Results 11 to 20 of about 9,061 (184)
Forecasting realized volatility through financial turbulence and neural networks
Economics and Business Review, 2023 This paper introduces and examines a novel realized volatility forecasting model that makes use of Long Short-Term Memory (LSTM) neural networks and the risk metric financial turbulence (FT).
Souto Hugo Gobato, Moradi Amir
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How to fly to safety without overpaying for the ticket
Economics and Business Review, 2023 For most active investors treasury bonds (govs) provide diversification and thus reduce the risk of a portfolio. These features of govs become particularly desirable in times of elevated risk which materialize in the form of the flight-to-safety (FTS ...
Kaczmarek Tomasz, Grobelny Przemysław
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Implementation of the C45 Algorithm in Classifying Classes
Jurnal Mandiri IT, 2022 Mts Swasta YPII Kotarih is one of the educational institutions which in its implementation classifies several classes for students, one of which is the superior class. However, in practice, each person is still selected based on the rank in each class, making the classification process less accurate and efficient, a computerized classification ...
Nellysa Putri Denila Nasution +1 more
openaire +2 more sources
Economics and Business Review, 2020 The main goal of this research is to analyse the investment benefits from an incorporation of the volatility exposure to the diversified portfolio from the perspective of a Polish investor.
Latoszek Michał, Ślepaczuk Robert
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Impact of Grinding Depth on Dislocation Structures and Surface Hardening in C45 Steel [PDF]
MaterialsPasquale Cavaliere +2 more
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PLoS ONE, 2021 Rhinoviruses (RV) are a major cause of Severe Acute Respiratory Infection (SARI) in children, with high genotypic diversity in different regions. However, RV type diversity remains unknown in several regions of the world.
Sondes Haddad-Boubaker +10 more
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Folia Oeconomica Stetinensia, 2018 The aim of this research study is to test the effectiveness of the single-sectional integrated model, in which a neural network is applied to support a regression, as a consistent tool for short-term forecasting of hourly demand (in sec.) for ...
Kaczmarczyk Paweł
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Comparing classification algorithms for prediction on CROBEX data
Croatian Review of Economic, Business and Social Statistics, 2020 The main objective of this analysis is to evaluate and compare the various classification algorithms for the automatic identification of favourable days for intraday trading using the Croatian stock index CROBEX data.
Jerić Silvija Vlah
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Deep Learning Predictive Models for Terminal Call Rate Prediction during the Warranty Period
Business Systems Research, 2020 Background: This paper addresses the problem of products’ terminal call rate (TCR) prediction during the warranty period. TCR refers to the information on the amount of funds to be reserved for product repairs during the warranty period.
Ferencek Aljaž +4 more
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Croatian Review of Economic, Business and Social Statistics, 2023 The prediction of financial distress has emerged as a significant concern over a prolonged period spanning more than half a century. This subject has garnered considerable attention owing to the precise outcomes derived from its predictive models.
Sabek Amine
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