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Hanna Zofia Kolodziejczyk
Pág. 7 - 16
Financial market participants are influenced by the news reaching them from all manner of sources, including the country?s central bank. In this paper we model daily returns of WIG20 index with respect to announcements made by the National Bank of Poland...
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Mattia Pellegrino, Gianfranco Lombardo, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos and Agostino Poggi
With the recent advances in machine learning (ML), several models have been successfully applied to financial and accounting data to predict the likelihood of companies? bankruptcy. However, time series have received little attention in the literature, w...
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SungSup Brian Choi, Kudzai Sauka and MiYoung Lee
This research investigates the factors influencing the capital structure of 271 non-financial firms listed on the Korean Stock Exchange (KSE) over a broad period from 1995 to 2021, encompassing both stable and crisis conditions. Employing a dynamic panel...
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Tarek Eldomiaty, Islam Azzam, Mostafa Fouad and Yasmeen Said
The progress of financial markets depends on the way world investors foresee the market potential of the country of choice. Countries that are associated with favorable economic incentives are able to motivate investments in their respective stock market...
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Mosab I. Tabash, Neenu Chalissery, T. Mohamed Nishad and Mujeeb Saif Mohsen Al-Absy
Market turbulences and their impact on the financial market, particularly on the stock market, is a financial topic that has received significant research attention recently. This study compared the characteristics of stock return and volatility in selec...
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Enrique González-Núñez, Luis A. Trejo and Michael Kampouridis
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model and ...
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Maashele Kholofelo Metwane and Daniel Maposa
Financial market data are abundant with outliers, and the search for an appropriate extreme value theory (EVT) approach to apply is an endless debate in the statistics of extremes research. This paper uses EVT methods to model the five-year daily all-sha...
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Damianos P. Sakas, Nikolaos T. Giannakopoulos, Markos Margaritis and Nikos Kanellos
Due to the volatility of the markets and the ongoing crises (COVID-19, the Ukrainian war, etc.), investors are keen to exploit any potential chances to make profits. For this reason, the idea of harvesting data from cryptocurrency market users takes an i...
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Mosab I. Tabash, Umaid A. Sheikh, Ali Matar, Adel Ahmed and Dang Khoa Tran
The existing literature has explained the causality flow from the exchange rates toward the stock market without explaining the role of the economic crisis in effecting this nexus. This study examines the role of the financial crisis in affecting the non...
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Bikram Pratim Bhuyan, Vaishnavi Jaiswal and Amar Ramdane Cherif
Investors at well-known firms are increasingly becoming interested in stock forecasting as they seek more effective methods to predict market behavior using behavioral finance tools. Accordingly, studies aimed at predicting stock performance are gaining ...
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