In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

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.

The value of global domestic equity market increased from ***** trillion U.S. dollars in 2013 to ****** trillion U.S. dollars in 2024. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling ** trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded ** billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had a market cap of *** billion U.S. dollars as of March 2025.

The "Stock Market Dataset for AI-Driven Prediction and Trading Strategy Optimization" is designed to simulate real-world stock market data for training and evaluating machine learning models. This dataset includes a combination of technical indicators, market metrics, sentiment scores, and macroeconomic factors, providing a comprehensive foundation for developing and testing AI models for stock price prediction and trading strategy optimization.

Key Features Market Metrics:

Open, High, Low, Close Prices: Daily stock price movement. Volume: Represents the trading activity during the day. Technical Indicators:

RSI (Relative Strength Index): A momentum oscillator to measure the speed and change of price movements. MACD (Moving Average Convergence Divergence): An indicator to reveal changes in strength, direction, momentum, and duration of a trend. Bollinger Bands: Upper and lower bands around a stock price to measure volatility. Sentiment Analysis:

Sentiment Score: Simulated sentiment derived from financial news and social media, ranging from -1 (negative) to 1 (positive). Macroeconomic Factors:

GDP Growth: Indicates the overall health and growth of the economy. Inflation Rate: Reflects changes in purchasing power and economic stability. Target Variable:

Buy/Sell Signal: Binary classification (1 = Buy, 0 = Sell) based on price movement thresholds, simulating actionable trading decisions. Use Cases AI Model Training: Ideal for building stock prediction models using LSTM, Gradient Boosting, Random Forest, etc. Trading Strategy Optimization: Enables testing of trading algorithms and strategies in a simulated environment. Sentiment Analysis Research: Useful for understanding how sentiment influences stock movements. Feature Engineering and Selection: Provides a diverse set of features for experimentation with advanced techniques like PCA and LDA. Dataset Highlights Synthetic Yet Realistic: Carefully designed to mimic real-world financial data trends and relationships. Comprehensive Coverage: Includes key indicators and metrics used by traders and analysts. Scalable: Suitable for use in both small-scale academic projects and larger AI-driven trading platforms. Accessible for All Levels: The intuitive structure ensures that even beginners can utilize this dataset for financial machine learning applications. File Format The dataset is provided in CSV format, where:

Rows represent individual trading days. Columns represent features (technical indicators, market metrics, etc.) and the target variable. Acknowledgments This dataset is synthetically generated and is intended for research and educational purposes. It is not based on real market data and should not be used for actual trading.

FCHI The FCHI, or the CAC 40 Index, is a benchmark stock market index in France that represents the performance of the 40 most significant and actively traded stocks on the Euronext Paris. It includes major French companies across various sectors such as finance, energy, consumer goods, and technology. The index is widely used by investors and financial professionals to gauge the health of the French economy and serves as a key indicator of European market trends.

FTSE The FTSE 100 Index, commonly referred to as simply the FTSE, is a stock market index that tracks the performance of the 100 largest companies listed on the London Stock Exchange, ranked by market capitalization. It is one of the most widely followed indices in Europe and reflects the overall strength and direction of the UK's economy. Major multinational corporations in sectors like banking, oil, and pharmaceuticals are heavily represented in this index.

GDAXI The GDAXI, also known as the DAX 40 or simply DAX, is Germany’s leading stock market index, consisting of the 40 largest and most liquid German companies trading on the Frankfurt Stock Exchange. These companies are typically industry leaders in sectors such as automotive, industrial manufacturing, pharmaceuticals, and financial services. The DAX is a key indicator of economic performance in Germany and is closely watched by investors around the world.

HSI The HSI, or Hang Seng Index, is a stock market index that tracks the performance of the largest companies listed on the Hong Kong Stock Exchange. It serves as a key benchmark for the Hong Kong stock market and provides insight into the economic conditions of Hong Kong and greater China. The index includes companies from various sectors, including finance, real estate, and technology, many of which have significant operations in mainland China.

