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A Comparative Study of Future Stock Price Prediction Through Artificial Neural Network and ARIMA Modelling

NMIMS Management Review, 2023
Stock price estimation and prediction have been the popular topics for ages for various market participants, including investors, traders, financial analysts and researchers.
Sakshi Varshney, Purwa Srivastava
doaj   +1 more source

Intelligent method to cryptocurrency price variation forecasting

The Journal of Engineering, 2020
Nowadays, accurate prediction of cryptocurrency price variation based on their important role in the world economy is an important and challenging issue. In this study, various parameters that affect the cryptocurrency value have been considered. For the
Mohsen Noroozinejad Farsangi, Farshid Keynia, Ehsan Noroozinejad Farsangi   +2 more
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PERAMALAN HARGA SAHAM MENGGUNAKAN JARINGAN SYARAF TIRUAN SECARA SUPERVISED LEARNING DENGAN ALGORITMA BACKPROPAGATION

Jurnal informatika UPGRIS, 2017
Stock price prediction is useful for investors to see how the prospects of a company's stock investment in the future. Stock price prediction can be used to anticipate the deviation of stock prices.
Eko Riyanto
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Relationship between degree of efficiency and prediction in stock price changes

, 2007
This study investigates empirically whether the degree of stock market efficiency is related to the prediction power of future price change using the indices of twenty seven stock markets.
Eom, Cheoljun, Jung, Woo-Sung, Oh, Gabjin   +2 more
core   +1 more source

Impact of chart image characteristics on stock price prediction with a convolutional neural network.

PLoS ONE, 2021
Stock price prediction has long been the subject of research because of the importance of accuracy of prediction and the difficulty in forecasting. Traditionally, forecasting has involved linear models such as AR and MR or nonlinear models such as ANNs ...
Guangxun Jin, Ohbyung Kwon
doaj   +1 more source

Enhancing Stock Movement Prediction with Adversarial Training

, 2019
This paper contributes a new machine learning solution for stock movement prediction, which aims to predict whether the price of a stock will be up or down in the near future.
Chen, Huimin, Chua, Tat-Seng, Ding, Ji, Feng, Fuli, He, Xiangnan, Sun, Maosong   +5 more
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Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods [PDF]

Dianli jianshe
In the context of developing a unified national electricity market， the development of a spot market helps promote the sharing and optimal allocation of electricity resources on a larger scale.
JIA Heping, GUO Yuchen, MA Qianxin, YANG Zhenglin, ZHENG Yaxian, ZENG Dan, LIU Dunnan
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Knowledge graph and deep learning combined with a stock price prediction network focusing on related stocks and mutation points

Journal of King Saud University: Computer and Information Sciences, 2022
Due to the interaction of many factors in the stock market, stock price prediction has always been a challenging problem in the field of machine learning.
Meiyao Tao, Shanshan Gao, Deqian Mao, Hong Huang   +3 more
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Forecasting of Paddy Grain and Rice's Price: An ARIMA (Autoregressive Integrated Moving Average) Model Application

Soca: Jurnal Sosial Ekonomi Pertanian, 2020
A decision making for a long-term paddy grain and rice price guidelines need a future price prediction and a forecasting model that made based on time progression. The most popular model used is ARIMA.
Fitri Ramadhani, Ketut Sukiyono, Melli Suryanty   +2 more
doaj   +1 more source

Arbitrage-free prediction of the implied volatility smile [PDF]

, 2014
This paper gives an arbitrage-free prediction for future prices of an arbitrary co-terminal set of options with a given maturity, based on the observed time series of these option prices.
Dellaportas, Petros, Mijatović, Aleksandar   +1 more
core   +2 more sources