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13 articles for “Stocks Price”
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Research ArticleOpen accessPhrase in the titleKalman Filtering for Stocks Price Prediction and ControlJimbo Henri Claver, Mbiazi Dave, Shu Felix CheStocks price analysis has been a critical area of research as the stock market is a very fluctuating market. Stocks price is affected by demand and supply dynamics making it difficult to forecast the price of a stock at a particular instant. The entire idea of predicting stocks price is to gain significant profits but predicting how the stock market … …Journal of Computer Science, Vol. 19, Issue 6 · 20 May 2023 · 6,367 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDFCite
Research ArticleOpen accessIn the abstractIraqi Stock Market Prediction using Proposed Model of Convolution Neural NetworkSama Hayder Abdulhussein, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra AteeThe stock market, sometimes known as the share market, is a marketplace for stock sellers and buyers. A stock exchange is defined as a mechanism through which stockbrokers can purchase and sell shares, bonds, and other assets. Many businesses, regardless of their industries or domains, make their shares or stocks available on the stock exchange. For value investors, predicting the … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel Comparison for the Prediction of Stock Prices in the NYSEVictoria Switlyk, Junfeng ShangThe stock market is an integral part of investments as well as the economy. The prediction of stock prices is an exciting and challenging problem that has been considered by many due to the complexity and noise within the market and to the potential profit that can be yielded from accurate predictions. We aim to construct and compare models used … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 26 Sep 2019 · 7,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study on the Information Effect of Stock Lending and Borrowing and Short Selling between the Korea Stock Exchange and the New Stock ExchangeYeongsuk Cho, Youngsik KwakThe purpose of this study is to compare the information effect of Stock Lending and Borrowing (SLB) and short selling between the Korea Stock Exchange (KRX) and the New York Stock Exchange (NYSE). While most previous studies analyzed the information effect with a focus on short selling, this study links short selling to SLB and examines how SLB and short … …American Journal of Economics and Business Administration, Vol. 10, Issue 1 · 4 Oct 2018 · 8,174 accessesView PDFCite
Research ArticleOpen accessIn the abstractInformation Contents of Short Selling Restriction and Stock Lending and Borrowing TransactionsYoungsik Kwak, Yeongsuk ChoThis study focuses on the distinctive incident in which Stock Lending and Borrowing (SLB) transaction and short selling grew continuously even during the wavering period of the Korea Composite Stock Price Index (KOSPI) in the Korea Exchange (KRX) market. The authors analyze the information contents of SLB and short selling on KOSPI financial stocks. The financial stocks were freed from … …American Journal of Economics and Business Administration, Vol. 9, Issue 2 · 26 Oct 2017 · 7,980 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Trading Using PE Ratio Based on Bayesian InferenceHaizhen Wang, Ratthachat Chatpatanasiri, Pairote SattayathamThe Price Earnings (PE) ratio is one of the most widely applied tool for the firm valuation in a security market. Unfortunately, recent academic developments in financial econometrics and machine learning have rarely looked at this tool. In the paper, we propose to formalize a process of fundamental PE ratio estimation by employing Dynamic Bayesian Network (DBN) methodology. Forward-backward inference … …Journal of Mathematics and Statistics, Vol. 13, Issue 3 · 29 Sep 2017 · 7,425 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing and Estimating Portfolio Performance of Bangladesh Stock MarketMd. Zobaer Hasan, Anton Abdulbasah Kamil, Adli Mustafa, Md. Azizul BatenCapital Asset Pricing Model (CAPM) is one of the most important developments in the finance literature. Simply, CAPM is a model that describes the relationship between risk and expected return. The theoretical validity of CAPM is well tested and accepted but the practical validity of CAPM is in questioned. This study is designed to analyze and estimate the portfolio performance … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 6 Feb 2013 · 8,010 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhy the Dogs of the Dow Bark Loudly in ChinaCarol Wang, James E. Larsen, Fall M. Ainina et al.Problem statement: The Dogs of the Dow (Dow Dogs) strategy, which has gained widespread popularity in the U.S., is found to be considerably successful in China’s stock markets. This trading strategy contradicts the well-established efficient market hypothesis. Approach: This study examines the cross-sectional variations in the magnitude of the predictive power of the Dow Dogs strategy using Chinese stocks for … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 4 Nov 2011 · 8,019 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrading Volume and Stock Indices: A Test of Technical AnalysisPaul AbbondanteProblem statement: Technical analysis and its emphasis on trading volume has been used to analyze movements in individual stock prices and make investment recommendations to either buy or sell that stock. Little attention has been paid to investigating the relationship between trading volume and various stock indices. Approach: Since stock indices track overall stock market movements, trends in trading volume … …American Journal of Economics and Business Administration, Vol. 2, Issue 3 · 30 Sep 2010 · 8,224 accessesView PDFCite