JBS stock forecast sees potential shift ahead.

Outlook: JBS is assigned short-term B2 & long-term B1 estimated rating.
AUC Score : What is AUC Score?
Short-term Tactic1 :
Dominant Strategy :
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (Financial Sentiment Analysis)
Hypothesis Testing : Sign Test
Surveillance : Major exchange and OTC

1Short-term revised.

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


Key Points

JBS's stock is poised for a period of potential appreciation driven by anticipated improvements in global protein demand and its diversified operational footprint across various segments. However, this upward trajectory carries inherent risks, including potential volatility in commodity prices, geopolitical instability impacting supply chains, and evolving regulatory landscapes that could affect profitability and market access. Furthermore, competitive pressures within the meat processing industry may temper gains, requiring continuous innovation and cost management.

About JBS

JBS NV, a leading global food company, operates as a significant player in the protein industry. The company's primary focus lies in the production and processing of a wide range of food products, with a particular emphasis on beef, pork, and poultry. JBS NV has established a vast operational network that spans multiple continents, enabling it to serve diverse markets and meet the growing global demand for protein. Its business model is characterized by vertical integration, controlling various stages of the supply chain from sourcing raw materials to delivering finished products to consumers. This comprehensive approach allows JBS NV to maintain quality control and operational efficiency across its extensive operations.


The company's Class A Common Shares represent ownership in JBS NV, granting shareholders voting rights and a claim on the company's earnings. JBS NV's commitment to sustainability and responsible business practices is an integral part of its corporate strategy. The company actively engages in initiatives aimed at environmental stewardship, animal welfare, and social responsibility. Through its global presence and diverse product portfolio, JBS NV plays a crucial role in the international food supply chain, contributing to food security and economic development in the regions where it operates. Its strategic investments and continuous expansion underscore its position as a major force within the global food sector.

JBS

JBS Class A Common Shares Stock Forecast Model

Our interdisciplinary team of data scientists and economists has developed a sophisticated machine learning model designed to forecast the future performance of JBS N.V. Class A Common Shares. This model leverages a comprehensive suite of macroeconomic indicators, industry-specific data, and relevant company financials to capture the complex interplay of factors influencing stock valuation. Key inputs include global commodity prices, particularly for beef and other agricultural products, as JBS is a major player in these markets. We also incorporate interest rate trends, inflation data, and exchange rate fluctuations, recognizing their significant impact on multinational corporations. Furthermore, the model analyzes demand-side factors such as consumer spending patterns and population growth in key markets. Crucially, we have integrated sentiment analysis derived from news articles and social media concerning JBS and the broader food industry to gauge market perception.


The core of our forecasting model is a hybrid approach, combining time series analysis techniques such as ARIMA and Exponential Smoothing with tree-based machine learning algorithms like Gradient Boosting Machines (GBM) and Random Forests. These algorithms are adept at identifying non-linear relationships and interactions between variables that linear models might miss. We employ rigorous cross-validation and backtesting methodologies to ensure the robustness and predictive accuracy of the model. Feature engineering plays a critical role, where we derive meaningful indicators from raw data, such as moving averages of key economic indicators or volatility measures of commodity prices. The model's architecture is designed to be adaptive, allowing for continuous retraining with new data to maintain its relevance and predictive power in a dynamic market environment.


The output of this model provides a probabilistic forecast for JBS N.V. Class A Common Shares, offering insights into potential future price trajectories and associated uncertainty. While no model can guarantee perfect prediction in the inherently unpredictable stock market, our approach aims to provide a data-driven, analytically sound foundation for investment decisions. We continuously monitor the model's performance and will iteratively refine its parameters and input variables based on evolving market conditions and emerging data sources. This commitment to ongoing improvement ensures that the JBS Class A Common Shares stock forecast model remains a valuable tool for understanding and navigating the complexities of the company's stock performance.


ML Model Testing

F(Sign Test)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 (Financial Sentiment Analysis))3,4,5 X S(n):→ 1 Year i = 1 n a i

n:Time series to forecast

p:Price signals of JBS stock

j:Nash equilibria (Neural Network)

k:Dominated move of JBS stock holders

a:Best response for JBS target price

 

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

How do KappaSignal algorithms actually work?

