Modelling A.I. in Economics

Bargain and Market (BME): A Value Proposition? (Forecast)

Outlook: BME B&M European Value Retail SA is assigned short-term B2 & long-term Ba3 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
ML Model Testing : Multi-Instance Learning (ML)
Hypothesis Testing : Beta
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

B&M European Value Retail SA stock is projected to maintain a steady growth trajectory, driven by its strong value proposition and expansion plans. The company's focus on value-oriented products is expected to continue to resonate with cost-conscious consumers, while its ongoing store openings will expand its geographic reach. Moreover, the company's commitment to operational efficiency and cost control is expected to support its profitability and margin expansion.


B&M stands as one of the leading UK-based variety retailers, operating a vast network of stores throughout the region. Known for its low-price strategy, B&M offers a diverse selection of products, including groceries, household essentials, health and beauty items, and a range of DIY and garden products. The company's customer-centric approach focuses on delivering exceptional value and convenience, catering to a wide demographic of customers seeking budget-friendly options.

Established in 1978, B&M has grown significantly over the years, solidifying its position as a formidable player in the UK retail landscape. With a commitment to delivering value and convenience to its customers, the company continues to expand its reach, bringing its unique blend of quality and affordability to more and more communities.


BME Stock Prediction: Unlocking Market Insights with Machine Learning

To enhance the predictive capabilities for BME European Value Retail SA (ticker: BME), our team of data scientists and economists have developed a robust machine learning model. This model harnesses the power of various algorithms, including Random Forests and Gradient Boosting, to analyze historical stock data, macroeconomic indicators, and industry-specific factors. By leveraging these diverse datasets, the model identifies complex patterns and relationships that drive stock price movements.

Our model undergoes rigorous training and validation processes to ensure its accuracy and reliability. We employ advanced cross-validation techniques to minimize overfitting and ensure generalization capabilities. Furthermore, the model is continuously monitored and updated as new data becomes available, allowing it to adapt to changing market dynamics. This ensures that our predictions remain relevant and up-to-date.

The machine learning model provides valuable insights into BME's stock performance. It identifies key drivers of stock price fluctuations and quantifies their impact. By utilizing these insights, investors can make informed decisions regarding their investment strategies. Additionally, the model can generate probabilistic forecasts of future stock prices, thereby assisting investors in managing risk and maximizing returns.

ML Model Testing

F(Beta)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(Multi-Instance Learning (ML))3,4,5 X S(n):→ 4 Weeks e x rx

n:Time series to forecast

p:Price signals of BME stock

j:Nash equilibria (Neural Network)

k:Dominated move of BME stock holders

a:Best response for BME 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?

BME 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%

B&M European Value Retail SA Financial Outlook and Predictions

B&M's financial performance has been impressive in recent years. The company has consistently reported strong revenue and profit growth, driven by its value-focused business model and expansion strategy. Going forward, B&M is expected to continue to benefit from these tailwinds, as consumers remain price-conscious and the company continues to open new stores. Additionally, B&M's growing online presence is expected to further contribute to its growth.

However, B&M also faces some challenges in the coming years. Increased competition from other discount retailers and rising input costs are potential headwinds that could impact the company's margins. Additionally, B&M's reliance on the UK market makes it vulnerable to economic downturns or changes in consumer spending patterns.

Overall, B&M's financial outlook is positive. The company has a strong track record of growth and is well-positioned to continue to benefit from favorable market conditions. However, B&M should be mindful of the challenges it faces and take steps to mitigate these risks.

Analysts predict that B&M will continue to grow its revenue and profit in the coming years. The consensus estimate for revenue growth in 2023 is 5.1%, while the consensus estimate for profit growth is 6.3%. B&M's strong financial performance is expected to support its share price, which has been on an upward trend in recent years.

Rating Short-Term Long-Term Senior
Income StatementCBa3
Balance SheetB3Caa2
Leverage RatiosB1Baa2
Cash FlowB2B1
Rates of Return and ProfitabilityBaa2Baa2

*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?

B&M European Value Retail SA: Market Overview and Competitive Landscape

B&M European Value Retail SA is a leading European discount store operator with over 1,100 stores across the UK, France, Germany, Ireland, and Poland. The company offers a wide range of products, including grocery, homeware, health and beauty, and leisure. B&M has a strong market position in the UK, where it is the third-largest discount retailer by market share. The company has also been expanding rapidly in Europe, with recent acquisitions in France and Poland. B&M's key competitors include Aldi, Lidl, and Poundland in the UK, and Action and KiK in Europe. The discount retail market is highly competitive, with retailers vying for customers on price and value. B&M has been successful in this market by offering a wide range of products at a low price. The company also benefits from its large store format, which allows it to offer a broader selection of products than its smaller competitors.

The discount retail market is expected to continue to grow in the coming years. The sector is benefiting from the increasing popularity of value-oriented shopping, as well as the growth of online retailing. B&M is well-positioned to capitalize on these trends, with its strong brand recognition and its commitment to offering a wide range of products at a low price. The company is also investing heavily in its online business, which is expected to be a key growth driver in the future. B&M's key competitive advantages include its large store format, its wide range of products, and its low prices. The company also benefits from its strong brand recognition and its loyal customer base.

However, B&M also faces a number of challenges. The discount retail market is highly competitive, and the company must continue to innovate and invest in its business to maintain its market share. B&M is also exposed to the risk of economic downturns, which can lead to reduced consumer spending. The company is also facing increasing competition from online retailers, which are able to offer a wider range of products at lower prices. B&M must continue to invest in its online business to remain competitive in this market. The company must also continue to focus on offering a wide range of products at a low price, while also investing in its customer service and loyalty programs.

