Showing 81 - 88 results of 88 for search '"Yahoo! Finance"', query time: 0.30s Refine Results
  1. 81

    Post-Pandemic Analysis for Value at Risk of Real Estate Investment Trust in Malaysia Under Quantitative Approach by Tan, Kai Xian, Karim, Sharmila, Roslan, Teh Raihana Nazirah

    Published 2023
    “…Actual previous five-year history raw price data for each REIT in Malaysia are extracted from Yahoo Finance, Refinitiv Eikon, and DataStream via University Utara Malaysia’s (UUM) e-resources database. …”
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    Article
  2. 82

    Analysis of stock market reaction in Malaysia during Covid-19 pandemic via ARIMA by Nor Aziyatul Izni, Mohd Rosli, Sarah ‘Atifah, Saruchi, Nur Ilyana Ismarau, Tajuddin, Puvarasan, Ulaganathan, Gurpreet Singh, Awtar Singh, Nurul Azhani, Yunus

    Published 2023
    “…Thus, this research is carried out to study the movement of stocks for the year 2020 in Malaysia based on the data obtained from Yahoo Finance. The objective is to provide investors with a guide to investing efficiently during a pandemic. …”
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    Article
  3. 83

    Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection by Gun Il Kim, Beakcheol Jang

    Published 2023-01-01
    “…Our proposed hybrid model integrates a convolutional neural network and a recurrent neural network with skip connections and is trained using petroleum oil prices and external data directly accessible from the official website of South Korea’s national oil corporation and the official Yahoo Finance site. We compare the performance of our univariate and multivariate models in terms of the Pearson correlation, mean absolute error, mean squared error, root mean squared error, and R squared (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi mathvariant="normal">R</mi><mn>2</mn></msup></semantics></math></inline-formula>) evaluation metrics. …”
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    Article
  4. 84

    Predictive modeling of return volatility in sustainable investments: An in-depth analysis of ARIMA, GARCH, and ARCH techniques by Srihari G., Kusuma T., Chetanraj D. B., Senthil Kumar J. P., Ravi Aluvala

    Published 2024-02-01
    “…For the analysis, the required time series data are collected from Yahoo Finance from 01-08-2012 to 29-07-2022 of the companies’ Monthly and daily closing stock prices. …”
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    Article
  5. 85

    React based web-application for stock price forecasting with a novel stacking algorithm by Mittal, Madhav

    Published 2022
    “…The data is collected through the Yahoo Finance API. Additionally, the paper discusses the ideation and design processes of an interactive cross-platform React based web-application. …”
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    Final Year Project (FYP)
  6. 86

    Fuzzy-Embedded Gated Recurrent Unit (FE-GRU) with application in stock trading by Lim, Chee Yuan

    Published 2022
    “…From the raw data obtained from Yahoo Finance, scaling and fuzzification will be performed before it is fed into the GRU as mentioned before. …”
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    Final Year Project (FYP)
  7. 87

    A Rebalancing of Financial Valuations and Expectations Moving Forward in the Telehealth Sector as the United States Moves Toward a Post-COVID-19 Reality by Nicholas Bettencourt, Conor John Wilson, Philippa Jaye Johnson, Fabian D'Souza

    Published 2023-07-01
    “…This is accomplished through a qualitative secondary research approach, leveraging contemporary sources, financial references such as Yahoo! Finance, and peer-reviewed literature to support predictions for the future market. …”
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    Article
  8. 88

    A Novel Neutrosophic Data Analytic Hierarchy Process for Multi-Criteria Decision Making Method: A Case Study in Kuala Lumpur Stock Exchange by Desmond Jun Yi Tey, Yee Fei Gan, Ganeshsree Selvachandran, Shio Gai Quek, Florentin Smarandache, Le Hoang Son, Mohamed Abdel-Basset, Hoang Viet Long

    Published 2019-01-01
    “…Actual dataset of 15 financial indices for the five petrochemical companies for 2017 obtained from Yahoo! Finance was used in this paper. Following this, a brief comparative study is conducted to evaluate the performance of our NDAHP algorithm against the results of other existing SVNS-based decision making methods in the literature. …”
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    Article