[PDF][PDF] Stock Prediction Using Deep Learning with Long-Short-Term-Memory Networks
CA Hargreaves, C Leran - International Journal of Electronic …, 2020 - researchgate.net
Background: Stock market prediction is one of the most challenging tasks since the financial
time series is highly volatile, noisy, non-linear and dynamic in nature. Long-Short-Term …
time series is highly volatile, noisy, non-linear and dynamic in nature. Long-Short-Term …
Comparative asset pricing models using different machine learning tools
A Dutta, M Sinha - … Computing and Social Networking: Proceedings of …, 2022 - Springer
The study tries to estimate the returns using three known models, namely the single-index
model, capital asset pricing model (CAPM), and arbitrage pricing theory (APT) model. The …
model, capital asset pricing model (CAPM), and arbitrage pricing theory (APT) model. The …
[PDF][PDF] Choice of Methods in Predicting Index Returns Using Artificial Neural Network for National Stock Exchange of India
A Dutta - … Journal of Future Generation Communication and …, 2021 - researchgate.net
This study uses artificial neural network (ANN) in forecasting the NIFTY. The paper trains
several ANN by using back propagation algorithm and they were assessed. The study uses …
several ANN by using back propagation algorithm and they were assessed. The study uses …
19. An Overview of Exploring the Potential of Machine Learning Approaches on Financial Services Industry
P Gupta, G Shamra, MV Reddy, S Sharma… - Recent Advances in …, 2024 - books.google.com
The expansion of its use in numerous service industries is a result of technological
advancements and people'growing reliance on modern technology and artificial …
advancements and people'growing reliance on modern technology and artificial …
Application of Machine Learning Algorithm in Financial Industry
S Wang - 2023 IEEE International Conference on Integrated …, 2023 - ieeexplore.ieee.org
The development of the financial industry does not depend on speculation and high returns,
but on bringing convenience to people's lives. The development of Internet Finance in the …
but on bringing convenience to people's lives. The development of Internet Finance in the …
[PDF][PDF] Comparative Study on Traditional Learning methods' performance in Big Data Analysis
IN Seignor - 2021 - ujcontent.uj.ac.za
Big data has become a trend in our world today. The rise in data production rate, which has
as consequence the increase in data quantity, comes with many important challenges, one …
as consequence the increase in data quantity, comes with many important challenges, one …
[图书][B] Forecasting stock market returns using machine learning models
M Nengovhela - 2022 - search.proquest.com
Making stock market returns predictions are regarded as an efficient tool for financial risk
management and portfolio diversification. Various methods of forecasting for investment …
management and portfolio diversification. Various methods of forecasting for investment …
Machine Learning and Portfolio Optimization: an application to Italian FTSE-MIB Stocks
A MASIERO - thesis.unipd.it
A model that combines econometric ARMA model with new machine learning techniques
will be developed to build an efficient portfolio, composed of Italian FTSE-MIB stocks. The …
will be developed to build an efficient portfolio, composed of Italian FTSE-MIB stocks. The …
Financial Machine Learning
V Yılmaz - SETSCI-Conference Proceedings, 2019 - set-science.com
Machine learning and artificial intelligence have become an integral part of people's culture,
influencing the lives of most people today. Machine learning is a subset of data science that …
influencing the lives of most people today. Machine learning is a subset of data science that …
[引用][C] An intelligent multisided PPP marketplace to resolve chronic impediments to PPP
K Albulaihed, H Adem