IDX The IDX Composite Index, often referred to as the Jakarta Composite Index, is the main stock market index for the Indonesia Stock Exchange (IDX). It measures the performance of all actively traded stocks listed on the exchange and is used as a key indicator of the overall health of the Indonesian economy. The index covers a wide range of industries, including banking, commodities, telecommunications, and consumer goods.

N225 The N225, or Nikkei 225, is Japan’s most well-known stock market index, comprising 225 top-quality companies listed on the Tokyo Stock Exchange. It is a price-weighted index that reflects the performance of major Japanese firms across various industries such as electronics, automotive, and financial services. The Nikkei 225 is considered a key barometer of Japan's economic health and is widely monitored by global investors.

NYA The NYA, or NYSE COMPOSITE INDEX, is a broad stock market index that includes all common stocks listed on the New York Stock Exchange. Unlike more narrow indices such as the Dow Jones Industrial Average, the NYA offers a comprehensive view of the entire NYSE market, covering companies across multiple sectors and market capitalizations. It is used by investors to assess the overall performance of the U.S. stock market.

Graph and download economic data for Rest of the World; Foreign Direct Investment in U.S.; Asset (Market Value), Market Value Levels (BOGZ1LM263092045Q) from Q4 1945 to Q2 2025 about FDI, market value, assets, and USA.

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

Graph and download economic data for Rest of the World; Foreign Direct Investment in U.S.: Equity; Asset (Market Value), Level (BOGZ1FL263092141A) from 1945 to 2024 about FDI, market value, equity, assets, and USA.

The Indian Stock Market Dataset provides a comprehensive collection of stock market data sourced from secondary sources, primarily Google, offering insights into investment opportunities and trends within the Indian financial landscape. This dataset encompasses a wide array of information, with a primary focus on Return on Investment (ROI) metrics and the respective industry sectors in which investments are made.

With a reliability rating of 80%, this dataset offers valuable insights for investors, analysts, researchers, and enthusiasts seeking to understand and navigate the complexities of the Indian stock market. The dataset serves as a foundational resource for analyzing market performance, identifying lucrative investment opportunities, and making informed decisions in a dynamic financial environment.

Key features of the dataset include:

ROI Analysis: The dataset provides detailed ROI metrics, allowing stakeholders to assess the profitability of various investment avenues over specific timeframes. By analyzing ROI trends, investors can gauge the performance of individual stocks, portfolios, or entire industry sectors, facilitating strategic investment planning and risk management.

Industry Classification: Each investment entry in the dataset is categorized according to its respective industry sector. This classification enables users to explore investment opportunities within specific sectors such as technology, healthcare, finance, energy, consumer goods, and more. Understanding industry dynamics and market trends is essential for optimizing investment portfolios and diversifying risk exposure.

Historical Data: The dataset includes historical stock market data, offering insights into past performance trends and market behavior. By examining historical data, users can identify patterns, correlations, and anomalies that may impact future investment decisions. Historical analysis empowers investors to make informed predictions and adapt strategies in response to evolving market conditions.

Data Accuracy: While the dataset boasts an accuracy rate of 80%, users should exercise diligence and consider additional sources for validation and verification. While the majority of data points are reliable, occasional discrepancies or inaccuracies may exist, highlighting the importance of due diligence and comprehensive analysis in the investment process.

Accessibility: The Indian Stock Market Dataset is easily accessible and user-friendly, catering to a diverse audience ranging from seasoned investors to novices exploring the world of finance. The dataset can be utilized for various purposes, including academic research, financial modeling, algorithmic trading, and investment portfolio management.

In summary, the Indian Stock Market Dataset offers a valuable resource for analyzing ROI and industry trends within the Indian financial landscape. With a focus on accuracy, accessibility, and comprehensive data coverage, this dataset empowers stakeholders to make informed investment decisions, optimize portfolio performance, and navigate the complexities of the dynamic stock market environment. Whether you're a seasoned investor or a novice enthusiast, this dataset provides valuable insights for unlocking the potential of the Indian stock market.

