The NYSE U.S. Large Cap Equal Weight Index tracks the performance of the largest *** highly capitalized companies listed on U.S. stock exchanges. Between November 2001 and September 2024, the index fluctuated but increased overall, reaching a value of ********* index points.

South Africa Index: JSE: Equally Weighted Financial 15 data was reported at 5,289.020 NA in Jun 2018. This records a decrease from the previous number of 5,382.600 NA for May 2018. South Africa Index: JSE: Equally Weighted Financial 15 data is updated monthly, averaging 5,034.510 NA from Jan 2012 (Median) to Jun 2018, with 77 observations. The data reached an all-time high of 5,948.500 NA in Dec 2017 and a record low of 2,871.080 NA in Jan 2012. South Africa Index: JSE: Equally Weighted Financial 15 data remains active status in CEIC and is reported by Johannesburg Stock Exchange. The data is categorized under Global Database’s South Africa – Table ZA.Z001: Johannesburg Stock Exchange: Index.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Is USA Equal Weighting the Secret ETF Outperformer?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

South Africa Index: JSE: Equally Weighted Industrial 25 data was reported at 8,530.120 NA in Jun 2018. This records a decrease from the previous number of 8,720.170 NA for May 2018. South Africa Index: JSE: Equally Weighted Industrial 25 data is updated monthly, averaging 8,712.170 NA from Jan 2012 (Median) to Jun 2018, with 77 observations. The data reached an all-time high of 9,648.520 NA in Jan 2018 and a record low of 4,897.370 NA in Jan 2012. South Africa Index: JSE: Equally Weighted Industrial 25 data remains active status in CEIC and is reported by Johannesburg Stock Exchange. The data is categorized under Global Database’s South Africa – Table ZA.Z001: Johannesburg Stock Exchange: Index.

!!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.This version of the Racial and Social Equity Index indexes all tracts in the remainder of King County against tracts in the city of Seattle. This index should only be used in direct consultation with the Office of Planning and Community Development, and is intended to be of use for comparing tracts in the remainder of King County within the context of percentiles set by tracts within the city of Seattle.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the City of Seattle RSE Index in action in the Racial and Social Equity ViewerThe Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures: Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures: No leisure-time physical activity Diagnosed diabetes Obesity Mental health not good AsthmaLow life expectancy at birth Disability<div style='font-family:"Avenir Next W01"

!!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the layer in action in the Racial and Social Equity ViewerClick here for an 11x17 printable pdf version of the map.The Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures:Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures:No leisure-time physical activityDiagnosed diabetes ObesityMental health not good AsthmaLow life expectancy at birthDisabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.<div style='font-family:"Avenir Next W01", "Aven

!!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.This version of the Racial and Social Equity Index indexes all tracts in the remainder of King County against tracts in the city of Seattle. This index should only be used in direct consultation with the Office of Planning and Community Development, and is intended to be of use for comparing tracts in the remainder of King County within the context of percentiles set by tracts within the city of Seattle.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the City of Seattle RSE Index in action in the Racial and Social Equity ViewerThe Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures: Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures: No leisure-time physical activity Diagnosed diabetes Obesity Mental health not good AsthmaLow life expectancy at birth DisabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.Sources are as indicated below.Produced by City of Seattle Office of Planning & Community Development. For more information on the indices, including guidance for use, contact Diana Canzoneri (diana.canzoneri@seattle.gov).Sources: 2017-2021 Five-Year American Community Survey Estimates, U.S. Census Bureau; 2020 Decennial Census, U.S. Census Bureau; estimates from the Centers for Disease Control’ Behavioral Risk Factor Surveillance System (BRFSS) published in the “The 500 Cities Project,”; Washington State Department of Health’s Washington Tracking Network (WTN);, and estimates from the Public Health – Seattle & King County (based on the Community Health Assessment Tool).Language is for population age 5 and older. Educational attainment is for the population age 25 and over.Life expectancy is life expectancy at birth.Other health measures based on percentages of the adult population.

South Africa Index: JSE: Equally Weighted Top 40 data was reported at 23,056.300 NA in Jun 2018. This records a decrease from the previous number of 23,255.220 NA for May 2018. South Africa Index: JSE: Equally Weighted Top 40 data is updated monthly, averaging 24,070.500 NA from Jan 2012 (Median) to Jun 2018, with 77 observations. The data reached an all-time high of 26,281.880 NA in Apr 2015 and a record low of 17,578.290 NA in Jan 2012. South Africa Index: JSE: Equally Weighted Top 40 data remains active status in CEIC and is reported by Johannesburg Stock Exchange. The data is categorized under Global Database’s South Africa – Table ZA.Z001: Johannesburg Stock Exchange: Index.

Analysis of ‘Racial and Social Equity Composite Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/42acb6e8-d61a-4349-a916-e072d62ceced on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Persons of color (weight: 1.0)
English language learner (weight: 0.5)
Foreign born (weight: 0.5)

Income below 200% of poverty level

Educational attainment less than a bachelor’s degree

No leisure-time physical activity

Diagnosed diabetes

Obesity

Mental health not good

Asthma

Low life expectancy at birth

Disability

This article analyzes equally-weighted stock portfolios (1/N) focusing on unsophisticated investors with small portfolios. The number of shares included in the 1/N portfolios ranged from 6 to 16 with rebalancing executed only three times a year. The period of analysis included daily and monthly returns between 1998 and 2011. The performance of the 1/N portfolios was compared to stock mutual funds, a global minimum variance portfolio with a 10% limit on positive weights (MVP 10%) and the Ibovespa index. The comparisons employed nonparametric tests, measures of risk-adjusted return and considered transaction costs. The results indicate that the performance of the selected funds is, at best, equivalent to the 1/N portfolios, albeit with a lower standard deviation. There was no significant difference in the median returns of the 1/N portfolios relative to the Ibovespa and MVP 10%. The stock selection criterion according to the ranking by the previous period Sharpe ratio is relevant, but rebalancing may be carried out less than three times a year. The 1/N portfolios are an attractive alternative to stock funds for investors with small stock portfolios even though their transaction costs may exceed 400 basis points per year.

