Data Sample
- Tags
Description
Metadata
Key Terms and Abbreviations
This table provides explanations for commonly used abbreviations, industry terminology, technical terms, or specialized terms with the aim of facilitating easier reading and understanding of the data for those who will be purchasing this data product.
Categories
- Investment Analysis
- Economy
- Healthcare
- Finance
- Investment
- Stock Market
Geography
WorldwideSuitable For
- Small Business
- Medium-sized Business
- Enterprise
More Products
The Technology and Hardware Companies category is an essential sector shaping the backbone of today's technology world. Companies operating in this field offer innovative digital transformation and hardware technologies, providing products and services that simplify our lives and shape the future. This article includes daily stock market data for AAPL, ASML, AVGO, INTC, MSFT, and NVDA companies. The information in the table includes the daily opening and distribution prices for 5 years, the highest and lowest prices on that day, and the total transaction volume on that day. The daily stock market data reflects the performance of these companies' stocks on a particular day. The highest and lowest values in the daily stock data represent the highest and lowest prices the stocks traded during that day. Additionally, the trading volume indicates the number of shares traded and the total amount of trading activity for each company. This data is crucial for investors to comprehend the market movements of these technology and hardware companies and to formulate their investment strategies. These daily stock market data serve as a significant source of information for investors to understand the market movements and make informed investment decisions in the technology and hardware sector. The performance of these companies reflects the overall health of the technology industry and its potential for future growth. For investors, this data provides valuable guidance to make conscious investment choices and manage their portfolios effectively.
In the investment world, healthcare services and healthcare real estate companies play a significant role for investors in diversifying their portfolios and achieving long-term gains within the healthcare sector. These companies are engaged in various aspects such as managing, operating, and developing healthcare facilities. Prominent healthcare services and healthcare real estate companies like WELL, SBRA, and HR continue to remain at the forefront of stock market movements. Within this dataset, you will find comprehensive information about the opening and closing values of these companies in the stock exchange, their highest and lowest values reached during the trading day, as well as their daily trading volume. The healthcare sector is globally significant, offering solid investment opportunities for investors. The stock market performance of these companies reflects the developments in the healthcare sector, the demand for healthcare services, and other industry dynamics. In conclusion, the stock market performance of healthcare services and healthcare real estate companies serves as a valuable analysis tool for investors. These data provide insights that help investors understand healthcare sector trends, develop investment strategies, and make informed long-term decisions.
Gross Pension Replacement Rates: Evaluating Retirement Income Security and Gender Disparities
The gross replacement rate is a significant indicator that plays a central role in assessing the effectiveness of a pension system in providing retirement income to replace pre-retirement earnings, which serve as the primary source of income before retirement. This key metric is measured as a percentage and is calculated by dividing gross pension entitlement by gross pre-retirement earnings. By comparing the gross pension entitlement with the gross pre-retirement earnings, the gross replacement rate offers insights into how much of an individual's pre-retirement income is being replaced by their pension benefits during retirement. A high gross replacement rate indicates that retirees are receiving a substantial portion of their pre-retirement earnings as pension income, providing them with a more stable and secure financial situation after leaving the workforce. Conversely, a low gross replacement rate suggests that the pension system may not adequately meet retirees' income needs, potentially leading to financial challenges during retirement. Analyzing the gross replacement rate by gender is particularly important in understanding potential disparities in retirement income between men and women. Gender-specific differences in earnings, workforce participation, and pension contributions can lead to distinct replacement rates for male and female retirees. Ensuring equitable pension outcomes for all genders remains a critical objective for policymakers striving to create a fair and inclusive retirement system.
This dataset contains stock market data for prominent energy companies operating within the Energy Infrastructure and Transportation industry, namely EPD, PAA and TRP. It encompasses 5 years of trading data, including daily opening and closing prices, the highest and lowest prices recorded during the day, and the trading volume for each respective day. The dataset serves as a valuable resource for investors, analysts, and researchers to examine and analyze the performance of major energy companies in the sector. The stock price movements of energy companies provide crucial insights to market participants, helping them gain an understanding of past performance and price trends. As the dataset includes daily price changes for traded shares, it becomes a valuable tool for those developing short-term or long-term investment strategies. Additionally, it can be utilized in financial analysis processes, such as risk management and portfolio diversification. Analysts can evaluate the performance of energy companies by studying the differences between opening and closing prices, highest and lowest values, trading volumes, and other technical analysis tools. Furthermore, this dataset facilitates inter-company comparisons and enables monitoring of sector-wide trends within the energy industry. In summary, this dataset is a valuable and informative resource for individuals seeking to analyze and evaluate the stock performance of significant energy companies operating in the sector. Investors and financial professionals can use this data to make informed decisions, minimize risks, and assess potential opportunities.