Securities Brokerages and Stock Exchanges Market Outlook

The global securities brokerages and stock exchanges market size is projected to grow significantly, with the market value estimated at USD 75 billion in 2023 and expected to reach USD 115 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 4.8% over the forecast period. The burgeoning growth can be attributed to the increasing participation of both retail and institutional investors, technological advancements in trading platforms, and the globalization of financial markets which have collectively contributed to the expansion of the securities brokerages and stock exchanges sector. This growth trajectory is further bolstered by the rising accessibility of financial markets to a broader audience, driven by the proliferation of online brokerage services and mobile trading platforms.

One of the primary growth factors for this market is the surge in retail investors entering the space, largely fueled by the democratization of trading through online platforms and apps. These platforms have significantly lowered the barriers to entry, providing user-friendly interfaces and educational content that empower individuals to manage their investments independently. Additionally, the rise of social media and financial forums has created a community-driven approach to investing, where retail investors share insights and strategies, further increasing market participation. The pandemic has accelerated this trend, as many individuals have turned to the stock market as a means of supplementing income during economic uncertainty.

Another key driver is the technological advancements shaping the landscape of securities trading. The incorporation of artificial intelligence, machine learning, and blockchain technologies has revolutionized the way trades are executed, making them faster, more secure, and more efficient. High-frequency trading, powered by sophisticated algorithms, has become a dominant force in the market, contributing to increased trading volumes and liquidity. Furthermore, the development of robo-advisors and automated trading systems has made investment management more accessible and affordable, attracting a diverse array of investors with varying levels of expertise.

Moreover, globalization has significantly impacted the securities brokerages and stock exchanges market, as cross-border trading has become more prevalent. Financial markets are increasingly interconnected, allowing investors to access global opportunities beyond their domestic exchanges. This has led to a diversification of investment portfolios, with investors seeking exposure to emerging markets that offer high growth potential. Consequently, stock exchanges around the world are collaborating and forming alliances to facilitate seamless trading across borders, enhancing liquidity and market depth.

Service Type Analysis

The service type segment of the securities brokerages and stock exchanges market can be broadly categorized into full-service brokerages, discount brokerages, and stock exchanges. Full-service brokerages offer a comprehensive range of services, including investment advice, portfolio management, research reports, and retirement planning. This segment is traditionally preferred by high-net-worth individuals and institutional investors who require personalized and in-depth financial services. Despite higher fees, the demand for full-service brokerages remains steady due to the value-added services they provide, especially in complex financial environments.

Discount brokerages have gained significant traction in recent years, driven by the rise of self-directed investing. These platforms offer low-cost trading services with minimal or no advisory support, appealing to price-sensitive retail investors who are confident in their investment decisions. The competitive pricing models of discount brokerages, coupled with their easy-to-use digital platforms, have disrupted the traditional brokerage industry by attracting a large pool of younger, tech-savvy investors. The shift towards online and mobile trading has further accelerated the growth of this segment.

Stock exchanges, as the backbone of capital markets, provide the infrastructure necessary for the trading of securities. They play a critical role in ensuring market transparency, liquidity, and price discovery. As financial markets evolve, stock exchanges are increasingly adopting innovative technologies to enhance their trading systems and attract more listings. The introduction of new trading products, such as derivatives and ETFs, has diversified the offeri

China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

Snapshot img

Securities Exchanges Market Size 2025-2029

The securities exchanges market size is forecast to increase by USD 56.67 billion at a CAGR of 12.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing demand for investment opportunities. This trend is fueled by a global economic recovery and a rising interest in various asset classes, particularly in emerging markets. Another key driver is the increasing focus on sustainable and environmental, social, and governance (ESG) investing. This shift reflects a growing awareness of the importance of long-term value creation and the role of exchanges in facilitating socially responsible investments. This trend is driven by the expanding securities business units, including stocks, bonds, mutual funds, and other securities, which cater to the needs of investment firms and individual investors. However, the market is not without challenges. Increasing market volatility poses a significant risk for exchanges and their clients.
Furthermore, the rapid digitization of trading and the emergence of alternative trading platforms are disrupting traditional exchange business models. To navigate these challenges, exchanges must adapt by investing in technology, expanding their product offerings, and building strong regulatory frameworks. Data analytics and big data are also crucial tools for e-brokerage firms to gain insights and make informed decisions. By doing so, they can capitalize on the market's growth potential and maintain their competitive edge. Geopolitical tensions, economic instability, and regulatory changes can all contribute to market fluctuations and uncertainty.

