Results 21 to 30 of about 2,297,891 (304)
A CNN-LSTM-Based Model to Forecast Stock Prices
Stock price data have the characteristics of time series. At the same time, based on machine learning long short-term memory (LSTM) which has the advantages of analyzing relationships among time series data through its memory function, we propose a ...
Wenjie Lu +4 more
semanticscholar +1 more source
In this paper, we analyze the connectedness between the recent spread of COVID-19, oil price volatility shock, the stock market, geopolitical risk and economic policy uncertainty in the US within a time-frequency framework.
Arshian Sharif, C. Aloui, L. Yarovaya
semanticscholar +1 more source
This research aims to look at the effect of stock splits on stock prices with variable liquidity as intervening. The research sample consisted of 83 companies on the Indonesia Stock Exchange (IDX) that conducted a stock split corporate action in the ...
Muhammad Ilham Maulana, Indah Yuliana
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An empirical analysis of internal and external factors of stock pricing: evidence from Indonesia [PDF]
Stock prices change from time to time along with the latest conditions and information derived by investors dealing with the outlook for the company. Changes in stock prices are probably triggered by various factors, both internal and external, coming ...
Hesty Juni Tambuati Subing +2 more
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This study aims to specify: To analyze the effects of leverage, liquidity, and profitability on stock prices of food and beverage companies listed on the Indonesia Stock Exchange for the 2017-2021 period.
Yuhilma Nur Avanti +1 more
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Pricing stocks with yardsticks and sentiments [PDF]
Human decision making by professionals trading daily in the stock market can be a daunting task. It includes decisions on whether to keep on investing or to exit from a market subject to huge price swings, and also how to price in news or rumors attributed to a specific stock.
Sebastían Martínez Bustos +5 more
openaire +4 more sources
Analyzing the Impact of Financial News Sentiments on Stock Prices—A Wavelet Correlation
This study investigates the complex interplay between public sentiment, as captured through news titles and descriptions, and the stock prices of three major tech companies: Microsoft (MSFT), Tesla (TSLA), and Apple (AAPL). Leveraging advanced analytical
Marian Pompiliu Cristescu +4 more
doaj +1 more source
Asymmetric reactions of stock prices and industrial output to exchange rate shocks: Multiple threshold nonlinear autoregressive distributed lag framework [PDF]
Motivated by swings in the exchange rate of many developing economies which exert influence on firms’ input costs, output, stock prices, and profits, the study investigated the asymmetric reactions of stock prices and industrial output to ...
Odionye Joseph Chukwudi +1 more
doaj +1 more source
Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysis [PDF]
The stock market's ascent typically mirrors the flourishing state of the economy, whereas its decline is often an indicator of an economic downturn. Therefore, for a long time, significant correlation elements for predicting trends in financial stock ...
Wen jun Gu +6 more
semanticscholar +1 more source
TESTING THE RELATIONSHIP BETWEEN EXCHANGE RATE AND STOCK PRICE IN THE ASEAN COUNTRIES
The aim of this paper is to investigate the statistical relationship between stock prices and exchange rates in ASEAN from 1993–2006. Using Engle-Granger test, it finds that the re-lationship between stock prices and exchange rates is characterized by a ...
Dwipraptono Agus Harjito
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