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.

Hang Seng Index: The Future of Hong Kong?

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

Hong Kong Total Return Index: Hang Seng Composite Index: IT data was reported at 18,163.840 03Jan2000=2000 in Jun 2018. This records a decrease from the previous number of 18,619.860 03Jan2000=2000 for May 2018. Hong Kong Total Return Index: Hang Seng Composite Index: IT data is updated monthly, averaging 2,643.180 03Jan2000=2000 from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 21,098.540 03Jan2000=2000 in Jan 2018 and a record low of 746.260 03Jan2000=2000 in Apr 2003. Hong Kong Total Return Index: Hang Seng Composite Index: IT data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z001: Main Board: Stock Market Index.

Hong Kong Total Return Index: Hang Seng Composite Index: Conglomerates data was reported at 4,456.800 03Jan2000=2000 in Jun 2018. This records a decrease from the previous number of 4,709.630 03Jan2000=2000 for May 2018. Hong Kong Total Return Index: Hang Seng Composite Index: Conglomerates data is updated monthly, averaging 2,865.195 03Jan2000=2000 from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 5,649.940 03Jan2000=2000 in May 2015 and a record low of 1,046.220 03Jan2000=2000 in Apr 2003. Hong Kong Total Return Index: Hang Seng Composite Index: Conglomerates data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z001: Main Board: Stock Market Index.

Total Return Index: Hang Seng Composite Index: Utilities data was reported at 15,261.980 03Jan2000=2000 in Jun 2018. This records a decrease from the previous number of 15,756.880 03Jan2000=2000 for May 2018. Total Return Index: Hang Seng Composite Index: Utilities data is updated monthly, averaging 7,651.545 03Jan2000=2000 from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 15,756.880 03Jan2000=2000 in May 2018 and a record low of 1,867.820 03Jan2000=2000 in Feb 2000. Total Return Index: Hang Seng Composite Index: Utilities data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z001: Main Board: Stock Market Index.

Hong Kong Total Return Index: Hang Seng Composite Index: Energy data was reported at 20,124.130 03Jan2000=2000 in Jun 2018. This records a decrease from the previous number of 20,725.800 03Jan2000=2000 for May 2018. Hong Kong Total Return Index: Hang Seng Composite Index: Energy data is updated monthly, averaging 14,516.985 03Jan2000=2000 from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 26,897.844 03Jan2000=2000 in Oct 2007 and a record low of 1,451.620 03Jan2000=2000 in Jan 2001. Hong Kong Total Return Index: Hang Seng Composite Index: Energy data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z001: Main Board: Stock Market 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.

The Bear Market in Hong Kong: A Sign of Trouble for the Global Economy?

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

The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of June 2025. The following three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

Hong Kong Total Return Index: Hang Seng Composite Index: Financials data was reported at 8,275.990 03Jan2000=2000 in Jun 2018. This records a decrease from the previous number of 8,803.550 03Jan2000=2000 for May 2018. Hong Kong Total Return Index: Hang Seng Composite Index: Financials data is updated monthly, averaging 4,754.690 03Jan2000=2000 from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 9,677.300 03Jan2000=2000 in Jan 2018 and a record low of 1,593.920 03Jan2000=2000 in May 2000. Hong Kong Total Return Index: Hang Seng Composite Index: Financials data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z001: Main Board: Stock Market Index.

Hong Kong Total Return Index: Hang Seng Composite Index: Telecommunications data was reported at 2,591.640 03Jan2000=2000 in Jun 2018. This records a decrease from the previous number of 2,633.360 03Jan2000=2000 for May 2018. Hong Kong Total Return Index: Hang Seng Composite Index: Telecommunications data is updated monthly, averaging 2,117.795 03Jan2000=2000 from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 3,713.824 03Jan2000=2000 in Oct 2007 and a record low of 429.360 03Jan2000=2000 in Mar 2003. Hong Kong Total Return Index: Hang Seng Composite Index: Telecommunications data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z001: Main Board: Stock Market Index.

As of December 2024, the Shanghai Stock Exchange had the largest domestic market capitalization among stock exchanges in the Asia Pacific region, amounting to approximately *** trillion U.S. dollars. Second in the ranking was the Shanghai Stock Exchange Group, followed by the Shenzhen Stock Exchange. Stock exchanges in Asia PacificThe major stock exchanges in the Asia-Pacific region are the Tokyo Stock Exchange in Japan, the Shanghai and Shenzhen Stock Exchange in Mainland China, the Hong Kong Stock Exchange in Hong Kong, and the Bombay Stock Exchange in India, which is also the oldest stock exchange in Asia. Also, five out of the ten largest stock exchange operators in the world are located in Asia.What is market capitalization?Market capitalization, also commonly referred to as market cap, is a measure of the total market value of outstanding shares of a company on the stock market. It indicates a company’s relative size and value while taking various determinants such as risk and the market’s perception into consideration. There are large-cap (>** billion), mid-cap (* to ** billion) and small-cap (*** million to * billion) companies depending on their market capitalization.

Hong Kong Total Return Index: Hang Seng Composite Index: Consumer Goods data was reported at 7,506.210 03Jan2000=2000 in Oct 2018. This records a decrease from the previous number of 8,619.810 03Jan2000=2000 for Sep 2018. Hong Kong Total Return Index: Hang Seng Composite Index: Consumer Goods data is updated monthly, averaging 5,670.390 03Jan2000=2000 from Jan 2000 (Median) to Oct 2018, with 226 observations. The data reached an all-time high of 10,429.800 03Jan2000=2000 in May 2018 and a record low of 1,064.590 03Jan2000=2000 in Sep 2001. Hong Kong Total Return Index: Hang Seng Composite Index: Consumer Goods data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong SAR – Table HK.Z001: Main Board: Stock Market Index.

Hong Kong Total Return Index: Hang Seng Composite Index: Industrial Goods data was reported at 2,306.270 03Jan2000=2000 in Jun 2018. This records a decrease from the previous number of 2,463.480 03Jan2000=2000 for May 2018. Hong Kong Total Return Index: Hang Seng Composite Index: Industrial Goods data is updated monthly, averaging 1,735.067 03Jan2000=2000 from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 2,749.610 03Jan2000=2000 in Jul 2000 and a record low of 735.375 03Jan2000=2000 in Oct 2008. Hong Kong Total Return Index: Hang Seng Composite Index: Industrial Goods data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z001: Main Board: Stock Market Index.