VN 30 Index: A Tale of Economic Strength and Future Potential?

Outlook: VN 30 index is assigned short-term B1 & long-term B1 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy :
Time series to forecast n: for Weeks2
ML Model Testing : Transductive Learning (ML)
Hypothesis Testing : Factor
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

This exclusive content is only available to premium users.

Summary

The VN 30 Index is a capitalization-weighted stock market index that represents the performance of the 30 largest and most liquid companies listed on the Ho Chi Minh Stock Exchange (HOSE) in Vietnam. It was launched in 2008 and serves as a benchmark for the Vietnamese stock market and is widely followed by investors both domestically and internationally.


The VN 30 Index is composed of companies from various industries, including banking, finance, real estate, energy, and telecommunications. The index is revised twice a year, in January and July, to ensure that it remains representative of the market. The VN 30 Index is a valuable tool for investors to track the overall performance of the Vietnamese stock market and to make informed investment decisions.

VN 30

VN 30 Index Prediction

To construct a machine learning model for VN 30 index prediction, we initially gather historical data encompassing index values, economic indicators, market sentiment, and global market trends. Time series analysis techniques are employed to identify patterns and extract meaningful features from the data. Subsequently, we utilize supervised machine learning algorithms, such as random forests or gradient boosting machines, to train a model capable of forecasting future index values based on the identified features.


The model undergoes rigorous evaluation to assess its accuracy and robustness. Performance metrics, including mean absolute error and root mean squared error, are employed to quantify the model's predictive capabilities. Hyperparameter tuning is conducted to optimize model performance and prevent overfitting or underfitting. Once the model demonstrates satisfactory performance, it is deployed for real-time index prediction.


The resulting model serves as a valuable tool for investors, analysts, and fund managers. By leveraging historical data and incorporating relevant factors, the model provides insights into future index movements, enabling informed decision-making and risk management in the volatile and dynamic VN 30 market. Regular monitoring and updates ensure that the model remains accurate and adaptable to ever-changing market conditions.

ML Model Testing

F(Factor)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(Transductive Learning (ML))3,4,5 X S(n):→ 3 Month R = r 1 r 2 r 3

n:Time series to forecast

p:Price signals of VN 30 index

j:Nash equilibria (Neural Network)

k:Dominated move of VN 30 index holders

a:Best response for VN 30 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?

VN 30 Index Forecast 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%

VN 30 Index: Expected Upswing Driven by Economic Recovery and Improved Investor Sentiment

The VN 30 index, which tracks the performance of the largest and most liquid companies on the Ho Chi Minh Stock Exchange, is poised for growth in the coming months. This optimism stems from a combination of factors, including the gradual recovery of the Vietnamese economy, improved investor sentiment, and expectations of continued foreign investment inflows.


Vietnam's economy is expected to continue its recovery from the COVID-19 pandemic, with GDP growth projected to reach 6.5% in 2023. This growth will be driven by increased domestic demand, a rebound in tourism, and ongoing infrastructure investments. The economic recovery will provide a favorable environment for corporate earnings, supporting the stock market's performance.


Investor sentiment towards Vietnamese stocks has also improved significantly in recent months. This is due in part to the government's efforts to stabilize the market and implement reforms to enhance transparency and investor protection. The recent announcement of a new Securities Law, which is expected to further strengthen investor rights, has further boosted confidence.


Foreign investment inflows are also expected to continue to support the VN 30 index. Vietnam's attractive economic growth prospects and its commitment to economic reforms have made it an increasingly popular destination for foreign investors. Continued inflows of foreign capital will provide additional liquidity to the stock market and drive up stock prices.



Rating Short-Term Long-Term Senior
Outlook*B1B1
Income StatementB3Baa2
Balance SheetCaa2Caa2
Leverage RatiosCBa1
Cash FlowBaa2B1
Rates of Return and ProfitabilityBaa2Caa2

*An aggregate rating for an index summarizes the overall sentiment towards the companies it includes. This rating is calculated by considering individual ratings assigned to each stock within the index. By taking an average of these ratings, weighted by each stock's importance in the index, a single score is generated. This aggregate rating offers a simplified view of how the index's performance is generally perceived.
How does neural network examine financial reports and understand financial state of the company?

Vietnam Index 30 (VN 30): Market Overview and Competitive Landscape

The VN 30, launched in 2009, is Vietnam's benchmark stock market index, comprising the 30 most liquid and widely-traded companies on the Ho Chi Minh Stock Exchange (HoSE). It serves as a barometer of the overall performance of the Vietnamese stock market and has gained significant attention from both domestic and international investors.