What will be the Size of the Securities Exchanges Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic market, financial instrument classification plays a crucial role in facilitating efficient trade matching through advanced execution quality metrics and order book liquidity. Quantitative trading models leverage options clearing corporation data to optimize portfolio holdings, while trade matching engines utilize high-speed data storage solutions and portfolio optimization algorithms to minimize latency and enhance market depth indicators. Data center infrastructure and network bandwidth capacity are essential components for supporting complex algorithmic trading strategies, including latency reduction and price volatility forecasting. Market impact measurement and risk assessment methodologies are integral to managing market impact and mitigating fraud, ensuring regulatory compliance through transaction reporting standards and regulatory compliance software.

Exchange traded funds (ETFs) have gained popularity, necessitating robust quote dissemination systems and trade surveillance analytics. Server virtualization and cybersecurity threat mitigation strategies further strengthen the market's resilience, enabling seamless integration of data-driven quantitative models and sophisticated fraud detection algorithms. Additionally, users of online trading platforms can easily monitor the performance of their assets thanks to real-time stock data.

How is this Securities Exchanges Industry segmented?

The securities exchanges industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Service

  Market platforms
  Capital access platforms
  Others


Trade Finance Instruments

  Equities
  Derivatives
  Bonds
  Exchange-traded funds
  Others


Type

  Large-cap exchanges
  Mid-cap exchanges
  Small-cap exchanges


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Switzerland
    UK


  APAC

    China
    Hong Kong
    India
    Japan


  Rest of World (ROW)

By Service Insights

The Market platforms segment is estimated to witness significant growth during the forecast period. The market is characterized by advanced technologies and systems that enable efficient price discovery, manage settlement risk, and ensure regulatory compliance. Market platforms, which include trading platforms, order-matching systems, and market data dissemination, hold the largest share of the market. These platforms facilitate the buying and selling of securities, providing market liquidity and transparency. Real-time market surveillance and high-frequency trading infrastructure are crucial components, ensuring fair and orderly markets and enabling efficient trade execution. Financial modeling techniques and algorithmic trading platforms optimize trading strategies, while electronic communication networks and central counterparty clearing minimize r

Reddit: /r/stocks

Analyzing User Engagement to Identify Market Trends

By Reddit [source]

About this dataset

This dataset provides a valuable opportunity for researchers to explore the fascinating world of stock exchange markets through the eyes of those participating in discussions on Reddit. We have compiled posts from the subredditstocks subreddit to provide researchers with an invaluable source of information on how stock market trends may be impacted by user sentiment. With detailed data columns such as post titles, scores, id's, URLs, comments counts and created times for each post we are offering a unique vantage point into understanding how stocks market discussions may inform our better understanding of these dynamics. By delving further into user sentiment and engagement with stock topics, investigators can put together meaningful pieces in assembling full-fledged investments picture that is based off sound evidence gained from real people’s experiences and opinion. Discovering new insights has never been made easier – let’s venture out on this journey together!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨! ### Research Ideas
• Using the score and comments data, researchers can determine which stocks are being discussed and tracked the most, indicating potential areas of interest in the stock market.
• Analyzing the body text of posts to identify common topics of conversation related to various stocks assists in providing a better understanding of users' feelings towards different stock investments.
• Through analyzing fluctuations in user engagement over time, researchers can observe which stocks have experienced an increase or decrease in user interest and reaction to new developments within different markets

Acknowledgements

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

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: stocks.csv | Column name | Description | |:--------------|:--------------------------------------------------------------------| | title | The title of the post. (String) | | score | The score of the post, based on the Reddit voting system. (Integer) | | url | The URL of the post. (String) | | comms_num | The number of comments on the post. (Integer) | | created | The date and time the post was created. (Timestamp) | | body | The body text of the post. (String) | | timestamp | The date and time the post was last updated. (Timestamp) |

