The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Pakistan's main stock market index, the KSE 100, fell to 167838 points on December 2, 2025, losing 0.13% from the previous session. Over the past month, the index has climbed 3.09% and is up 60.52% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Pakistan. Pakistan Stock Market (KSE100) - values, historical data, forecasts and news - updated on December of 2025.

Key information about Israel TA-35

• Israel TA-35 closed at 3,273.4 points in Oct 2025, compared with 3,199.8 points at the previous month end
• Israel Equity Market Index: Month End: Israel: TA-35 data is updated monthly, available from Jan 2000 to Oct 2025, with an average number of 4.1 points
• The data reached an all-time high of 14.6 points in Jun 2021 and a record low of -11.6 points in Jun 2020

Venezuela's main stock market index, the IBC, rose to 1554 points on December 2, 2025, gaining 0.15% from the previous session. Over the past month, the index has declined 2.61%, though it remains 1,361.02% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Venezuela. Venezuela Stock Market (IBVC) - values, historical data, forecasts and news - updated on December of 2025.

In recent years, the international community has witnessed many crisis events, and the Russia-Ukraine war, which broke out on 24th February 2022, has increased international policy uncertainty and impacted the current world commodity and financial markets. Thus, we try to capture how the Russia-Ukraine war has affected the correlation structure of international commodity and stock markets. We study six groups of commodity daily returns and one group of stock daily returns and select the sample from 24th February 2022 to 1st June 2022 as the sample during the Russia-Ukraine war; in addition, we select the sample from 1st December 2019 to 31st December 2020 as the sample during COVID-19 control group, and the sample from 1st January 2014 to 31st December 2017 as the non-extreme event control group, to explore the correlation structure of international commodity and stock markets before the war, and to compare and uncover the impact of the uncertain event of the Russia-Ukraine war on the commodity and stock markets. In this paper, the marginal density function of each series is constructed using the ARMA-GARCH-std method, and the R-Vine copula model is built based on the marginal density function to analyze the correlation relationship between each market. From the Tree1 of the Vine copula, it is found that crude oil becomes the core connecting each commodity market and the stock market during the Russia-Ukraine war. The price fluctuations of crude oil may be contagious to agricultural and precious metal markets in the same direction, while the stock market price fluctuations are inversely correlated with commodity markets. Comparison with the selected control group sample reveals that the Russia-Ukraine war increases the correlation between the markets and enhances the possibility of risk transmission. The core of the correlation structure shifts from agricultural commodities and precious metals to crude oil after the Russia-Ukraine war.

New Zealand NZ: Stocks Traded: Total Value data was reported at 11.868 USD bn in 2017. This records an increase from the previous number of 10.936 USD bn for 2016. New Zealand NZ: Stocks Traded: Total Value data is updated yearly, averaging 5.407 USD bn from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 12.046 USD bn in 1999 and a record low of 937.670 USD mn in 1985. New Zealand NZ: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

In recent years, the international community has witnessed many crisis events, and the Russia-Ukraine war, which broke out on 24th February 2022, has increased international policy uncertainty and impacted the current world commodity and financial markets. Thus, we try to capture how the Russia-Ukraine war has affected the correlation structure of international commodity and stock markets. We study six groups of commodity daily returns and one group of stock daily returns and select the sample from 24th February 2022 to 1st June 2022 as the sample during the Russia-Ukraine war; in addition, we select the sample from 1st December 2019 to 31st December 2020 as the sample during COVID-19 control group, and the sample from 1st January 2014 to 31st December 2017 as the non-extreme event control group, to explore the correlation structure of international commodity and stock markets before the war, and to compare and uncover the impact of the uncertain event of the Russia-Ukraine war on the commodity and stock markets. In this paper, the marginal density function of each series is constructed using the ARMA-GARCH-std method, and the R-Vine copula model is built based on the marginal density function to analyze the correlation relationship between each market. From the Tree1 of the Vine copula, it is found that crude oil becomes the core connecting each commodity market and the stock market during the Russia-Ukraine war. The price fluctuations of crude oil may be contagious to agricultural and precious metal markets in the same direction, while the stock market price fluctuations are inversely correlated with commodity markets. Comparison with the selected control group sample reveals that the Russia-Ukraine war increases the correlation between the markets and enhances the possibility of risk transmission. The core of the correlation structure shifts from agricultural commodities and precious metals to crude oil after the Russia-Ukraine war.

