Stock market prediction with gaussian naïve bayes machine learning algorithm

EK Ampomah, G Nyame, Z Qin, PC Addo, EO Gyamfi… - Informatica, 2021 - informatica.si
The stock market is one of the key sectors of a country's economy. It provides investors with
an opportunity to invest and gain returns on their investment. Predicting the stock market is a …

News media analytics in finance: a survey

T Marty, B Vanstone, T Hahn - Accounting & Finance, 2020 - Wiley Online Library
We survey the works applying text analytics to the study of news media in financial markets
beyond intraday horizons, and expand into the fundamental economic theory and concepts …

Bayesian method for parameter estimation in transient heat transfer problem

AI Khan, MM Billah, C Ying, J Liu, P Dutta - International Journal of Heat …, 2021 - Elsevier
Like many other scientific fields, an inverse technique is used to find unknown material
properties (such as thermal conductivity, specific heat) or boundary conditions (eg heat flux …

Multistep‐Ahead Stock Price Forecasting Based on Secondary Decomposition Technique and Extreme Learning Machine Optimized by the Differential Evolution …

Z Tang, T Zhang, J Wu, X Du… - Mathematical Problems in …, 2020 - Wiley Online Library
The prediction research of the stock market prices is of great significance. Based on the
secondary decomposition techniques of variational mode decomposition (VMD) and …

Hm-smf: An efficient strategy optimization using a hybrid machine learning model for stock market prediction

KV Rao, BV Ramana Reddy - International Journal of Image and …, 2024 - World Scientific
Stock market forecasting is a significant task, and investing in the stock marketplace is a
significant part of monetary research due to its high risk. Therefore, accurate forecasting of …

The impact of abnormal news sentiment on financial markets

SY Yang, Q Song, SY Mo, K Datta… - Available at SSRN …, 2015 - papers.ssrn.com
News sentiment has been empirically observed to have impact on financial market.
However, finding a clear predictor of market returns using news sentiment remains a …

Do negative events really have deteriorating effects on stock performance? A comparative study on Tesla (US) and Nio (China)

YX Lim, C Tan - Journal of Asian Business and Economic Studies, 2022 - emerald.com
Purpose Both investors and the stock markets are believed to behave in a perfectly rational
manner, where investors focus on utility maximization and are not subjected to cognitive …

Previsibilidade do Retorno das Ações pela Análise do Sentimento Textual: uma revisão

RS de Carvalho… - … de Educação e …, 2023 - repec.emnuvens.com.br
Objetivo: Analisar a evolução das pesquisas com a abordagem de análise textual como
ferramenta de predição do retorno das ações no mercado de capitais. Método: Revisão …

Leading research trends on trading strategies

J Oliver-Muncharaz, F García García - Finance, Markets and Valuation, 2020 - riunet.upv.es
[ES] La creación de estrategias de inversión siempre ha atraído la atención de los
académicos y de los inversores profesionales, pero, indudablemente, esta popularidad ha …

OFML-SMF: Optimal feature selection with hybrid machine learning classifier for stock market price forecasting using social media and secondary data sources

KV Rao, BVR Reddy - Multimedia Tools and Applications, 2024 - Springer
Investing in stock market is considered a high-risk monetary motion where investor may not
take into version the factor of stock charge fluctuations or destroy their profits without gaining …