JBS Stock 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%

JBS Class A Common Shares Financial Outlook

The financial outlook for JBS Class A common shares is shaped by a confluence of factors inherent to the global protein market and the company's operational strategies. JBS, as one of the world's largest food companies, benefits from consistent demand for its core products, particularly beef, poultry, and pork. The inherent inelasticity of food demand provides a foundational stability to its revenue streams. However, the sector is also subject to significant price volatility driven by supply-side dynamics, such as feed costs, disease outbreaks, and weather patterns. JBS's expansive global footprint, while offering diversification and scale, also exposes it to a complex web of international trade policies, currency fluctuations, and regional economic conditions. Analysts will closely monitor the company's ability to manage its cost structures, particularly in the face of rising commodity prices for feed and energy, as well as its success in passing these costs onto consumers through its pricing power.


Forecasting the financial trajectory of JBS involves a detailed examination of its operational efficiency and strategic initiatives. The company has historically focused on vertical integration, controlling various stages of the supply chain from sourcing raw materials to processing and distribution. This integration aims to enhance margins and ensure supply chain resilience. Furthermore, JBS has been actively pursuing diversification beyond traditional protein sources, investing in plant-based alternatives and prepared foods. This strategic pivot is intended to capture emerging consumer trends and mitigate risks associated with the cyclicality of the meat industry. Investor sentiment will likely hinge on JBS's ability to execute these diversification strategies effectively, demonstrating measurable returns on investment. The company's capital allocation decisions, including debt management, share buybacks, and acquisitions, will also be critical indicators of its financial health and future growth prospects.


Several key performance indicators will be crucial for understanding JBS's financial forecast. Gross profit margins will be a primary gauge of its pricing power and cost control effectiveness. Operating margins will reflect its overall operational efficiency and management of overhead expenses. Cash flow from operations is paramount, indicating the company's ability to generate sufficient cash to fund its investments, service its debt, and return capital to shareholders. Debt levels and leverage ratios will remain under scrutiny, given the capital-intensive nature of the industry and JBS's historical acquisition-driven growth strategy. Analysts will also be looking at return on equity and return on invested capital as measures of how effectively the company is utilizing shareholder and debt capital to generate profits.


The prediction for JBS Class A common shares, contingent on present market conditions and strategic execution, leans towards a moderately positive outlook, assuming continued effective management of cost pressures and successful integration of diversification efforts. The primary risks to this prediction include significant and sustained increases in feed and energy costs, which could erode profitability more than anticipated. Unforeseen widespread animal disease outbreaks could severely disrupt supply chains and negatively impact JBS's operational capacity and reputation. Additionally, an economic downturn leading to reduced consumer spending on protein, particularly higher-priced items, poses a substantial risk. Geopolitical instability and protectionist trade policies could also hinder JBS's global operations and profitability.



Rating Short-Term Long-Term Senior
OutlookB2B1
Income StatementB2Ba2
Balance SheetCCaa2
Leverage RatiosCB2
Cash FlowBaa2Caa2
Rates of Return and ProfitabilityB1Baa2

*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?

References

  1. Bessler, D. A. R. A. Babula, (1987), "Forecasting wheat exports: Do exchange rates matter?" Journal of Business and Economic Statistics, 5, 397–406.
  2. Ashley, R. (1988), "On the relative worth of recent macroeconomic forecasts," International Journal of Forecasting, 4, 363–376.
  3. Angrist JD, Pischke JS. 2008. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton, NJ: Princeton Univ. Press
  4. Batchelor, R. P. Dua (1993), "Survey vs ARCH measures of inflation uncertainty," Oxford Bulletin of Economics Statistics, 55, 341–353.
  5. Bennett J, Lanning S. 2007. The Netflix prize. In Proceedings of KDD Cup and Workshop 2007, p. 35. New York: ACM
  6. 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
  7. Nie X, Wager S. 2019. Quasi-oracle estimation of heterogeneous treatment effects. arXiv:1712.04912 [stat.ML]

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