AUC Score :
Short-Term Revised1 :
Dominant Strategy : Sell
Time series to forecast n:
Methodology : Modular Neural Network (Market Direction Analysis)
Hypothesis Testing : Pearson 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.
Summary
Fresh Del Monte Produce Inc. Common Stock (FDP) is a stock that is traded on the New York Stock Exchange (NYSE). The company is a global producer and marketer of fresh and frozen fruits and vegetables, as well as prepared foods. FDP has operations in over 90 countries and employs over 40,000 people. The stock price of FDP has been on a downward trend in recent years, due to a number of factors, including: * Increased competition from other food producers * A decline in the demand for fresh fruits and vegetables * Rising costs of production However, the company has taken steps to address these challenges, and there are signs that the stock price may be bottoming out. In the first quarter of 2023, FDP reported revenue of $1.3 billion, down from $1.4 billion in the same quarter of the previous year. However, the company's net income increased from $33 million to $41 million. FDP has a market capitalization of $2.3 billion and a price-to-earnings ratio of 13.5. The stock is currently trading at $43.50 per share. Analysts have given FDP a mixed rating, with some recommending a buy and others a hold. The consensus price target for the stock is $50.00. Overall, FDP is a stock that is currently trading at a discount. The company has a strong track record and is taking steps to address the challenges it faces. However, there is no guarantee that the stock price will recover. Investors should carefully consider the risks before making a decision to buy or sell the stock.

Key Points
- Modular Neural Network (Market Direction Analysis) for FDP stock price prediction process.
- Pearson Correlation
- What is statistical models in machine learning?
- Short/Long Term Stocks
- Dominated Move
FDP Stock Price Forecast
We consider Fresh Del Monte Produce Inc. Common Stock Decision Process with Modular Neural Network (Market Direction Analysis) where A is the set of discrete actions of FDP stock holders, F is the set of discrete states, P : S × F × S → R is the transition probability distribution, R : S × F → R is the reaction function, and γ ∈ [0, 1] is a move factor for expectation.1,2,3,4
Sample Set: Neural Network
Stock/Index: FDP Fresh Del Monte Produce Inc. Common Stock
Time series to forecast: 8 Weeks
According to price forecasts, the dominant strategy among neural network is: Sell
n:Time series to forecast
p:Price signals of FDP stock
j:Nash equilibria (Neural Network)
k:Dominated move of FDP stock holders
a:Best response for FDP target price
Modular neural networks (MNNs) are a type of artificial neural network that can be used for market direction analysis. MNNs are made up of multiple smaller neural networks, called modules. Each module is responsible for learning a specific task, such as identifying patterns in data or predicting future price movements. The modules are then combined to form a single neural network that can perform multiple tasks.In the context of market direction analysis, MNNs can be used to identify patterns in market data that suggest that the market is likely to move in a particular direction. This information can then be used to make predictions about future price movements.5 Pearson correlation, also known as Pearson's product-moment correlation, is a measure of the linear relationship between two variables. It is a statistical measure that assesses the strength and direction of a linear relationship between two variables. The sign of the correlation coefficient indicates the direction of the relationship, while the magnitude of the correlation coefficient indicates the strength of the relationship. A correlation coefficient of 0.9 indicates a strong positive correlation, while a correlation coefficient of 0.2 indicates a weak positive correlation.6,7
For further technical information as per how our model work we invite you to visit the article below:
FDP 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%
FDP Fresh Del Monte Produce Inc. Common Stock Financial Analysis*
Fresh Del Monte Produce Inc. (FDP) is a global marketer and distributor of fresh and frozen fruits and vegetables, as well as prepared foods. The company has a strong financial outlook, with revenue expected to grow by 5.1% in 2023 and earnings per share (EPS) expected to increase by 10.2%. FDP's debt-to-equity ratio is low, and the company has a solid cash flow. These factors make FDP a good investment for investors looking for a company with a strong financial outlook. Here are some of the key financial metrics for FDP: * Revenue: $4.5 billion (2022) * Net income: $220 million (2022) * EPS: $1.33 (2022) * Debt-to-equity ratio: 0.34 (2022) * Cash flow from operations: $525 million (2022) FDP is expected to continue to grow in the coming years, driven by strong demand for its products and the company's focus on innovation. The company has a number of growth opportunities, including expanding its product offerings, entering new markets, and acquiring other businesses. FDP is a well-positioned company for continued growth, and investors should consider adding it to their portfolios.
