AUC Score :
Short-Term Revised1 :
Dominant Strategy :
Time series to forecast n:
ML Model Testing : Modular Neural Network (Market News Sentiment Analysis)
Hypothesis Testing : Stepwise Regression
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
Predictions for VN 30 index suggest a potential for upward movement and a breakout of the current range. However, there are risks associated with these predictions, including the impact of global economic headwinds, uncertainties in the geopolitical landscape, and fluctuations in the value of the Vietnamese dong.Summary
The VN 30 Index is a capitalization-weighted index of the 30 largest and most liquid stocks traded on the Ho Chi Minh Stock Exchange in Vietnam. It was launched on July 1, 2008, with a base value of 1,000 points. The index is calculated and published in real-time during trading hours, and is used by investors to track the performance of the Vietnamese stock market.
The constituents of the VN 30 Index are reviewed on a semi-annual basis, in January and July, by a committee composed of representatives from the State Securities Commission of Vietnam, the Ho Chi Minh Stock Exchange, and the Vietnam Securities Depository. The committee uses a set of criteria to select the stocks that will be included in the index, including market capitalization, liquidity, and financial performance.
Forecasting VN 30 with Machine Learning
Leveraging the power of machine learning, we have developed a state-of-the-art model to predict the movements of the VN 30 index. Our model is based on a comprehensive dataset that includes historical index values, economic indicators, and market sentiment data. We employed advanced algorithms such as neural networks and ensemble methods to capture complex relationships and patterns within the data.
To ensure accuracy, we utilized a rigorous training and validation process. The model was trained on a large historical dataset and optimized to minimize prediction errors. We conducted extensive cross-validation tests to evaluate the model's performance and avoid overfitting. The results demonstrated high accuracy, with the model capturing both short-term and long-term trends in the index's movements.
Our model provides valuable insights for investors and financial professionals. It can be used to make informed trading decisions, assess market risk, and optimize portfolio allocations. By leveraging machine learning, we are able to provide investors with a powerful tool that enhances their ability to navigate the complexities of the Vietnamese stock market and make data-driven decisions.
ML Model Testing
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:
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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: Cautious Optimism Amidst Market Volatility
The VN 30 Index, a benchmark for the performance of the top 30 companies on the Ho Chi Minh Stock Exchange (HOSE), has experienced a rollercoaster ride in recent months, mirroring the global economic landscape. Despite the index's recent recovery, there remains a degree of caution among investors as they navigate the volatile market conditions. Analysts anticipate a slow and steady recovery for the VN 30 Index, with potential upside limited by global headwinds and domestic economic concerns.
In the near term, the index is likely to face headwinds from rising inflation, geopolitical tensions, and the ongoing impact of the COVID-19 pandemic. The Russia-Ukraine conflict has disrupted supply chains and led to a spike in commodity prices, which could put pressure on corporate profitability. Additionally, domestic factors such as labor shortages and supply chain disruptions are also weighing on the index's performance.
However, there are also positive signs emerging. The Vietnamese government has been implementing measures to support economic growth, including fiscal and monetary stimulus. The country's exports have also performed well, supported by strong global demand for Vietnamese goods. These factors could provide a cushion against the negative headwinds and help the VN 30 Index recover in the medium term.
Overall, the outlook for the VN 30 Index is characterized by cautious optimism. While there are certainly risks to consider, the index is expected to benefit from the government's support and the country's strong economic fundamentals. Investors should adopt a prudent approach, diversifying their portfolios and investing for the long term. As the market stabilizes and the global economy recovers, the VN 30 Index has the potential to deliver solid returns for patient investors.
| Rating | Short-Term | Long-Term Senior |
|---|---|---|
| Outlook* | Ba3 | Ba2 |
| Income Statement | Caa2 | Baa2 |
| Balance Sheet | Baa2 | Ba3 |
| Leverage Ratios | B3 | Caa2 |
| Cash Flow | Baa2 | Ba3 |
| Rates of Return and Profitability | Ba3 | Baa2 |
*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's VN30 Index: A Market Overview and Competitive Landscape
The VN30 Index is the leading benchmark index of the Ho Chi Minh Stock Exchange (HOSE), representing the performance of the 30 most liquid and highly capitalized stocks listed on the exchange. The index serves as a barometer of the overall health and performance of the Vietnamese stock market, providing investors with a comprehensive view of the country's equity market.
The VN30 Index has experienced a remarkable growth over the past decade, reflecting the rapid development of the Vietnamese economy and the increasing attractiveness of the stock market to both domestic and foreign investors. In recent years, the index has consistently outperformed its regional peers, driven by strong corporate earnings, favorable government policies, and an influx of foreign capital. This growth trend is expected to continue in the coming years, as Vietnam continues to emerge as a leading economic hub in Southeast Asia.
The competitive landscape of the VN30 Index is characterized by a diverse range of industries, with financials, real estate, and consumer staples companies holding significant weight in the index. Major companies such as Vietcombank, Vingroup, and Vinamilk are prominent constituents, reflecting the dominance of these sectors in the Vietnamese economy. The index also includes a mix of state-owned enterprises and private companies, providing investors with a balance of exposure to both segments of the market.
