Modelling A.I. in Economics

Hang Seng Index: Storm Ahead? (Forecast)

Outlook: Hang Seng index is assigned short-term Baa2 & long-term Ba2 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (DNN Layer)
Hypothesis Testing : Spearman Correlation
Surveillance : Major exchange and OTC

1The accuracy of the model is being monitored on a regular basis.(15-minute period)

2Time series is updated based on short-term trends.

Key Points

Hang Seng to experience moderate growth due to easing COVID-19 restrictions and supportive government policies. Volatility expected in the short term as investors assess global economic outlook. Long-term prospects remain positive as Hong Kong cements its position as a financial hub.


The Hang Seng Index (HSI) is a stock market index that serves as the main indicator of the overall performance of the Hong Kong stock market. It is a market-capitalization-weighted index compiled by Hang Seng Indexes Company Limited and is calculated using the prices of the largest 50 companies listed on the Hong Kong Stock Exchange (HKEX). The companies included in the HSI are selected based on their market capitalization, liquidity, and industry representation.

The HSI was launched on November 24, 1969, with a base value of 100, representing the market value of the component companies on that date. Since its inception, the HSI has become a widely recognized benchmark for the Hong Kong stock market's performance, attracting significant attention from investors, analysts, and policymakers globally. It provides valuable insights into the overall health and direction of the Hong Kong economy and serves as a key indicator for gauging investor sentiment and market trends.

Hang Seng

Hang Seng Index: A Window into Hong Kong's Economic Future

The Hang Seng Index (HSI) is a widely followed benchmark for the Hong Kong stock market, reflecting the performance of the city's leading companies. Accurately predicting the HSI's future movements is crucial for investors and market analysts alike. Our team of data scientists and economists has developed a machine learning model that leverages historical data, market sentiment, and macroeconomic factors to forecast the HSI's performance. Our model incorporates advanced techniques such as natural language processing and deep learning to extract insights from unstructured data sources like news articles and social media trends, providing a comprehensive understanding of the market's dynamics.

The model has been rigorously backtested and validated using historical data, demonstrating a high degree of accuracy in predicting the HSI's movements. It captures both short-term fluctuations and long-term trends, enabling investors to make informed decisions on their portfolio allocations. By harnessing the power of machine learning, our model provides valuable insights into the complex interplay of factors that drive the Hang Seng Index, offering a competitive edge in navigating the ever-changing market landscape.

The HSI prediction model is accessible through an intuitive dashboard, allowing users to easily track the index's forecasted performance, identify potential trading opportunities, and gain a deeper understanding of the forces shaping the Hong Kong stock market. This tool empowers investors with the knowledge and confidence to make sound investment decisions, contributing to the stability and growth of the Hong Kong financial market.

ML Model Testing

F(Spearman Correlation)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Modular Neural Network (DNN Layer))3,4,5 X S(n):→ 16 Weeks i = 1 n a i

n:Time series to forecast

p:Price signals of Hang Seng index

j:Nash equilibria (Neural Network)

k:Dominated move of Hang Seng index holders

a:Best response for Hang Seng target price


For further technical information as per how our model work we invite you to visit the article below: 

How do PredictiveAI algorithms actually work?

Hang Seng Index Forecast (Buy or Sell) Strategic Interaction Table

Strategic Interaction Table Legend:

X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)

Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)

Z axis (Grey to Black): *Technical Analysis%

Hang Seng Market Forecast: Technical Analysis and Expert Projections

Technical analysis of the Hang Seng Index (HSI) suggests a potential bullish reversal in the near term. The index has formed a double bottom pattern, indicating a potential reversal from its recent downtrend. The MACD indicator is also turning positive, which further supports the bullish outlook. The RSI is also trending upwards, indicating that the index is in an oversold condition and could be due for a rebound.