In recent years, the international community has witnessed many crisis events, and the Russia-Ukraine war, which broke out on 24th February 2022, has increased international policy uncertainty and impacted the current world commodity and financial markets. Thus, we try to capture how the Russia-Ukraine war has affected the correlation structure of international commodity and stock markets. We study six groups of commodity daily returns and one group of stock daily returns and select the sample from 24th February 2022 to 1st June 2022 as the sample during the Russia-Ukraine war; in addition, we select the sample from 1st December 2019 to 31st December 2020 as the sample during COVID-19 control group, and the sample from 1st January 2014 to 31st December 2017 as the non-extreme event control group, to explore the correlation structure of international commodity and stock markets before the war, and to compare and uncover the impact of the uncertain event of the Russia-Ukraine war on the commodity and stock markets. In this paper, the marginal density function of each series is constructed using the ARMA-GARCH-std method, and the R-Vine copula model is built based on the marginal density function to analyze the correlation relationship between each market. From the Tree1 of the Vine copula, it is found that crude oil becomes the core connecting each commodity market and the stock market during the Russia-Ukraine war. The price fluctuations of crude oil may be contagious to agricultural and precious metal markets in the same direction, while the stock market price fluctuations are inversely correlated with commodity markets. Comparison with the selected control group sample reveals that the Russia-Ukraine war increases the correlation between the markets and enhances the possibility of risk transmission. The core of the correlation structure shifts from agricultural commodities and precious metals to crude oil after the Russia-Ukraine war.

In recent years, the international community has witnessed many crisis events, and the Russia-Ukraine war, which broke out on 24th February 2022, has increased international policy uncertainty and impacted the current world commodity and financial markets. Thus, we try to capture how the Russia-Ukraine war has affected the correlation structure of international commodity and stock markets. We study six groups of commodity daily returns and one group of stock daily returns and select the sample from 24th February 2022 to 1st June 2022 as the sample during the Russia-Ukraine war; in addition, we select the sample from 1st December 2019 to 31st December 2020 as the sample during COVID-19 control group, and the sample from 1st January 2014 to 31st December 2017 as the non-extreme event control group, to explore the correlation structure of international commodity and stock markets before the war, and to compare and uncover the impact of the uncertain event of the Russia-Ukraine war on the commodity and stock markets. In this paper, the marginal density function of each series is constructed using the ARMA-GARCH-std method, and the R-Vine copula model is built based on the marginal density function to analyze the correlation relationship between each market. From the Tree1 of the Vine copula, it is found that crude oil becomes the core connecting each commodity market and the stock market during the Russia-Ukraine war. The price fluctuations of crude oil may be contagious to agricultural and precious metal markets in the same direction, while the stock market price fluctuations are inversely correlated with commodity markets. Comparison with the selected control group sample reveals that the Russia-Ukraine war increases the correlation between the markets and enhances the possibility of risk transmission. The core of the correlation structure shifts from agricultural commodities and precious metals to crude oil after the Russia-Ukraine war.

Context

Nvidia Corporation is one of the largest developers of graphics processors and chipsets for personal computers and game consoles. The head office is in Santa Clara, California. NVIDIA Corporation does not have its own manufacturing facilities and therefore works according to the fabless principle.

The company was founded in January 1993 by Jen-Hsun Huang, Curtis Priem and Chris Malachowsky. In May 1995, Nvidia launched the NV1 (STG-2000), one of the first 3D accelerator processors (GPU). In January 1999, Nvidia was included in the NASDAQ (NVDA) and delivered the ten millionth graphics chip in the same year. In the Forbes Global 2000 of the world's largest companies, Nvidia ranks 572 (as of: 2017 financial year). The company had a market value of approximately US $155 billion in mid-2018.

Market cap: $4.400 Trillion USD

As of August 2025 NVIDIA has a market cap of $4.400 Trillion USD. This makes NVIDIA the world's most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

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Content

Geography: USA

Time period: Jan 1999- August 2025

Unit of analysis: NVIDIA Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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The S&P BSE Sensex index, one of India's two main stock indices, lost almost *********** of its value between the end of February and the end of March 2020, owing to the economic impact of the global coronavirus (COVID-19) pandemic. It has since recovered, surpassing its pre-corona level in *************.The S&P BSE Sensex index includes 30 companies listed on the Bombay Stock Exchange which are representative of various industrial sectors of the Indian economy. It is considered one of the main Indicators of the Indian stock market, along with the CNX Nifty Index (which includes shares from India's other main stock exchange, the National Stock Exchange).

This report lists the Top 50 global retailer groups by sales, which includes sales tax, per calendar year, so makes the data and market shares comparable. Read More

This statistic shows the share breakdown of the leading vendors in the analytic and performance management applications software market worldwide between 2014 and 2017. In 2017, SAP controlled **** percent of the global analytic and performance management applications software market.

