework. The ANN method captures hidden interconnections among covariates that influence PD, potentially leading to improved predictive performance compared to both logit and skewed logit models.
Yiannis Dendramis, Elias Tzavalis, Aikaterini Cheimarioti   +2 more
wiley   +1 more source

The Information Content of Overnight Information for Volatility Forecasting: Evidence From China's Stock Market

Journal of Forecasting, EarlyView.
ABSTRACT Using overnight volatility as the proxy for overnight information, this paper models future Chinese stock market realized range–based volatility (RRV) within a class of heterogeneous autoregressive models augmented by this proxy. We confirm the important role of overnight information in volatility forecasting models with strong evidence from ...
Yi Zhang, Long Zhou, Zhidong Liu
wiley   +1 more source

Assessing the socioeconomic and environmental determinants of flood vulnerability in India: a panel data approach. [PDF]

Sci Rep
Felix KT, Balasubramanian M, Govindarajan PL, Kesav B.   +3 more
europepmc   +1 more source

Commodity Option Return Predictability

Journal of Futures Markets, EarlyView.
ABSTRACT This paper investigates the predictability of delta‐hedged commodity option returns using 103 predictors. We estimate several linear and nonlinear machine learning models and forecast ensembles using futures options data on seven commodities.
Constant Aka, Marie‐Hélène Gagnon, Gabriel J. Power   +2 more
wiley   +1 more source

Comprehensive evaluation model of ecotourism, economic development and ecological environment-taking Shennongjia National Park as an example. [PDF]

Front Public Health
Cui X.
europepmc   +1 more source