Context:

The provided dataset is extracted from yahoo finance using pandas and yahoo finance library in python. This deals with stock market index of the world best economies. The code generated data from Jan 01, 2003 to Jun 30, 2023 that’s more than 20 years. There are 18 CSV files, dataset is generated for 16 different stock market indices comprising of 7 different countries. Below is the list of countries along with number of indices extracted through yahoo finance library, while two CSV files deals with annualized return and compound annual growth rate (CAGR) has been computed from the extracted data.

Number of Countries & Index:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F90ce8a986761636e3edbb49464b304d8%2FNumber%20of%20Index.JPG?generation=1688490342207096&alt=media" alt="">

Content:

Unit of analysis: Stock Market Index Analysis

This dataset is useful for research purposes, particularly for conducting comparative analyses involving capital market performance and could be used along with other economic indicators.

There are 18 distinct CSV files associated with this dataset. First 16 CSV files deals with number of indices and last two CSV file deals with annualized return of each year and CAGR of each index. If data in any column is blank, it portrays that index was launch in later years, for instance: Bse500 (India), this index launch in 2007, so earlier values are blank, similarly China_Top300 index launch in year 2021 so early fields are blank too.

The extraction process involves applying different criteria, like in 16 CSV files all columns are included, Adj Close is used to calculate annualized return. The algorithm extracts data based on index name (code given by the yahoo finance) according start and end date.

Annualized return and CAGR has been calculated and illustrated in below image along with machine readable file (CSV) attached to that.

To extract the data provided in the attachment, various criteria were applied:

1. Content Filtering: The data was filtered based on several attributes, including the index name, start and end date. This filtering process ensured that only relevant data meeting the specified criteria.

2. Collaborative Filtering: Another filtering technique used was collaborative filtering using yahoo finance, which relies on index similarity. This approach involves finding indices that are similar to other index or extended dataset scope to other countries or economies. By leveraging this method, the algorithm identifies and extracts data based on similarities between indices.

In the last two CSV files, one belongs to annualized return, that was calculated based on the Adj close column and new DataFrame created to store its outcome. Below is the image of annualized returns of all index (if unreadable, machine-readable or CSV format is attached with the dataset).

Annualized Return:

As far as annualised rate of return is concerned, most of the time India stock market indices leading, followed by USA, Canada and Japan stock market indices.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F37645bd90623ea79f3708a958013c098%2FAnnualized%20Return.JPG?generation=1688525901452892&alt=media" alt="">

Compound Annual Growth Rate (CAGR):

The best performing index based on compound growth is Sensex (India) that comprises of top 30 companies is 15.60%, followed by Nifty500 (India) that is 11.34% and Nasdaq (USA) all is 10.60%.

The worst performing index is China top300, however this is launch in 2021 (post pandemic), so would not possible to examine at that stage (due to less data availability). Furthermore, UK and Russia indices are also top 5 in the worst order.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F58ae33f60a8800749f802b46ec1e07e7%2FCAGR.JPG?generation=1688490409606631&alt=media" alt="">

Geography: Stock Market Index of the World Top Economies

Time period: Jan 01, 2003 – June 30, 2023

Variables: Stock Market Index Title, Open, High, Low, Close, Adj Close, Volume, Year, Month, Day, Yearly_Return and CAGR

File Type: CSV file

Inspiration:

• Time series prediction model
• Investment opportunities in world best economies
• Comparative Analysis of past data with other stock market indices or other indices

Disclaimer:

This is not a financial advice; due diligence is required in each investment decision.

Graph and download economic data for Composite Index of Twelve Leading Indicators, Original Trend, Short List for United States (M16072USM351SNBR) from Jan 1948 to Dec 1969 about composite, indexes, and USA.

This is the top 1,000 records of journals sorted by h-index.

This dataset provides values for INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Producer Price Index by Industry: Directory and Mailing List Publishers: Directory and Mailing List Publishing from Print Publishers (PCU511140511140P) from Dec 2003 to Sep 2025 about postal, printing, primary, services, PPI, industry, inflation, price index, indexes, price, and USA.

List of hyper-parameters and their values used while training.

Red List Index data was reported at 0.910 NA in 2024. This stayed constant from the previous number of 0.910 NA for 2023. Red List Index data is updated yearly, averaging 0.920 NA from Dec 1993 (Median) to 2024, with 32 observations. The data reached an all-time high of 0.920 NA in 2012 and a record low of 0.910 NA in 2024. Red List Index data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Liberia – Table LR.OWID.ESG: Environmental: Red List Index: Annual.

Graph and download economic data for Producer Price Index by Industry: Directory and Mailing List Publishers: Directory and Mailing List Publishing from Print - Ad Sales Including Phone Directory Listings (PCU5111405111401) from Sep 1984 to Sep 2025 about postal, advertisement, phone, telecom, printing, sales, PPI, industry, inflation, price index, indexes, price, and USA.

Background

Data is taken from Quandl using Python API on the SG NASDAQ collection. The metadata provided by NASDAQ on the list of available datasets is inaccurate and takes a long time to comb through because it is just the list of theoretical possible Quandl codes without regard for what actually exists - so you're welcome for the list in SG Indices.txt 😀 . Also, in "SG Indices.txt" some of the indices have two Quandl codes because the datasets were renamed around 2020 so I had to combine them together - take note if you want to source for it on your own.

