Results 1 to 10 of about 29,542 (162)

Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model. [PDF]

open access: yesPLoS ONE, 2016
In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index; hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. Many
Mingyue Qiu, Yu Song
doaj   +2 more sources

IMPACT OF CONVENTIONAL STOCK MARKET INDEX ON ISLAMIC STOCK MARKET INDEX IN BOSNIA AND HERZEGOVINA

open access: yesHuman Research in Rehabilitation, 2019
This study analyzes the impact of conventional index (SASX-30) on Islamic index (SASE-BBI) in Bosnia and Herzegovina. In the study are used daily index observations spanning in a period from October 2016 until May 2018.
Edin Djedović, Irfan Djedović
doaj   +2 more sources

Predicting stock market index using LSTM

open access: yesMachine Learning with Applications, 2022
The rapid advancement in artificial intelligence and machine learning techniques, availability of large-scale data, and increased computational capabilities of the machine opens the door to develop sophisticated methods in predicting stock price.
Hum Nath Bhandari   +5 more
doaj   +3 more sources

Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model

open access: yesFuture Business Journal, 2022
The multi-fractal analysis has been applied to investigate various stylized facts of the financial market including market efficiency, financial crisis, risk evaluation and crash prediction.
Mohammad Arashi, Mohammad Mahdi Rounaghi
doaj   +2 more sources

Galformer: a transformer with generative decoding and a hybrid loss function for multi-step stock market index prediction [PDF]

open access: yesScientific Reports
The prediction of stock market fluctuations is crucial for decision-making in various financial fields. Deep learning algorithms have demonstrated outstanding performance in stock market index prediction.
Yi Ji   +5 more
doaj   +2 more sources

Investigation of the Effect of Coronavirus Outbreak on Iran Stock Market by Considering Regime Changes [PDF]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2021
The present study investigates the effect of coronavirus outbreak and exchange rate and oil price variables on the stock market index using  Markov Switching model during the period 1398/11/30 – 1399/03/27.
Soheil Roudari, Masoud Homayounifar
doaj   +1 more source

Revisiting Stock Market Index for the Helsinki Stock Exchange 1912-1981

open access: yesSSRN Electronic Journal
Stock market indices play a central role in portfolio and risk management and performance evaluation, as well as academic research. This paper presents a fully updated and extended stock market index for the Finnish stock market using new and updated historical databases that cover the period from the establishment of the Helsinki Stock Exchange in ...
Mika Vaihekoski
openaire   +3 more sources

The Relationship between Crude Oil Futures Market and Chinese/US Stock Index Futures Market Based on Breakpoint Test

open access: yesEntropy, 2021
Combined with the B-P (breakpoint) test and VAR–DCC–GARCH model, the relationship between WTI crude oil futures and S&P 500 index futures or CSI 300 index futures was investigated and compared.
Xunfa Lu   +3 more
doaj   +1 more source

Stock Market Price Forecasting Using the Arima Model: an Application to Istanbul, Turkiye

open access: yesİktisat Politikası Araştırmaları Dergisi, 2022
Because of its critical position in open economies and its extremely high volatility, the stock market price index has been a popular subject of market research. In modern financial markets, traders and practitioners have had trouble predicting the stock
Tamerlan Mashadihasanli
doaj   +1 more source

Market Confidence Predicts Stock Price: Beyond Supply and Demand. [PDF]

open access: yesPLoS ONE, 2016
Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors ...
Xiao-Qian Sun   +3 more
doaj   +1 more source

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