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Dataset results
45 results for “stock market”
Dataset: Invesco Dorsey Wright Developed Markets Momentum ETF (PIZ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Invesco Dorsey Wright Emerging Markets Momentum ETF (PIE) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: National Security Emerging Markets Index ETF (NSI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Matthews Emerging Markets Discovery Active ETF (MEMS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: iShares Core Total USD Bond Market ETF (IUSB) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Ingles Markets, Incorporated (IMKTA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Robinhood Markets, Inc. (HOOD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: D-Market Elektronik Hizmetler ve Ticaret A.S. (HEPS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Robinhood Markets, Inc. (HOOD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
CNNpred: CNN-based stock market prediction using a diverse set of variables
<p>This dataset contains several daily features of S&P 500, NASDAQ Composite, Dow Jones Industrial Average, RUSSELL 2000, and NYSE Composite from 2010 to 2017. It covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of major companies in the U.S. market, and treasury bill rates. Sources and thorough description of features have been mentioned in the paper of "CNNpred: CNN-based stock market prediction using a diverse set of variables".</p>
Latest Trends in the Stock Market // Últimas Tendencias en el Mercado Bursátil
<p>(ENG)<br>The dataset provides us straightforward information on real-time movements in the most important stock markets. It consists of several columns: <em>Symbols</em>, <em>Company Name</em>, <em>Last Price</em>, <em>Change</em>, <em>Change %</em>, and <em>ROA</em>, allowing for a quick assessment of which companies, national economies, or sectors are driving the market. This data also enables us to evaluate whether a company is performing well as a potential investment.</p> <p>(ESP)<br>El dataset nos proporciona información clara sobre los movimientos en tiempo real de los mercados bursátiles más importantes. Se compone de varias columnas: <em>Symbols</em>, <em>Company Name</em>, <em>Last Price</em>, <em>Change</em>, <em>Change %</em> y <em>ROA</em>, lo que permite una evaluación rápida de qué empresas, economías nacionales o sectores están liderando el mercado. Además, estos datos nos permiten valorar si una empresa es una buena opción de inversión.</p>
Exploratory Analysis of Top 50 Companies in Indian Stock Market: A Time Series Analysis of Historical Stock Prices
<p>The dataset consists of 'open, close, high, low, close, adj close and volume' columns for the top 50 Indian Companies and the dataset been fetched from YahooFinance for over 20 years. </p>
Data for: Does capital account liberalization drive the systemic importance of mainland China stock market? A network perspective
<p>Even though Chinese government has launched a series of capital account liberalization schemes to promote the systemic importance of mainland China stock market, the mainland China market still remains relatively marginal in the global stock markets, that is, China’s capital account liberalization does not seem to work as expected. This paper measures the systemic importance of mainland China stock market based on dynamic tail correlation networks, and further analyzes the impact of China’s capital account liberalization on it. Empirical results manifest that, capital account liberalization indeed contributes to improving the systemic importance of mainland China stock market. Besides, the systemic importance is also significantly and positively affected by economic policy uncertainty and direct investment. More specially, investor sentiment in mainland China stock market has the apparent impact on systemic importance only when extreme events occur.</p>
Is the sentiment priced? Evidence from the Korean stock market
<p>SAS files.</p> <p>1) dtset_ks.KOSPI </p> <p>2) dtset_kq: KOSDAQ</p> <p>Data description: This datasets are the common stock of non-financial companies traded on KOSPI(dtset_ks) and KOSDAQ(dtset_kq), including delisted stocks. KOSPI comprises primarily of large, established firms, whereas KOSDAQ comprises young, entrepreneurial firms. The spans from February 2000 to June 2022 and is based on the stock excess return. This dataset utilizes data from FnGuide and the yields of CD (91-day) provided by the Bank of Korea as a risk-free rate. </p> <p>Please look at the paper to see specific variables. </p>
Capital market liberalization and corporate environmental performance: Evidence from the Shanghai–Hong Kong Stock Connect
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Data from: Association between stock market gains and losses and Google searches
Experimental studies in the area of Psychology and Behavioral Economics have suggested that people change their search pattern in response to positive and negative events. Using Internet search data provided by Google, we investigated the relationship between stock-specific events and related Google searches. We studied daily data from 13 stocks from the Dow-Jones and NASDAQ100 indices, over a period of 4 trading years. Focusing on periods in which stocks were extensively searched (Intensive Search Periods), we found a correlation between the magnitude of stock returns at the beginning of the period and the volume, peak, and duration of search generated during the period. This relation between magnitudes of stock returns and subsequent searches was considerably magnified in periods following negative stock returns. Yet, we did not find that intensive search periods following losses were associated with more Google searches than periods following gains. Thus, rather than increasing search, losses improved the fit between people's search behavior and the extent of real-world events triggering the search. The findings demonstrate the robustness of the attentional effect of losses.
Replication package for: Stock Market Participation, Inequality, and Monetary Policy
<p>This package contains replication files for the paper "Stock Market Participation, Inequality, and Monetary Policy", by Davide Melcangi and Vincent Sterk, to be published in the <em>Review of Economic Studies</em>.</p>
Data from: Association between stock market gains and losses and Google searches
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"STOCKS ARE THE SCIENTIFIC AND THEORETICAL FOUNDATIONS OF THE MARKET"
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Dataset: First Trust Developed Markets ex-US Small Cap AlphaDEX Fund (FDTS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.