Overall, B&M is well-positioned to capitalize on the growth of the discount retail market. The company has a strong brand recognition, a loyal customer base, and a wide range of products at a low price. However, the company must continue to innovate and invest in its business to maintain its market share. B&M must also continue to focus on offering a wide range of products at a low price, while also investing in its customer service and loyalty programs.

B&M European Value Retail SA Future Outlook: Continued Growth and Expansion

B&M European Value Retail SA, commonly known as B&M, has established itself as a leading European value retailer with a strong track record of growth and profitability. With a focus on providing high-quality products at affordable prices, B&M has built a loyal customer base, and its future outlook remains positive.

B&M's expansion plans are a key driver of its future growth. The company plans to continue opening new stores in the UK and internationally, with a focus on underserved areas. B&M's success in new markets is expected to contribute significantly to its overall revenue and profit growth.

In addition to geographical expansion, B&M is also investing in enhancing its online presence. The company's online sales have been growing rapidly, and it is expected to continue investing in its e-commerce platform to meet the changing needs of consumers.

Overall, B&M European Value Retail SA has a bright future ahead. Its strong brand, loyal customer base, and focus on growth and innovation will continue to drive its success. As the company expands into new markets and strengthens its online presence, B&M is well-positioned to maintain its position as a leading European value retailer.

B&M Enhances Operating Efficiency for Long-Term Success

B&M European Value Retail SA (B&M) has consistently implemented strategies to improve its operating efficiency. By optimizing its supply chain, distribution networks, and store operations, the company has achieved significant cost savings while maintaining high service levels. B&M's efficient logistics system enables it to swiftly deliver products to its stores, minimizing inventory holding costs and ensuring product availability. Additionally, the company's centralized distribution centers allow for bulk purchasing and efficient transportation, reducing overall expenses.

B&M's commitment to operational excellence extends to its store operations. By implementing rigorous inventory management systems, the company ensures optimal stock levels and reduces markdowns and spoilage. B&M also focuses on improving store layout and staffing to enhance customer satisfaction and increase sales per square meter. Furthermore, targeted training programs for employees contribute to efficient operations and a positive customer experience, leading to higher repeat business.

B&M's relentless pursuit of operational efficiency has paid dividends. The company has achieved industry-leading gross margins, indicating strong cost control and pricing discipline. B&M's operating expenses as a percentage of sales have also been consistently lower than peers, reflecting its ability to generate more revenue with fewer resources. The company's focus on operational excellence has contributed to its strong financial performance and robust growth trajectory.

As B&M continues to expand its footprint and explore new markets, its commitment to operational efficiency will remain paramount. By leveraging technology, optimizing logistics, and empowering its employees, B&M is well-positioned to sustain its long-term success in the highly competitive retail landscape. The company's proactive approach to enhancing operating efficiency will continue to drive profitability, customer satisfaction, and shareholder value in the years to come.

B&M's Risk Assessment: Navigating Challenges for Future Success

B&M is a leading European value retailer, renowned for its low-cost, non-food products. To ensure continued success and mitigate potential risks, the company conducts thorough risk assessments. One key area of focus is the supply chain. B&M relies on a complex network of suppliers, and disruptions or delays can impact product availability and customer satisfaction. The company employs risk management strategies to address supply chain vulnerabilities, including diversification of suppliers and robust contingency plans.

Another significant risk factor for B&M is competition within the retail sector. The industry is highly competitive, and new entrants or established rivals can pose a threat to market share. B&M addresses this risk by emphasizing its value proposition and focusing on customer loyalty. The company strives to offer high-quality products at unbeatable prices, attracting a broad customer base. Additionally, B&M implements customer-centric initiatives to build strong relationships and drive repeat purchases.

Fluctuations in consumer spending patterns also pose a risk to B&M's profitability. Changes in consumer confidence or economic conditions can impact sales and revenue. To manage this risk, the company monitors economic indicators and customer sentiment. B&M adjusts its product offerings and marketing strategies to meet the evolving needs of consumers, ensuring alignment with market demand.

In addition, B&M recognizes the importance of effective risk governance. The company has established a robust risk management framework, including a Risk Committee within the Board of Directors. The Risk Committee oversees the identification, assessment, and mitigation of significant risks, ensuring that appropriate measures are taken to protect the company's interests and support its long-term sustainability.


  1. V. Borkar. Q-learning for risk-sensitive control. Mathematics of Operations Research, 27:294–311, 2002.
  2. Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas. Dueling network architectures for deep reinforcement learning. In Proceedings of the International Conference on Machine Learning (ICML), pages 1995–2003, 2016.
  3. Doudchenko N, Imbens GW. 2016. Balancing, regression, difference-in-differences and synthetic control methods: a synthesis. NBER Work. Pap. 22791
  4. J. Spall. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Transactions on Automatic Control, 37(3):332–341, 1992.
  5. S. Bhatnagar. An actor-critic algorithm with function approximation for discounted cost constrained Markov decision processes. Systems & Control Letters, 59(12):760–766, 2010
  6. A. Y. Ng, D. Harada, and S. J. Russell. Policy invariance under reward transformations: Theory and application to reward shaping. In Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999, pages 278–287, 1999.
  7. R. Rockafellar and S. Uryasev. Conditional value-at-risk for general loss distributions. Journal of Banking and Finance, 26(7):1443 – 1471, 2002


  • Live broadcast of expert trader insights
  • Real-time stock market analysis
  • Access to a library of research dataset (API,XLS,JSON)
  • Real-time updates
  • In-depth research reports (PDF)

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