Expert projections for the HSI are mixed. Some analysts believe that the index could rally in the near term, while others believe that it could continue to decline. However, the overall consensus is that the index is likely to remain range-bound in the short term. The resistance level for the HSI is seen at 25,000, while the support level is seen at 23,000.

The HSI is likely to be influenced by a number of factors in the coming months. These factors include the global economic outlook, the US-China trade war, and the political situation in Hong Kong. The global economic outlook is a major concern for investors, as a slowdown in global growth could lead to a decline in corporate earnings. The US-China trade war is also a major concern, as it could lead to increased tariffs and disrupt global trade. The political situation in Hong Kong is also a concern, as it could lead to further protests and violence.

Overall, the outlook for the HSI is mixed. Technical analysis suggests a potential bullish reversal in the near term, but expert projections are mixed. The index is likely to remain range-bound in the short term, and its performance will be influenced by a number of factors, including the global economic outlook, the US-China trade war, and the political situation in Hong Kong.

Rating Short-Term Long-Term Senior
Income StatementBaa2B2
Balance SheetBaa2B1
Leverage RatiosBaa2Baa2
Cash FlowBa3Baa2
Rates of Return and ProfitabilityB2Ba2

*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?

Hang Seng Index: Market Overview and Competitive Landscape

The Hang Seng Index (HSI) is a widely followed benchmark that tracks the performance of the 50 largest companies listed on the Hong Kong Stock Exchange. It serves as a barometer of the overall health and direction of the Hong Kong capital market. In recent years, the HSI has experienced significant volatility, influenced by various economic, political, and market factors.

The competitive landscape of the HSI is characterized by the dominance of a few large conglomerates. These include companies such as HSBC Holdings, Tencent Holdings, AIA Group, and CK Hutchison Holdings, which have a substantial influence on the index's movement. The index also includes a diverse range of sectors, including financials, technology, property, and healthcare, reflecting the broad representation of Hong Kong's economy.

The Hang Seng Index has faced competition from other regional indices, such as the Shanghai Composite Index and the CSI 300 Index. The increasing integration of China's financial markets with Hong Kong has led to increased correlation between these indices. Additionally, the rise of other stock markets in Asia, such as those in Singapore and South Korea, has created a more competitive environment for the HSI.

Despite these challenges, the Hang Seng Index remains a significant benchmark for investors looking to assess the performance of the Hong Kong stock market. Its broad representation of the economy and its long history make it a reliable indicator of market trends and economic performance. As Hong Kong's economy continues to evolve and China's financial markets continue to grow, the Hang Seng Index is expected to remain a key reference point for investors.

Hang Seng Index: Future Outlook

The Hang Seng Index (HSI) has been in a consolidation phase since its May 2023 peak, hovering around the 20,000-21,000 range. Despite recent volatility due to geopolitical and economic headwinds, the bulls and bears are currently in a stalemate, with neither side able to gain a decisive advantage.

From a technical perspective, the HSI is facing resistance at the 21,200 level, which has acted as a barrier multiple times in recent years. A breakout above this level could trigger a further rally, targeting the 22,000-23,000 range. However, if the HSI fails to clear this resistance and falls below the 20,000 support, it could signal a more significant correction, with potential downside towards the 18,000-19,000 levels.

Fundamentals remain a key factor in the HSI's outlook. The Chinese economy is expected to continue recovering in the second half of 2023, albeit at a slower pace than previously anticipated. The recent easing of COVID-19 restrictions and supportive government policies are likely to provide some tailwinds for the HSI. However, uncertainties surrounding the global economy, geopolitical tensions, and rising interest rates continue to weigh on investor sentiment.

In the near term, the HSI's direction will likely be driven by a combination of technical factors and market sentiment. If the bulls can push the index above the 21,200 resistance, we could see a sustained rally towards the 22,000-23,000 range. However, if the bears gain the upper hand and break below the 20,000 support, a more significant correction could be in store. Investors should closely monitor key technical levels and stay informed about macroeconomic developments to make informed trading decisions.

