Zobrazeno 1 - 10
of 1 226
pro vyhledávání: '"Financial forecasting"'
Autor:
Silver, Steven D.
Publikováno v:
Review of Behavioral Finance, 2024, Vol. 16, Issue 5, pp. 836-859.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RBF-09-2023-0237
Autor:
Lu Wang
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 8, Pp 2971-2979 (2024)
Organizations are becoming more productive due to the digital economy because they can presently employ technologies that automate various tasks and procedures. The digital economy, which is driven by the network infrastructure, is an advanced field
Externí odkaz:
https://doaj.org/article/221404b5850748ed981661822b69c327
Publikováno v:
Intelligent Systems with Applications, Vol 24, Iss , Pp 200439- (2024)
Intelligent forecasters are now being considered in the stock market, providing essential insights and strategic guidance to investors and traders by presenting analytical tools and predictive models, thus enabling informed decision-making and mitiga
Externí odkaz:
https://doaj.org/article/b95b95923fd44398ad7d421d677873f7
Publikováno v:
Intelligent Systems with Applications, Vol 24, Iss , Pp 200449- (2024)
In this paper, a machine learning approach is proposed to predict the next day's stock prices. The methodology involves comprehensive data collection and feature generation, followed by predictions utilizing Multi-Layer Perceptron (MLP) networks. We
Externí odkaz:
https://doaj.org/article/5f1b68e3091e49878584771e375dca10
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 10, Pp 102252- (2024)
When it comes to financial decision-making, stock market predictability is extremely important since it offers valuable information that may guide investment strategies, risk management, and portfolio allocation overall. Traditional methods often fai
Externí odkaz:
https://doaj.org/article/b23c7d44ed9c4ff2a4bc02021baedbbd
Autor:
Nico Beck, Julia Schemm, Claudia Ehrig, Benedikt Sonnleitner, Ursula Neumann, Hans Georg Zimmermann
Publikováno v:
PeerJ Computer Science, Vol 10, p e2481 (2024)
We present the package prosper_nn, that provides four neural network architectures dedicated to time series forecasting, implemented in PyTorch. In addition, prosper_nn contains the first sensitivity analysis suitable for recurrent neural networks (R
Externí odkaz:
https://doaj.org/article/a4b25fa7413c478585ac94eaa2859fcd
Autor:
Akash Deep
Publikováno v:
Quantitative Finance and Economics, Vol 8, Iss 2, Pp 286-314 (2024)
This paper presents a novel integration of Machine Learning (ML) models with Monte Carlo simulations to enhance financial forecasting and risk assessments in dynamic market environments. Traditional financial forecasting methods, which primarily rely
Externí odkaz:
https://doaj.org/article/05677d64e5134c14835ac2ed5f56c884
Autor:
Wojciech Kuryłek
Publikováno v:
Data Science in Finance and Economics, Vol 4, Iss 2, Pp 218-235 (2024)
Forecasting earnings for publicly traded companies is of paramount significance for investments, which is the background of this research. This holds particularly true in emerging markets where the coverage of these companies by financial analysts' p
Externí odkaz:
https://doaj.org/article/df08b1f6a32c476895cf6b9478cee7c8
Publikováno v:
Macroeconomic Risk and Growth in the Southeast Asian Countries: Insight from SEA