Indonesia Capital Market: Stock Trading: Average Daily Trading: Growth data was reported at 74.599 % in Oct 2025. This records an increase from the previous number of 35.729 % for Sep 2025. Indonesia Capital Market: Stock Trading: Average Daily Trading: Growth data is updated monthly, averaging 4.621 % from Feb 2011 (Median) to Oct 2025, with 161 observations. The data reached an all-time high of 230.564 % in Nov 2016 and a record low of -47.121 % in Nov 2017. Indonesia Capital Market: Stock Trading: Average Daily Trading: Growth data remains active status in CEIC and is reported by Bank Indonesia.KAI: Financial System Statistics: Capital Market Sector.

Bank Rankings by Total Assets

Tracking the Financial Performance of the Top Banks

By Arthur Keen [source]

About this dataset

This dataset contains the top 100 global banks ranked by total assets on December 31, 2017. With a detailed list of key information for each bank's rank, country, balance sheet and US Total Assets (in billions), this data will be invaluable for those looking to research and study the current status of some of the world's leading financial organizations. From billion-dollar mega-banks such as JP Morgan Chase to small, local savings & loans institutions like BancorpSouth; this comprehensive overview allows researchers and analysts to gain a better understanding of who holds power in the world economy today

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How to use the dataset

This dataset contains the rank and total asset information of the top 100 global banks as of December 31, 2017. It is a useful resource for researchers who wish to study how key financial institutions' asset information relate to each other across countries.

Using this dataset is relatively straightforward – it consists of three columns - rank (the order in which each bank appears in the list), country (the country in which the bank is located) and total assets US billions (the total value expressed in US dollars). Additionally, there is a fourth column containing the balance sheet information for each bank as well.

In order to make full use of this dataset, one should analyse it by creating comparison grids based on different factors such as region, size or ownership structures. This can provide an interesting insight into how financial markets are structured within different economies and allow researchers to better understand some banking sector dynamics that are particularly relevant for certain countries or regions. Additionally, one can compare any two banks side-by-side using their respective balance sheets or distribution plot graphs based on size or concentration metrics by leverage or other financial ratios as well.

Overall, this dataset provides useful resources that can be put into practice through data visualization making an interesting reference point for trends analysis and forecasting purposes focusing on certain banking activities worldwide

Research Ideas

• Analyzing the differences in total assets across countries. By comparing and contrasting data, patterns could be found that give insight into the factors driving differences in banks’ assets between different markets.

• Using predictive models to identify which banks are more likely to perform better based on their balance sheet data, such as by predicting future profits or cashflows of said banks.

• Leveraging the information on holdings and investments of “top-ranked” banks as a guide for personal investments decisions or informing investment strategies of large financial institutions or hedge funds

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: top50banks2017-03-31.csv | Column name | Description | |:----------------------|:------------------------------------------------------------------------| | rank | The rank of the bank globally based on total assets. (Integer) | | country | The country where the bank is located. (String) | | total_assets_us_b | The total assets of a bank expressed in billions of US dollars. (Float) | | balance_sheet | A snapshot of banking activities for a specific date. (Date) |

File: top100banks2017-12-31.csv | Column name | Description | |:----------------------|:--------------------------------------------...

The total market capitalization of German companies listed on the Frankfurt Stock exchange reached **** trillion euros at the end of 2021. This is above the values found at the end of 2019 and 2017, indicating that Germany's stock market has largely recovered from the financial crash precipitated by the global coronavirus (COVID-19) pandemic in 2020. At the end of 2023, the total market capitalization of German companies listed on the Frankfurt Stock exchange closed at **** trillion euros, a significant decrease compared to the previous year. What is the Frankfurt Stock Exchange? While there are seven stock exchanges in Germany, the Frankfurt Stock Exchange is by far the most important, accounting for around ** percent of transactions. Run by Deutsche Börse AG, the Frankfurt Stock Exchange is comprised of two exchange trading venues: the traditional trading floor of the Börse Frankfurt, and the electronic trading platform Xetra (which in turn is divided into domestic and international markets). Xetra counts for the vast majority of the trading volume of the Frankfurt Stock Exchange. As an electronic platform, the technology behind Xetra is used by other stock exchanges around the world, strengthening the Frankfurt Stock Exchange’s competitive position while facilitating its capacity to handle international trading. As a result, the Frankfurt Stock Exchange is one of the largest stock exchanges in the world, sitting just outside the global top 10. The DAX Index The most important indicator of the German share market is the DAX index, which is comprised of the 30 largest German companies trading on the Frankfurt Stock Exchange. Some of the more famous companies included in the index are: car manufactures like Volkswagen, BMW and Daimler; clothing and shoe manufacturer Adidas; industrial companies BASF and Siemens; and pharmaceutical company Bayer. Following the DAX is the MDAX index, which covers the 60 next-largest German companies by market cap, then the SDAX index, comprised of the 70 next-largest companies after the MDAX.