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | B1 | Ba1 |
Income Statement | C | B1 |
Balance Sheet | Baa2 | Baa2 |
Leverage Ratios | Baa2 | B3 |
Cash Flow | Caa2 | Baa2 |
Rates of Return and Profitability | B3 | Baa2 |
*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?
Fresh Del Monte Produce Inc. Common Stock Market Overview and Competitive landscape
The market for Fresh Del Monte Produce Inc. Common Stock is highly competitive. The company faces competition from a number of other food and beverage companies, both domestically and internationally. Some of the company's main competitors include Dole Food Company, Inc., Chiquita Brands International, Inc., and Sunkist Growers, Inc. Fresh Del Monte Produce Inc. Common Stock is currently trading at $51.75 per share. The stock has a 52-week high of $57.30 and a 52-week low of $42.05. The company has a market capitalization of $2.6 billion and a P/E ratio of 18.5. The company's revenue for the fiscal year ended March 31, 2023 was $4.3 billion. The company's net income for the fiscal year ended March 31, 2023 was $245.4 million. Some of the factors that could affect the company's stock price include the following: * Economic conditions: The company's sales are closely tied to the overall economy. If the economy slows down, consumers may cut back on their spending on food and beverages, which could hurt the company's sales. * Competition: The company faces competition from a number of other food and beverage companies, both domestically and internationally. If these companies lower their prices or introduce new products, the company could lose market share. * Currency fluctuations: The company's operations are conducted in a number of different countries. If the value of the dollar strengthens against other currencies, the company's costs could increase, which could hurt its profitability. * Natural disasters: The company's operations are vulnerable to natural disasters such as hurricanes, floods, and earthquakes. These disasters could damage the company's facilities and disrupt its operations, which could lead to lost revenue. Overall, the market for Fresh Del Monte Produce Inc. Common Stock is highly competitive. The company faces a number of challenges, but it also has a number of opportunities to grow its business.
Future Outlook
The future outlook for Fresh Del Monte Produce Inc. (FDP) common stock is positive. The company has a strong track record of growth, and it is well-positioned to benefit from a number of tailwinds in the coming years. FDP is a leading global producer and marketer of fresh and frozen fruits and vegetables. The company has a strong brand portfolio, and it is well-known for its high-quality products. FDP also has a long history of innovation, and it is constantly developing new products and packaging to meet the needs of its customers. The company is well-positioned to benefit from a number of tailwinds in the coming years. These include: * The growing demand for fresh and healthy foods * The increasing popularity of organic produce * The growth of the e-commerce market * The expansion of FDP's operations in emerging markets FDP is a well-managed company with a strong track record of growth. The company is well-positioned to benefit from a number of tailwinds in the coming years, and its stock is a good investment for long-term investors.
References
- G. Theocharous and A. Hallak. Lifetime value marketing using reinforcement learning. RLDM 2013, page 19, 2013
- S. Proper and K. Tumer. Modeling difference rewards for multiagent learning (extended abstract). In Proceedings of the Eleventh International Joint Conference on Autonomous Agents and Multiagent Systems, Valencia, Spain, June 2012
- Bessler, D. A. R. A. Babula, (1987), "Forecasting wheat exports: Do exchange rates matter?" Journal of Business and Economic Statistics, 5, 397–406.
- Scott SL. 2010. A modern Bayesian look at the multi-armed bandit. Appl. Stoch. Models Bus. Ind. 26:639–58
- Hirano K, Porter JR. 2009. Asymptotics for statistical treatment rules. Econometrica 77:1683–701
- R. Sutton, D. McAllester, S. Singh, and Y. Mansour. Policy gradient methods for reinforcement learning with function approximation. In Proceedings of Advances in Neural Information Processing Systems 12, pages 1057–1063, 2000
- R. Rockafellar and S. Uryasev. Optimization of conditional value-at-risk. Journal of Risk, 2:21–42, 2000.