Results 151 to 160 of about 530,885 (286)

Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm

open access: yesEnergy Science &Engineering, EarlyView.
This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley   +1 more source

A Preliminary Inquiry into the Micro-level Gender Effects of Macroeconomic Adjustment Policies [PDF]

open access: yes
Serving as a preliminary to the inquiry on micro-level effects macroeconomic policies on gender, this paper presents the framework and the theoretical points of the succeeding studies on the subject. Its focus and methodology are also put in place. These
Illo, Jeanne Frances I.
core  

UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley   +1 more source

Foreign News and Spillovers in Emerging European Stock Markets [PDF]

open access: yes
We analyze foreign news and spillovers in the emerging EU stock markets (the Czech Republic, Hungary, and Poland). We employ high-frequency five-minute intraday data on stock market index returns and four classes of EU and U.S.
Evzen Kocenda, Jan Hanousek
core  

When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley   +1 more source

CENTRAL BANK INDEPENDENCE AND MACROECONOMIC PERFORMANCES - AN EMPIRICAL APPROACH [PDF]

open access: yes
The empirical evidence upon the macroeconomic performances of the independent central banks do not always have been successfully. In some cases, the consistency of the indices based on the interpretation of central banks statues used for measuring the ...
Coroiu Sorina, Dumiter Florin Cornel
core  

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

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