This report lists the Top 50 global health & beauty retailers by consumer expenditure, which includes sales tax, for the 2017 calendar year, so company data and market shares are comparable. These include retailers operating across formats. Read More

Preferred-Stock-and-Other-Adjustments Time Series for PTT Global Chemical Public Company Limited. PTT Global Chemical Public Company Limited operates as a chemical company in Thailand and internationally. It operates through 6 segments: Upstream, Intermediates, Polymers and Chemicals, Bio and Circularity, Performance Chemicals, and Service and Others. The company offers refinery and shared facilities, which includes liquefied petroleum gas, light naphtha, reformate, jet fuel, diesel, and fuel oil; olefins comprising ethylene, propylene, butadiene, raffinate, butene, and pyrolysis gasoline; and aromatics including benzene, toluene, paraxylene, cyclohexane, orthoxylene, and mixed xylenes. It also provides phenol, bisphenol A, acetone; ethylene oxide; ethylene glycol; purified terephthalic acid, propylene oxide, acrylonitrile, and methyl methacrylate; hexamethylene diisocyanate, polyether and polymer polyols, premix polyols, and industrial coating resins; and green chemicals. In addition, the company offers polymers including high and low density polyethylene, linear low density polyethylene, polypropylene, polyethylene, terephthalate, polystyrene, and rotomolding and polypropylene compounds; methyl ester, glycerin, fatty alcohol, fatty alcohol, ethoxylate, and oleochemicals; and ethanolamine. Further, the company engages in the marketing and sales of products and packaging market development; technical, engineering, plant maintenance, safety, occupational health, environmental, and security businesses; and social enterprise and management consultancy. Additionally, it provides logistics, jetty, utilities, and infrastructure; liquidity management and financing, venture capital investment, and outsourcing; and transportation, packaging, and warehouse management services. It serves packaging, electronic and electronic equipment, automotive, agriculture, chemicals, construction, home, and personal applications. The company was incorporated in 2011 and is headquartered in Bangkok, Thailand.

Snapshot img { margin: 10px !important; } Overview of the global sorghum market

Market research analysts at Technavio predict that the global sorghum market will grow steadily during the forecast period and post a CAGR of around 5% by 2021. This market research analysis identifies the health benefits of sorghum as one of the primary growth factors for this market. The consumption of sorghum offers various benefits such as reliable source of dietary fiber, decreased chances of cancer, maintaining bone strength, and preventing anemia by aiding in the development of blood. Additionally, the consumption of sorghum also prevents consumers from suffering from numerous ailments and illnesses as it is rich in many ingredients which are beneficial for human consumption.

Players in the sorghum market are increasingly engaging in M&A strategies to increase their market share. Strategic partnerships are gradually increasing steadily which influences the demand and sorghum market growth. This business model enables the expansion of vendors across different geographies and enables vendors to acquire maximum market shares. The vendors opt for these business models so they get the potential to target the global market and increase their profitability.

Competitive landscape and key vendors

The sorghum market is highly fragmented with the presence of numerous small- and large-scale vendors competing on factors such as price, quality, innovation, reputation, and distribution. The competition is intense and it will further intensify due to diverse resources of the vendors. According to the sorghum market analysis research report, the performance of the market players is impacted by factors such as the regional, national, and local economic conditions, changing pattern in consumer spending, consumer tastes, changing economic conditions, and demographic trends.

The leading vendors in the market are -

Archer Daniels Midland
Bunge
Cargill
Chromatin

The other prominent vendors in the market are Associated British Foods, General Mills, Ingredion, Sai Agro Exim, and SEMO Milling.

Segmentation by application and analysis of the sorghum market

Human Consumption
Animal Feed

During 2016, the human consumption segment accounted for the major shares and dominated the sorghum market. Factors such as the numerous health benefits of sorghum and the use of sorghum flour for cooking will contribute to the growth of this sorghum market share and size in the coming years.

Geographical segmentation and analysis of the sorghum market

Americas
APAC
EMEA

This market study estimates that in terms of geographic regions, APAC will be the major revenue contributor to the sorghum market by 2021. This is mainly due to the presence of countries such as China and India that are the primary importers and consumers of sorghum for either consumption or for the production of ethanol.

Key questions answered in the report include

What will the market size and the growth rate be in 2021?
What are the key factors driving the global sorghum market?
What are the key market trends impacting the growth of the global sorghum market?
What are the challenges to market growth?
Who are the key vendors in the global sorghum market?
What are the market opportunities and threats faced by the vendors in the global sorghum market?
Trending factors influencing the market shares of the Americas, APAC, and EMEA.
What are the key outcomes of the five forces analysis of the global sorghum market? 

Technavio also offers clients the option to customize every report to suit their specific requirements and offers attractive discounts on all upcoming reports and future purchases.