Organisation

Some of the datasets are from 2001, some from 2007, some 2013 and a few 2020 so I have divided them into two zipped folders - one with the new datasets (2020 onwards) and the other with the remaining older time series (2013 minimum). SG Indices.txt contains the list of valid Quandl codes that contain datasets.

Should you want the latest, up to date information and wish you can use the Quandl link though you probably have to create an account and use an API key to avoid getting sample data. See my workbook for code snippets on how to combine the indices into a single csv or plot the indices, etc 😅.

Future ideas:

For index plotting, create bollinger bands using pd.rolling and put in functionality to limit the date ranges? Create something similar for the other countries out there?

All scientific names listed in the Official Lists and Indexes of Names in Zoology from the International Commission on Zoological Nomenclature (ICZN).

This table reports the list of the stock indices, volatility indices selected for the different countries and the list of banks used for the estimation of the financial indices.

The Office of Policy and Management (OPM) prepares the Public Investment Community (PIC) index not later than July 15 annually, pursuant to §7-545 of the Connecticut General Statutes (CGS). The PIC index measures the relative wealth and need of Connecticut’s towns by ranking them in descending order by their cumulative point allocations for: (1) per capita income; (2) adjusted equalized net grand list per capita; (3) equalized mill rate; (4) per capita aid to children receiving Temporary Family Assistance program benefits; and (5) unemployment rate. Pursuant to CGS §7-545 the PIC index includes each town that has a cumulative point ranking in the top quartile of the PIC Index (i.e. the 42 towns with the highest number of points). When a town’s ranking falls below the top quartile in a given fiscal year, the town's designation as a Public Investment Community continues for that year and the following four fiscal years. As a result, the PIC index includes certain towns carried over from previous fiscal years (indicated in the data as "grandfathered"). The PIC index determines eligibility for several financial assistance programs that various agencies administer, including: -Urban Action Bond Assistance -Small Town Economic Assistance Program -Community Economic Development Program -Residential Mortgage Guarantee Program -Education Cost Sharing -Malpractice Insurance Purchase Program -Connecticut Manufacturing Innovation Fund -Enterprise Corridor Zone Designation Most of the towns included on the PIC index are eligible to elect for assistance under the Small Town Economic Assistance Program (STEAP) in lieu of Urban Action Bond assistance, pursuant to CGS §4-66g(b). An eligible town’s legislative body (or its board of selectmen if the town’s legislative body is the town meeting) must vote to choose STEAP assistance and the town must notify OPM following the vote. STEAP election is valid for four years and the statute allows extensions for additional four-year periods.

Red List Index data was reported at 0.690 NA in 2024. This stayed constant from the previous number of 0.690 NA for 2023. Red List Index data is updated yearly, averaging 0.710 NA from Dec 1993 (Median) to 2024, with 32 observations. The data reached an all-time high of 0.740 NA in 1993 and a record low of 0.690 NA in 2024. Red List Index data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Dominica – Table DM.OWID.ESG: Environmental: Red List Index: Annual.

Hong Kong's main stock market index, the HK50, rose to 26095 points on December 2, 2025, gaining 0.24% from the previous session. Over the past month, the index has declined 0.24%, though it remains 32.15% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on December of 2025.

This dataset provides values for ECONOMIC OPTIMISM INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Red List Index data was reported at 0.620 NA in 2024. This stayed constant from the previous number of 0.620 NA for 2023. Red List Index data is updated yearly, averaging 0.640 NA from Dec 1993 (Median) to 2024, with 32 observations. The data reached an all-time high of 0.650 NA in 2000 and a record low of 0.620 NA in 2024. Red List Index data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Grenada – Table GD.OWID.ESG: Environmental: Red List Index: Annual.

Red List Index data was reported at 0.830 NA in 2024. This stayed constant from the previous number of 0.830 NA for 2023. Red List Index data is updated yearly, averaging 0.840 NA from Dec 1993 (Median) to 2024, with 32 observations. The data reached an all-time high of 0.860 NA in 1996 and a record low of 0.830 NA in 2024. Red List Index data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s United States – Table US.OWID.ESG: Environmental: Red List Index: Annual.

Dataset

This dataset was created by Maruf Ibragimov

Contents

Red List Index data was reported at 0.820 NA in 2024. This stayed constant from the previous number of 0.820 NA for 2023. Red List Index data is updated yearly, averaging 0.870 NA from Dec 1993 (Median) to 2024, with 32 observations. The data reached an all-time high of 0.920 NA in 1993 and a record low of 0.820 NA in 2024. Red List Index data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Papua New Guinea – Table PG.OWID.ESG: Environmental: Red List Index: Annual.

The Red List Index (RLI) shows trends in overall extinction risk for species, and is used by governments to track their progress towards targets for reducing biodiversity loss.Most species that move between categories on The IUCN Red List (see the section Reasons for Changing Category) do so because of improved knowledge or revised taxonomy. It is therefore impossible to determine any meaningful trends in the status of biodiversity simply by looking at overall changes in numbers of threatened species between updates. For this reason, the figures presented in the Summary Statistics for numbers of threatened species in each IUCN Red List since 1996 must be interpreted with extreme care; these figures illustrate increasing assessment efforts by IUCN and its Partners since 1996, helping to refine our current understanding of the status of biodiversity, rather than showing genuine status changes over time.To address this, the Red List Index (RLI) has been developed, which shows trends in the status of groups of species based only on genuine improvements or deteriorations in status of sufficient magnitude to qualify species for listing in more threatened or less threatened Red List Categories.