The application of stock index price prediction with neural network
Stock index price prediction is prevalent in both academic and economic fields. The index
price is hard to forecast due to its uncertain noise. With the development of computer …
price is hard to forecast due to its uncertain noise. With the development of computer …
Investigation of market efficiency and financial stability between S&P 500 and London stock exchange: monthly and yearly forecasting of time series stock returns …
MM Rounaghi, FN Zadeh - Physica A: Statistical Mechanics and its …, 2016 - Elsevier
We investigated the presence and changes in, long memory features in the returns and
volatility dynamics of S&P 500 and London Stock Exchange using ARMA model. Recently …
volatility dynamics of S&P 500 and London Stock Exchange using ARMA model. Recently …
Application of artificial neural network models and principal component analysis method in predicting stock prices on Tehran Stock Exchange
J Zahedi, MM Rounaghi - Physica A: Statistical Mechanics and its …, 2015 - Elsevier
Stock price changes are receiving the increasing attention of investors, especially those who
have long-term aims. The present study intends to assess the predictability of prices on …
have long-term aims. The present study intends to assess the predictability of prices on …
Investigation of the financial stability of S&P 500 using realized volatility and stock returns distribution
In this work, the financial data of 377 stocks of Standard & Poor's 500 Index (S&P 500) from
the years 1998–2012 with a 250-day time window were investigated by measuring realized …
the years 1998–2012 with a 250-day time window were investigated by measuring realized …
[PDF][PDF] Прогнозирование дневных котировок акций ПАО Сбербанк с помощью нейронных сетей
ИВ Егоров - 2023 - earchive.tpu.ru
Школа: Инженерная школа ядерных технологий Направление подготовки (О Page 1
Школа: Инженерная школа ядерных технологий Направление подготовки (ООП/ОПОП) …
Школа: Инженерная школа ядерных технологий Направление подготовки (ООП/ОПОП) …
Прогнозирование цен акции с помощью нейронной сети
ПЕ Бодрягин - 2021 - earchive.tpu.ru
В данной работе были созданы две модели рекуррентных нейронных сетей типа
LSTM и GRU, обученные на котировках цен акций из индекса ММВБ-10 в период с …
LSTM и GRU, обученные на котировках цен акций из индекса ММВБ-10 в период с …