Acknowledgements

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

The USD to ruble value lost significant ground after Russia's invasion of Ukraine, reaching a low of 135 rubles in March 2022. This devaluation is also observed in a chart that compares the monthly average of the ruble against both the U.S. dollar and the euro since 2008. A decline started in November 2020 and continued into 2021; no specific reason was given for the timing of this development. Interestingly, the USD/RUB exchange rate reached its highest point earlier in 2020, as one U.S. dollar could buy nearly 80 rubles in March 2020. Values were noticeably different years later, however, as the USD/RUB exchange rate was valued at 80.7 on November 14, 2025.

The rolling stock market was estimated to be worth just under **** billion U.S. dollars in 2023, with Asia-Oceania accounting for the largest share. Rolling stock market in Asia-Pacific Among the largest and fastest-growing countries within the Asia-Pacific region for rolling stock are India and China, with Indian Railways and CRRC ranked as key market players for this region. Reasons contributing to expansion in countries such as India include a growing population and a considerable number of migrant workers who rely on rail as a means of commuting. Back in 2020, there were approximately *** million migrant workers in China. Driving innovation in the sector One of the world’s leading rolling stock manufacturers, CRRC, reported investments of over ** billion Chinese yuan in its research and development activity in the 2022 financial year. As the company continues to develop and manufacture innovative technologies, such as electric and hybrid rail systems, CRRC has started to address concerns about sustainability and emissions while ensuring that it maintains a technological advantage over its competitors in the global market.

Iran Market Capitalization: TSE: Financial Intermediation: Investment Companies data was reported at 3.479 USD bn in Sep 2018. This records an increase from the previous number of 2.140 USD bn for Aug 2018. Iran Market Capitalization: TSE: Financial Intermediation: Investment Companies data is updated monthly, averaging 2.454 USD bn from Dec 2008 (Median) to Sep 2018, with 114 observations. The data reached an all-time high of 4.269 USD bn in Jun 2013 and a record low of 1.376 USD bn in Apr 2009. Iran Market Capitalization: TSE: Financial Intermediation: Investment Companies data remains active status in CEIC and is reported by Tehran Stock Exchange. The data is categorized under Global Database’s Iran – Table IR.Z002: Tehran Stock Exchange: Market Capitalization.

We examine the risk and reward of investing by constructing a uniquely comprehensivemarket portfolio of $150 trillion worth of global assets that financial investors have investedin, spanning the period 1970-2022 at the monthly frequency. This monthly frequency allowsus to more accurately estimate the risks involved with investing. Even though the Sharperatio of the global market portfolio is not much higher than that of equities, it is much morestable over time. Moreover, drawdowns of the global market portfolio are less deep andshorter. When the market portfolio is expressed in other currencies than the U.S. dollar,risks of investing appear larger.

Taiwan CCI: next 6 mth: Investment Prospect of Stock Market data was reported at 77.600 Point in Nov 2018. This records a decrease from the previous number of 85.300 Point for Oct 2018. Taiwan CCI: next 6 mth: Investment Prospect of Stock Market data is updated monthly, averaging 73.200 Point from Jan 2001 (Median) to Nov 2018, with 215 observations. The data reached an all-time high of 109.700 Point in Apr 2015 and a record low of 38.800 Point in Oct 2001. Taiwan CCI: next 6 mth: Investment Prospect of Stock Market data remains active status in CEIC and is reported by The Research Center for Taiwan Economic Development, National Central University. The data is categorized under Global Database’s Taiwan – Table TW.H018: Consumer Confidence Index (CCI).

Discover the latest market trends in security, bond, and stock trading. This in-depth analysis reveals a booming market exceeding $100 trillion, driven by fintech, increasing retail participation, and global economic growth. Explore regional breakdowns, key players, and future projections to 2033.

Discover the booming Securities Brokerage & Stock Exchange Services market! Our in-depth analysis reveals a $5 trillion market in 2025, projected to reach $9 trillion by 2033, driven by online trading, fintech, and global investment. Explore regional breakdowns, key players, and future trends.