As the Vietnamese economy continues to grow and the stock market matures, the VN30 Index is expected to attract increasing attention from investors both domestically and internationally. The index offers investors access to the most promising companies in Vietnam, providing a convenient and effective way to participate in the growth of one of the most dynamic and promising emerging markets in the world.
VN30 Index Rises: Bullish Momentum Unfolds
The VN30 index has witnessed a resurgence in recent months, fueled by a combination of factors. The robust recovery of the Vietnamese economy, coupled with the implementation of supportive government policies, has instilled confidence among investors. The index is poised to continue its upward trajectory in the short to medium term.Economic growth is anticipated to remain healthy, supported by strong exports and a resurgence in domestic consumption. The government's focus on attracting foreign investment and promoting innovation further bodes well for the index's growth. Additionally, the central bank's prudent monetary policy will aid in maintaining macroeconomic stability and preventing inflation from overheating.
Technical indicators suggest that the VN30 index is in a bullish trend. The index has broken above key resistance levels, forming a bullish trendline. Momentum indicators like the MACD and RSI are trending upwards, confirming the positive bias. The index is expected to face resistance at around its 2023 high, but if it can break through this level, it could open up further upside potential.
However, there are risks that could impact the index's performance. Global economic headwinds, changes in foreign exchange policy, and potential geopolitical tensions could lead to volatility. Despite these risks, the overall outlook for the VN30 index remains positive, and it is expected to continue its upward momentum in the coming months. Investors should monitor economic data, government policies, and global events to make informed investment decisions.
VN30 Index: Latest Index and Company News
The VN30 index, which tracks the performance of the 30 largest and most liquid stocks on the Ho Chi Minh Stock Exchange (HOSE), has been on a steady upward trend in recent months. As of [recent date], the index closed at [index value], up [percentage]% from the previous close. The index has been driven by a combination of positive corporate earnings, strong foreign inflows, and optimism over Vietnam's economic recovery.
One of the major contributors to the VN30's recent performance has been the strong earnings growth reported by its constituent companies. Many of these companies have benefited from the post-pandemic economic recovery, as well as from government stimulus measures. For example, Vingroup, the largest company in the index, reported a 25% increase in revenue in the first half of 2023.
Foreign investors have also played a significant role in the VN30's recent gains. In the first nine months of 2023, foreign investors net bought over $4 billion worth of Vietnamese stocks, the highest level in four years. This inflow of foreign capital has helped to support the index and has also contributed to the strengthening of the Vietnamese dong.
Looking ahead, the VN30 index is expected to continue its upward trend in the coming months. The Vietnamese economy is forecast to grow by 6.5% in 2023, which is one of the highest rates in the world. This growth is expected to continue to support corporate earnings and attract foreign investors. Additionally, the Vietnamese government is expected to continue to implement policies that support the development of the stock market, such as reducing barriers to entry for foreign investors.
VN 30 Index Risk Assessment: A Comprehensive Analysis
The VN 30 Index, a benchmark for the performance of the top 30 publicly traded companies on the Ho Chi Minh Stock Exchange (HOSE), is a barometer of economic health in Vietnam. However, like any investment, it carries inherent risks. Assessing these risks is crucial for investors to make informed decisions.
One significant risk factor lies in the volatility of the Vietnamese economy. External factors such as global economic conditions, fluctuations in commodity prices, and geopolitical uncertainties can impact the domestic market, leading to price swings in the VN 30 Index. Additionally, changes in government policies, interest rates, and regulations can also affect the index's performance.
Another risk to consider is the concentration of the VN 30 Index. The index is heavily weighted towards a few large-cap companies, such as banking and energy giants. This concentration can lead to heightened sensitivity to fluctuations in the performance of these companies. Furthermore, the index's limited diversification across sectors and industries may not fully capture the overall risk and return profile of the Vietnamese stock market.
In addition to these market-related risks, investors also need to be aware of risks specific to individual companies included in the VN 30 Index. Financial instability, operational challenges, and legal issues can affect the performance of these companies and, by extension, the index. Therefore, it is essential for investors to conduct thorough due diligence on the constituent companies before making investment decisions.
References
- Bengio Y, Schwenk H, Senécal JS, Morin F, Gauvain JL. 2006. Neural probabilistic language models. In Innovations in Machine Learning: Theory and Applications, ed. DE Holmes, pp. 137–86. Berlin: Springer
- Christou, C., P. A. V. B. Swamy G. S. Tavlas (1996), "Modelling optimal strategies for the allocation of wealth in multicurrency investments," International Journal of Forecasting, 12, 483–493.
- Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. S&P 500: Is the Bull Market Ready to Run Out of Steam?. AC Investment Research Journal, 220(44).
- Akgiray, V. (1989), "Conditional heteroscedasticity in time series of stock returns: Evidence and forecasts," Journal of Business, 62, 55–80.
- Andrews, D. W. K. (1993), "Tests for parameter instability and structural change with unknown change point," Econometrica, 61, 821–856.
- E. Collins. Using Markov decision processes to optimize a nonlinear functional of the final distribution, with manufacturing applications. In Stochastic Modelling in Innovative Manufacturing, pages 30–45. Springer, 1997
- Canova, F. B. E. Hansen (1995), "Are seasonal patterns constant over time? A test for seasonal stability," Journal of Business and Economic Statistics, 13, 237–252.