Cargando…

An Intelligent Fusion Model with Portfolio Selection and Machine Learning for Stock Market Prediction

Developing reliable equity market models allows investors to make more informed decisions. A trading model can reduce the risks associated with investment and allow traders to choose the best-paying stocks. However, stock market analysis is complicated with batch processing techniques since stock pr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Padhi, Dushmanta Kumar, Padhy, Neelamadhab, Bhoi, Akash Kumar, Shafi, Jana, Yesuf, Seid Hassen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246624/ https://www.ncbi.nlm.nih.gov/pubmed/35785077 http://dx.doi.org/10.1155/2022/7588303

Ejemplares similares

Volatility correlation structure, dynamic network and portfolio implications of Chinese stock market
por: He, Chengying, et al.
Publicado: (2022)

Dynamic portfolio choice with uncertain rare-events risk in stock and cryptocurrency markets
por: Lv, Wujun, et al.
Publicado: (2023)

Revisiting the impact of foreign portfolio investment on stock market performance during COVID-19 pandemic uncertainty: Evidence from India
por: Prabheesh, K.P., et al.
Publicado: (2022)

Innovative deep matching algorithm for stock portfolio selection using deep stock profiles
por: Guo, Ganggang, et al.
Publicado: (2020)

Applied equity analysis and portfolio management: tools to analyze and manage your stock portfolio
por: Weigand, Robert A
Publicado: (2014)

Equity Markets and Portfolio Analysis
por: Johnson, R
Publicado: (2014)

Volatility Spillover Between Chinese Stock Market and Selected Emerging Economies: A Dynamic Conditional Correlation and Portfolio Optimization Perspective
por: Yadav, Miklesh Prasad, et al.
Publicado: (2022)

Dynamic association of stock market volatility, foreign portfolio investment and macroeconomic indicators by taking the impact of structural breaks
por: Shah, Sayyed Sadaqat Hussain, et al.
Publicado: (2023)

Is the ESG portfolio less turbulent than a market benchmark portfolio?
por: Ouchen, Abdessamad
Publicado: (2021)

Mutual information based stock networks and portfolio selection for intraday traders using high frequency data: An Indian market case study
por: Sharma, Charu, et al.
Publicado: (2019)

Real-Time Gender Recognition for Juvenile and Adult Faces
por: Gupta, Sandeep Kumar, et al.
Publicado: (2022)

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

Effects of Price of Gold on Bombay Stock Exchange Sectoral Indices: New Evidence for Portfolio Risk Management
por: Trabelsi, Nader, et al.
Publicado: (2021)

Stock Portfolio Structure of Individual Investors Infers Future Trading Behavior
por: Bohlin, Ludvig, et al.
Publicado: (2014)

Market-to-book ratio in stochastic portfolio theory
por: Kim, Donghan
Publicado: (2023)

Application of Cloud Model in Qualitative Forecasting for Stock Market Trends
por: Hassen, Oday A., et al.
Publicado: (2020)

Dynamic correlations and portfolio implications across stock and commodity markets before and during the COVID-19 era: A key role of gold
por: Liu, Xiaoxing, et al.
Publicado: (2022)

Can Machine Learning algorithm successfully invest in the stock market?
por: Borratynski, Marcin Andrzej
Publicado: (2021)

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

Overconfidence bias in the Indian stock market in diverse market situations: an empirical study
por: Kumar, Jitender, et al.
Publicado: (2022)

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

Hyperspectral Image Classification: Potentials, Challenges, and Future Directions
por: Datta, Debaleena, et al.
Publicado: (2022)

The large-cap portfolio: value investing and the hidden opportunity in big company stocks
por: Villalta, Thomas
Publicado: (2012)

Stock prediction and mutual fund portfolio management using curve fitting techniques
por: Maji, Giridhar, et al.
Publicado: (2021)

Optimal statistical arbitrage trading of Berkshire Hathaway stock and its replicating portfolio
por: Chen, An-Sing, et al.
Publicado: (2021)

Exploration of Stock Portfolio Investment Construction Using Deep Learning Neural Network
por: Xie, Zizheng, et al.
Publicado: (2022)

The tail dependence of the carbon markets: The implication of portfolio management
por: Zhang, Fang, et al.
Publicado: (2020)

Financial portfolio approach to optimal tourist market mixes
por: Jang, SooCheong (Shawn), et al.
Publicado: (2008)

COVID-19 and uncertainty spillovers in Indian stock market
por: Guru, Biplab Kumar, et al.
Publicado: (2020)

Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods
por: Mazraeh, Nasrin Bagheri, et al.
Publicado: (2022)

An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data
por: Raubitzek, Sebastian, et al.
Publicado: (2022)

Income investing: an intelligent approach to profiting from bonds, stocks and money markets
por: Brady, Jason
Publicado: (2012)

Stock selection with random forest: An exploitation of excess return in the Chinese stock market
por: Tan, Zheng, et al.
Publicado: (2019)

Beat the market: win with proven stock selection and market timing tools
por: Appel, Gerald
Publicado: (2009)

Investing in frontier markets: opportunity, risk and role in an investment portfolio
por: Graham, Gavin, et al.
Publicado: (2013)

TAIL RISK HEDGING: Creating Robust Portfolios for Volatile Markets
por: Bhansali, Vineer
Publicado: (2013)

Modelling stock market volatility.
Publicado: (1996)

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)

Cannot write session to /tmp/vufind_sessions/sess_p9dosd0du1q8b40e3ukvj0ukcv