Results 71 to 80 of about 2,559 (193)

Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan   +3 more
wiley   +1 more source

The impact of new millennium crises on the power of Islamic banks in deposit markets

open access: yesInternational Journal of Finance &Economics, EarlyView.
Abstract We investigate the impact of three crises on the power of Islamic banks in deposit markets: the Global Financial Crisis, 2007–2009 (GFC), the Arab Spring political crisis, 2011–2013, and the COVID‐19 health crisis, 2020–2022. Applying difference‐in‐difference (DID) and GMM techniques to panel data for 2004–2022, we find that the power of ...
Maryam Alhalboni, Kenneth Baldwin
wiley   +1 more source

Integrating sustainable finance into energy policies: A comprehensive study on the influence of green investments on energy performance in OECD nations

open access: yesInternational Journal of Finance &Economics, EarlyView.
Abstract This research investigates the interplay between sustainable finance, energy policies, and environmental outcomes in OECD countries from 2005 to 2018. Recognising the pivotal role of OECD countries in global sustainability efforts, this study focuses on Australia, Belgium, Denmark, Germany, Japan, Norway, Portugal, Spain, Sweden, and ...
Bilgehan Tekin   +2 more
wiley   +1 more source

Non-stationary Bandit Convex Optimization: A Comprehensive Study [PDF]

open access: yesarXiv
Bandit Convex Optimization is a fundamental class of sequential decision-making problems, where the learner selects actions from a continuous domain and observes a loss (but not its gradient) at only one point per round. We study this problem in non-stationary environments, and aim to minimize the regret under three standard measures of non ...
arxiv  

Non-stationarity of isomorphism between AF algebras defined by stationary Bratteli diagrams [PDF]

open access: green, 2000
Ola Bratteli   +3 more
openalex   +1 more source

The impact of cryptocurrency heists on Bitcoin's market efficiency

open access: yesInternational Journal of Finance &Economics, EarlyView.
Abstract Within the adaptive market hypothesis (AMH) framework, this study explores the dynamic impact of cryptocurrency heists on Bitcoin's market efficiency. By analysing Bitcoin's one‐minute price data, we calculate permutation entropy to assess market disorder and employ the complexity‐entropy causality plane to quantify structural changes in the ...
Mingnan Li, Viktor Manahov, John Ashton
wiley   +1 more source

Connectedness Structure and Volatility Dynamics Between BRICS Markets and International Volatility Indices: An Investigation

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This research aims to explore and understand the dynamic nature of volatility connectedness between BRICS stock markets and various asset price implied volatility indices through a TVP‐VAR broadened connectedness approach. Results display nontrivial dynamic connectedness in the BRICS stock markets and uncertainties in different markets during ...
Halilibrahim Gökgöz   +3 more
wiley   +1 more source

Detection of trends for extreme events of precipitation in the Metropolitan Region of Belo Horizonte through statistical methods

open access: yesRevista Brasileira de Recursos Hídricos, 2018
Extreme weather events have emerged as one of the main manifestations of climate change, being that the mitigation of the elapsed impacts demand studies of the magnitude and frequency of their occurrence. This study aims to identify the trends of extreme
Aline de Araújo Nunes   +2 more
doaj   +1 more source

Tracking Changing Probabilities via Dynamic Learners [PDF]

open access: yesarXiv
Consider a predictor, a learner, whose input is a stream of discrete items. The predictor's task, at every time point, is probabilistic multiclass prediction, i.e. to predict which item may occur next by outputting zero or more candidate items, each with a probability, after which the actual item is revealed and the predictor updates.
arxiv  

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