Cargando…

Application of Cloud Model in Qualitative Forecasting for Stock Market Trends

Forecasting stock prices plays an important role in setting a trading strategy or determining the appropriate timing for buying or selling a stock. The use of technical analysis for financial forecasting has been successfully employed by many researchers. The existing qualitative based methods devel...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hassen, Oday A., Darwish, Saad M., Abu, Nur A., Abidin, Zaheera Z.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597316/ https://www.ncbi.nlm.nih.gov/pubmed/33286760 http://dx.doi.org/10.3390/e22090991

Ejemplares similares

Housing market forecasts via stock market indicators
por: Mittal, Varun, et al.
Publicado: (2023)

Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets
por: Pyo, Sujin, et al.
Publicado: (2017)

Forecasting China’s stock market risk under the background of the Stock Connect programs
por: Chen, Wei, et al.
Publicado: (2023)

Stock market modeling and forecasting: a system adaptation approach
por: Zheng, Xiaolian, et al.
Publicado: (2013)

COVID-19 forecasts via stock market indicators
por: Liang, Yi, et al.
Publicado: (2022)

Investigating Deep Stock Market Forecasting with Sentiment Analysis
por: Liapis, Charalampos M., et al.
Publicado: (2023)

Stock Market Forecasting Based on Spatiotemporal Deep Learning
por: Li, Yung-Chen, et al.
Publicado: (2023)

Cloud based evaluation of databases for stock market data
por: Singh, Baldeep, et al.
Publicado: (2022)

Stock Market Forecasting Using Restricted Gene Expression Programming
por: Yang, Bin, et al.
Publicado: (2019)

Regional analytics and forecasting for most affected stock markets: The case of GCC stock markets during COVID-19 pandemic
por: Alkhatib, Khalid, et al.
Publicado: (2021)

Integration of genetic algorithm with artificial neural network for stock market forecasting
por: Sharma, Dinesh K., et al.
Publicado: (2021)

Does oil price uncertainty matter in stock market volatility forecasting?
por: Qin, Peng, et al.
Publicado: (2022)

Hybrid Machine Learning Technique for Forecasting Dhaka Stock Market Timing Decisions
por: Banik, Shipra, et al.
Publicado: (2014)

Application of Supervised Machine Learning Techniques to Forecast the COVID-19 U.S. Recession and Stock Market Crash
por: Malladi, Rama K.
Publicado: (2022)

ℓ (p)-Norm Multikernel Learning Approach for Stock Market Price Forecasting
por: Shao, Xigao, et al.
Publicado: (2012)

Improving forecasting accuracy for stock market data using EMD-HW bagging
por: Awajan, Ahmad M., et al.
Publicado: (2018)

The Application of Fractal Transform and Entropy for Improving Fault Tolerance and Load Balancing in Grid Computing Environments
por: Khorsheed, Murad B., et al.
Publicado: (2020)

Multifractal Company Market: An Application to the Stock Market Indices
por: Chorowski, Michał, et al.
Publicado: (2022)

Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles
por: Suzuki, Masahiro, et al.
Publicado: (2022)

Is There Any Overtrading in Stock Markets? The Moderating Role of Big Five Personality Traits and Gender in a Unilateral Trend Stock Market
por: Zhang, Jian, et al.
Publicado: (2014)

How to Promote the Performance of Parametric Volatility Forecasts in the Stock Market? A Neural Networks Approach
por: Su, Jung-Bin
Publicado: (2021)

An Intelligent Fusion Model with Portfolio Selection and Machine Learning for Stock Market Prediction
por: Padhi, Dushmanta Kumar, et al.
Publicado: (2022)

Not your grandma's stock market: the stock market has changed, and not for the better
por: McTague, Jim, et al.
Publicado: (2011)

Modelling stock market volatility.
Publicado: (1996)

CEGH: A Hybrid Model Using CEEMD, Entropy, GRU, and History Attention for Intraday Stock Market Forecasting
por: Liu, Yijiao, et al.
Publicado: (2022)

Propensity to sell stocks in an artificial stock market
por: Prates, Wlademir, et al.
Publicado: (2019)

SutteARIMA: Short-term forecasting method, a case: Covid-19 and stock market in Spain
por: Ahmar, Ansari Saleh, et al.
Publicado: (2020)

Exponentially Weighted Multivariate HAR Model with Applications in the Stock Market
por: Hong, Won-Tak, et al.
Publicado: (2022)

Global platinum market (2020 to 2025) - growth, trends, and forecast
Publicado: (2020)

Mastering the stock market: high probability market timing & stock selection tools
por: Person, John L
Publicado: (2013)

Pandemics and the emerging stock markets
por: Salisu, Afees A., et al.
Publicado: (2020)

Forecasting stock market volatility with a large number of predictors: New evidence from the MS-MIDAS-LASSO model
por: Li, Xiafei, et al.
Publicado: (2022)

Modeling Markov Switching ARMA-GARCH Neural Networks Models and an Application to Forecasting Stock Returns
por: Bildirici, Melike, et al.
Publicado: (2014)

Encyclopedia of stock market techniques.
Publicado: (1968)

The Efficiency of China's Stock Market
por: Ma, Shiguang
Publicado: (2017)

Quantifying the randomness of the stock markets
por: Delgado-Bonal, Alfonso
Publicado: (2019)

Fear of the coronavirus and the stock markets
por: Lyócsa, Štefan, et al.
Publicado: (2020)

The stock market as a casino: Associations between stock market trading frequency and problem gambling
por: Mosenhauer, Moritz, et al.
Publicado: (2021)

Dependence between Chinese stock market and Vietnamese stock market during the Covid-19 pandemic
por: Nguyen, Van Chien, et al.
Publicado: (2022)

Forecasting leading industry stock prices based on a hybrid time-series forecast model
por: Tsai, Ming-Chi, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_mtlo3i6kb9fssf8o41f6h38t73