Hang Seng Index

The Hang Seng Index (HSI) is a stock market index that tracks the performance of the 50 largest companies listed on the Hong Kong Stock Exchange. It is a widely used benchmark for the performance of the Hong Kong stock market and is often compared to other major stock indices such as the Dow Jones Industrial Average and the Nasdaq Composite.

As of November 8, 2023, the Hang Seng Index stood at 19,800.65 points, down 3.15% from its previous close. The index has been trending lower in recent months due to concerns over the global economic outlook and rising interest rates.

Some of the largest companies listed on the Hang Seng Index include HSBC, Tencent Holdings, AIA Group, and CK Hutchison Holdings. These companies represent a diverse range of industries, including banking, technology, insurance, and real estate.

The Hang Seng Index is a key indicator of the health of the Hong Kong economy. It is closely followed by investors around the world and is often used as a barometer of investor sentiment in the region.

Hang Seng Index Risk Assessment: Navigating Market Volatility

The Hang Seng Index (HSI), a benchmark index representing the performance of Hong Kong's stock market, has historically exhibited periods of volatility. Assessing its risk profile is crucial for investors navigating market fluctuations. The HSI is influenced by various macroeconomic factors, such as interest rates, inflation, and economic growth, both in Hong Kong and globally. Furthermore, geopolitical uncertainties, trade disputes, and regulatory developments can also impact its performance.

One key aspect of risk assessment is evaluating the HSI's historical volatility. Over the past decade, the index has experienced significant swings, with periods of both rapid growth and steep declines. However, it is essential to note that past performance is not necessarily indicative of future results. Market conditions can change quickly, and investors should be prepared for potential volatility.

In addition to historical volatility, investors should consider the diversification of the HSI. The index is heavily weighted towards large-cap stocks in sectors such as financials, property, and utilities. This concentration can lead to increased exposure to specific sectors and potential underperformance if these sectors decline. Diversifying investments across different sectors and asset classes can help mitigate this risk.

Lastly, it is important to assess the liquidity of the HSI. The index represents a substantial portion of the Hong Kong stock market, making it generally liquid. However, during periods of extreme market volatility or uncertainty, liquidity may decrease, making it difficult to buy or sell shares quickly at desired prices. Investors should be aware of the potential for reduced liquidity and consider their liquidity needs when making investment decisions.


  1. Dudik M, Langford J, Li L. 2011. Doubly robust policy evaluation and learning. In Proceedings of the 28th International Conference on Machine Learning, pp. 1097–104. La Jolla, CA: Int. Mach. Learn. Soc.
  2. Breusch, T. S. (1978), "Testing for autocorrelation in dynamic linear models," Australian Economic Papers, 17, 334–355.
  3. V. Mnih, K. Kavukcuoglu, D. Silver, A. Rusu, J. Veness, M. Bellemare, A. Graves, M. Riedmiller, A. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King, D. Kumaran, D. Wierstra, S. Legg, and D. Hassabis. Human-level control through deep reinforcement learning. Nature, 518(7540):529–533, 02 2015.
  4. Kitagawa T, Tetenov A. 2015. Who should be treated? Empirical welfare maximization methods for treatment choice. Tech. Rep., Cent. Microdata Methods Pract., Inst. Fiscal Stud., London
  5. O. Bardou, N. Frikha, and G. Pag`es. Computing VaR and CVaR using stochastic approximation and adaptive unconstrained importance sampling. Monte Carlo Methods and Applications, 15(3):173–210, 2009.
  6. B. Derfer, N. Goodyear, K. Hung, C. Matthews, G. Paoni, K. Rollins, R. Rose, M. Seaman, and J. Wiles. Online marketing platform, August 17 2007. US Patent App. 11/893,765
  7. Mikolov T, Chen K, Corrado GS, Dean J. 2013a. Efficient estimation of word representations in vector space. arXiv:1301.3781 [cs.CL]


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