Financial
Directed Acyclic Graph (DAG) blockchain applications represent an evolution from traditional linear blockchain solutions, addressing their inherent scalability issues. The analysis of the transactions fee market in these applications proves particularly insightful, given their demonstrated ability to manage very high transaction throughputs, and the crucial role transaction fees play in blockchain sustainability, efficiency and security, as a mechanism to incentivize validators and regulate network congestion.
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56 Views
This dataset integrates textual, financial, and macroeconomic indicators to support research on bank failure prediction and financial distress forecasting in Vietnam. It includes financial news from the BKAI News Corpus Dataset (2009–2023) and financial crisis data from "A Dataset for the Vietnamese Banking System (2002–2021)" (Tu Le et al., 2022), covering crisis-related events such as restructuring, special control, mergers, and acquisitions.
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58 Views
The growing intricacy of investment decisions in unpredictable economic conditions underscores the importance of comprehending the fundamental psychological factors that shape investor behavior and preferences. For this purpose, this research illustrates the impact of personal saving orientation in elucidating the impact of flow experience and social support, desire for learning on investment decisions. The research assesses a proposed model grounded in the Theory of Planned Behavior (TPB) by collecting questionnaire data from 516 investors using the PLS-SEM technique...
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36 Views
The growing intricacy of investment decisions in unpredictable economic conditions underscores the importance of comprehending the fundamental psychological factors that shape investor behavior and preferences. For this purpose, this research illustrates the impact of personal saving orientation in elucidating the impact of flow experience and social support, desire for learning on investment decisions. The research assesses a proposed model grounded in the Theory of Planned Behavior (TPB) by collecting questionnaire data from 516 investors using the PLS-SEM technique...
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18 Views
These are the daily closing prices of four stock indices including Shanghai Securities Composite Index (SSEC) and the Shenzhen Securities Component Index (SZI) from China, the Straits Times Index (STI) from Singapore, and the Standard & Poor 500 Index (SPX) from the United States. The SSEC data is from December 19,1990 to May 25, 2023. The data of SZI is from April 3, 1991 to May 25, 2023. The STI data is from December 3, 1990, to May 25, 2023, and the data of SPX is from December 3, 1990 to May 25, 2023.
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70 Views
These are the daily closing prices of four stock indices including Shanghai Securities Composite Index (SSEC) and the Shenzhen Securities Component Index (SZI) from China, the Straits Times Index (STI) from Singapore, and the Standard & Poor 500 Index (SPX) from the United States. The SSEC data is from December 19,1990 to May 25, 2023. The data of SZI is from April 3, 1991 to May 25, 2023. The STI data is from December 3, 1990, to May 25, 2023, and the data of SPX is from December 3, 1990 to May 25, 2023.
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39 Views
- The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
- Of the 12,330 sessions in the dataset, 84.5% (10,422) were negative class samples that did not end with shopping, and the rest (1908) were positive class samples ending with shopping.
- The dataset consists of 10 numerical and 8 categorical attributes. The 'Revenue' attribute can be used as the class label.
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482 Views
This dataset integrates financial and macroeconomic indicators to support research on stock price prediction and financial forecasting. It includes daily stock data for Malayan Banking Berhad (MBB) (1155.KL) sourced from Yahoo Finance, alongside macroeconomic indicators such as GDP (constant 2015 MYR), GDP growth (YoY %), inflation rate (%), and the Overnight Policy Rate (OPR). The data spans a 20-year period from July 1, 2004, to August 1, 2024, and has been standardized to a daily frequency.
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107 Views
Innostock focuses on stock price movement prediction tasks of newly formed technology companies listed on China's Sci-Tech Innovation Board, aggregating their financial news from various online platforms. It's stock prices were originally collected from CSMAR (https://cn.gtadata.com). To support multimodal input of each stock, we further collect the industrial sector relationships for each stock and build knowledge graphs.
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78 Views
A dataset used in the paper "A Causal Perspective of Stock Prediction Models". The dataset is constructed using the training infromation between 2011 and 2024 via signals provided by GUOTAI JUNAN SECURITIES. Alpha191 is a widely used collection of 191 mathematical formulas, known as "alpha factors," used for quantitative stock analysis. Developed by researchers and practitioners, these factors are designed to capture various statistical properties, behavioral patterns, and market trends from financial data.
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268 Views