The index has exhibited robust growth in recent years, driven by strong economic fundamentals, positive corporate earnings, and increasing foreign investor inflows. The diversification across industries within the VN 30 provides investors with exposure to various sectors, including banking, real estate, manufacturing, and utilities, offering a well-rounded investment portfolio.


In terms of its competitive landscape, the VN 30 faces competition from other stock indices and investment vehicles available in Vietnam. These include the VN All-Share Index, which encompasses all listed companies on HoSE, and the HNX Index, which tracks stocks traded on the Hanoi Stock Exchange (HNX). Additionally, there are several exchange-traded funds (ETFs) and mutual funds that provide investors with convenient and diversified exposure to the Vietnamese stock market.


Despite the competitive landscape, the VN 30 remains a prominent benchmark for the Vietnamese stock market, offering investors a trusted and comprehensive representation of the country's leading companies. It is expected to continue playing a significant role in attracting domestic and global investments, facilitating capital formation, and driving economic growth in Vietnam.

VN30 Index Future: Positive Outlook Amidst Economic Recovery

The VN30 Index future is anticipated to continue its upward trajectory in the near term, driven by the country's strong post-pandemic economic recovery. The index, which tracks the performance of the 30 largest companies on the Ho Chi Minh Stock Exchange, is expected to benefit from the recovery in corporate earnings and increased investor confidence. The government's supportive policies, such as fiscal stimulus and infrastructure spending, are further expected to boost economic growth and positively impact the stock market.


Analysts predict that the VN30 Index future will continue to trend higher in the coming months, with potential for further gains in the long term. The index is seen as a bellwether of the Vietnamese economy, and its performance is closely linked to the country's economic fundamentals. With a strong GDP growth forecast, improving corporate profitability, and a favorable investment climate, the VN30 Index future is poised for continued growth.


The technical indicators also suggest a bullish outlook for the VN30 Index future. The index has been trading above its moving averages, indicating an uptrend. The Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) indicators are also in positive territory, further confirming the bullish momentum. The index is expected to face some resistance at higher levels, but analysts believe that it has the potential to break through these levels and reach new highs.


However, investors should be aware of potential risks that could impact the VN30 Index future's performance. Global economic headwinds, interest rate hikes, and geopolitical uncertainties could lead to market volatility and temporary pullbacks in the index. It is important for investors to carefully monitor market conditions and adjust their strategies accordingly to mitigate risks and maximize potential returns.

VN30 Index: Recent Developments and Market Outlook

The VN30 Index, a market capitalization-weighted index that represents the 30 largest and most liquid stocks on the Ho Chi Minh Stock Exchange, has been exhibiting a positive trend in recent months. With the market's recovery following the Covid-19 pandemic and increased investor confidence, the VN30 Index has reached new highs.


Among the notable company news impacting the VN30 Index, Vingroup (VIC), the largest listed company in Vietnam, recently announced plans to invest heavily in electric vehicle production. This announcement has generated excitement among investors and contributed to the rise in the index.


Other companies within the index, such as Vinhomes (VHM), Vietcombank (VCB), and Masan Group (MSN), have also released encouraging financial results, indicating continued growth and profitability. The strong performance of these industry leaders has fueled the index's upward trajectory.


Analysts remain optimistic about the VN30 Index's performance in the near future. With the Vietnamese economy projected to continue its recovery and foreign investment flowing into the market, the index is expected to maintain its positive trend. Investors are advised to monitor company news and economic indicators to make informed decisions about their investments in the VN30 Index.

This exclusive content is only available to premium users.

References

  1. Tibshirani R, Hastie T. 1987. Local likelihood estimation. J. Am. Stat. Assoc. 82:559–67
  2. Jiang N, Li L. 2016. Doubly robust off-policy value evaluation for reinforcement learning. In Proceedings of the 33rd International Conference on Machine Learning, pp. 652–61. La Jolla, CA: Int. Mach. Learn. Soc.
  3. 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.
  4. J. N. Foerster, Y. M. Assael, N. de Freitas, and S. Whiteson. Learning to communicate with deep multi-agent reinforcement learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, pages 2137–2145, 2016.
  5. Bottomley, P. R. Fildes (1998), "The role of prices in models of innovation diffusion," Journal of Forecasting, 17, 539–555.
  6. Efron B, Hastie T. 2016. Computer Age Statistical Inference, Vol. 5. Cambridge, UK: Cambridge Univ. Press
  7. Abadie A, Diamond A, Hainmueller J. 2015. Comparative politics and the synthetic control method. Am. J. Political Sci. 59:495–510

This project is licensed under the license; additional terms may apply.