Click a census tract on the map to view the details. Click "Layers" to explore other demographic layers.The Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.The Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures: Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures: Adults with no leisure-time physical activity Adults with diagnosed diabetes Adults with obesity Adults who reported mental health as not good Adults with asthma Low life expectancy at birth Adults with one or more disabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.Sources are as indicated below. Additional layers are updated annually by the Office of Planning and Community Development.Produced by City of Seattle Office of Planning & Community Development. For more information on the indices, including guidance for use, contact Diana Canzoneri (diana.canzoneri@seattle.gov).Get the data for this map from SeattleGeoDataSources: 2017-2021 5-Year American Community Survey Estimates, U.S. Census Bureau; 2020 Decennial Census, U.S. Census Bureau; modeled estimates from the Centers for Disease Control’ in the PLACES project; Washington State Department of Health’s Washington Tracking Network (WTN);, and estimates from the Public Health – Seattle & King County (based on the Community Health Assessment Tool).Notes: Language is for population age 5 and older. Educational attainment is for the population age 25 and over.Life expectancy is life expectancy at birth.Other health measures based on percentages of the adult population.

United States New York Stock Exchange: Index: S&P 500 Equal Weight Index data was reported at 6,856.790 NA in Apr 2025. This records a decrease from the previous number of 7,024.200 NA for Mar 2025. United States New York Stock Exchange: Index: S&P 500 Equal Weight Index data is updated monthly, averaging 4,253.920 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 7,589.910 NA in Nov 2024 and a record low of 2,549.260 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 500 Equal Weight Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.

United States New York Stock Exchange: Index: US Large Cap Equal Weight Index data was reported at 16,258.144 NA in Apr 2025. This records a decrease from the previous number of 16,481.009 NA for Mar 2025. United States New York Stock Exchange: Index: US Large Cap Equal Weight Index data is updated monthly, averaging 10,156.860 NA from Oct 2014 (Median) to Apr 2025, with 127 observations. The data reached an all-time high of 17,914.299 NA in Nov 2024 and a record low of 6,591.390 NA in Jan 2016. United States New York Stock Exchange: Index: US Large Cap Equal Weight Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.

United States New York Stock Exchange: Index: S&P 100 Equal Weight Index data was reported at 4,644.510 NA in Apr 2025. This records a decrease from the previous number of 4,742.040 NA for Mar 2025. United States New York Stock Exchange: Index: S&P 100 Equal Weight Index data is updated monthly, averaging 2,577.820 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 4,945.180 NA in Feb 2025 and a record low of 1,561.590 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 100 Equal Weight Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.

Investor uncertainty, nicknamed "the fear index," tracks the VIX-CBOE Volatility Index, which measures the prices of various call and put options for the S&P 500. A higher value represents greater uncertainty in the future price of the S&P 500. Annual totals represent an equally weighted average of the monthly mean value of the index, calculated as the average of the adjusted close for every trading day during a particular month. Data is sourced from the Chicago Board Options Exchange.

The index provides the only comprehensive measure available for non-income poverty, which has become a critical underpinning of the SDGs. Critically the MPI comprises variables that are already reported under the Demographic Health Surveys (DHS) and Multi-Indicator Cluster Surveys (MICS) The resources subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023)

The Safety Index offers a statewide comparison of UDOT roadways, taking into account the different traffic patterns and volumes experienced in urban and rural areas. The Safety Index is a combination of four, equally weighted safety analysis sub-scores: Crash Rate Score, Severe Crash Rate Score, Crashes per Mile Score, Severe Crashes per Mile Score. The Safety Index is reported on a 0 to 10 scale, with 10 representing the worst conditions. The data reflect crashes from 2011 through 2013. For questions on this data please contact Scott Jones at wsjones@utah.gov. Data in this map is protected under 23 USC 409.

France NYSE Euronext Paris: Index: CAC 40 Equal Weight Index data was reported at 2,677.160 NA in Apr 2025. This records a decrease from the previous number of 2,686.580 NA for Mar 2025. France NYSE Euronext Paris: Index: CAC 40 Equal Weight Index data is updated monthly, averaging 2,043.555 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 2,785.640 NA in Mar 2024 and a record low of 1,090.260 NA in May 2012. France NYSE Euronext Paris: Index: CAC 40 Equal Weight Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s France – Table FR.EDI.SE: NYSE Euronext Paris: Monthly.

United States New York Stock Exchange: Index: S&P 500 Equal Weight Real Estate data was reported at 2,113.530 NA in Apr 2025. This records a decrease from the previous number of 2,174.410 NA for Mar 2025. United States New York Stock Exchange: Index: S&P 500 Equal Weight Real Estate data is updated monthly, averaging 1,718.870 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 2,616.560 NA in Dec 2021 and a record low of 1,231.090 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 500 Equal Weight Real Estate data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.

The industrial production index measures the output from the mining, manufacturing, electric and gas industries. The data for this report is sourced from the Federal Reserve and is indexed to 2017. The values presented in this report are annual figures, derived from equally weighted monthly averages.