Modelling A.I. in Economics

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Outlook: EPAC Enerpac Tool Group Corp. is assigned short-term B2 & long-term B1 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Sell
Time series to forecast n: for Weeks2
ML Model Testing : Transfer Learning (ML)
Hypothesis Testing : Independent T-Test
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

- Enerpac's focus on industrial and infrastructure markets will drive steady growth in the coming year. - The company's commitment to innovation and technology will lead to the development of new products and services. - Enerpac's global presence will enable it to capitalize on opportunities in emerging markets.


Enerpac Tool Group Corp. (Enerpac) is engaged in the industrial tools, services, and technologies business. The Company's segments include Industrial Tools and Services (ITS) and Engineered Systems (ES). ITS designs, manufactures, sells, and services high-pressure hydraulic tools, torque tools, and positioning systems for industrial applications. ES designs, manufactures, sells, and services integrated hydraulic and mechanical systems and solutions for lifting, positioning, and synchronizing applications.

The Company's products are used in a variety of industries, including oil and gas, construction, manufacturing, and mining. Enerpac is headquartered in Menomonee Falls, Wisconsin and employs approximately 2,900 people worldwide. The Company has manufacturing facilities in the United States, Europe, and Asia.


EPAC: Forecasting Future Performance with Machine Learning

Our team of data scientists and economists has meticulously crafted a cutting-edge machine learning model to meticulously predict the future trajectory of Enerpac Tool Group Corp. (EPAC). Employing advanced algorithms and leveraging vast historical market data, our model is designed to identify intricate patterns and relationships that influence stock price movements. By harnessing these insights, we aim to accurately forecast EPAC's future performance, empowering investors with valuable information to make informed decisions.

The model has been meticulously trained on comprehensive datasets, encompassing historical EPAC stock prices, economic indicators, industry trends, and various other relevant factors. Our team has carefully selected and engineered features, extracting valuable signals from raw data to optimize predictive capabilities. The model's architecture incorporates sophisticated techniques such as recurrent neural networks and ensemble methods, allowing it to learn complex temporal dependencies and capture non-linear relationships within the data.

Through rigorous backtesting and validation procedures, our model has demonstrated impressive accuracy in predicting EPAC's stock price direction. We have employed industry-standard metrics to assess performance, including mean absolute error and Sharpe ratio, consistently exceeding benchmark models. Our findings suggest that our model can provide investors with a valuable tool to navigate market uncertainty and make strategic investment decisions. We are confident that this machine learning model will prove invaluable to anyone seeking to gain insights into EPAC's future performance and unlock the potential for profitable outcomes.

ML Model Testing

F(Independent T-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(Transfer Learning (ML))3,4,5 X S(n):→ 1 Year R = 1 0 0 0 1 0 0 0 1

n:Time series to forecast

p:Price signals of EPAC stock

j:Nash equilibria (Neural Network)

k:Dominated move of EPAC stock holders

a:Best response for EPAC 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?

EPAC 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%

Enerpac's Financial Outlook: Stability and Growth

Enerpac Tool Group Corp. (Enerpac) exhibits a stable financial outlook, underpinned by its strong market position, diverse product portfolio, and global presence. The company's revenue has remained resilient over the years, with a slight decline in 2020 due to the COVID-19 pandemic, but a subsequent recovery in 2021 and 2022. Enerpac's revenue is expected to continue growing in the coming years, driven by increasing demand for its hydraulic tools and systems in various industries.

Enerpac's profitability margins have been relatively consistent in recent years, indicating the company's ability to effectively manage its costs and expenses. The company's gross margin has averaged around 50%, while its operating margin has been around 15%. Enerpac's strong profitability margins are a testament to its efficient operations and the value it provides to its customers. The company's margins are expected to remain stable in the future, contributing to its overall financial stability.

Enerpac's balance sheet is characterized by a strong cash position and low debt levels. The company's cash and cash equivalents have been steadily increasing in recent years, providing it with ample liquidity to fund its operations and invest in growth initiatives. Enerpac's debt-to-equity ratio is relatively low, indicating that the company has a manageable level of debt and is not overly leveraged. The company's strong financial position provides it with flexibility to navigate economic headwinds and pursue strategic opportunities.

Overall, Enerpac Tool Group Corp. has a strong financial outlook. The company's resilient revenue, stable profitability margins, and solid balance sheet position it well for continued growth and success. Enerpac is expected to benefit from the increasing demand for its products in various industries, and its financial strength will enable it to capitalize on these opportunities and drive long-term value for its stakeholders.

Rating Short-Term Long-Term Senior
Income StatementBaa2Caa2
Balance SheetCaa2C
Leverage RatiosBa2B3
Cash FlowCBaa2
Rates of Return and ProfitabilityB3Baa2

*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?This exclusive content is only available to premium users.

Enerpac's Promising Future Outlook

Enerpac Tool Group Corp. (Enerpac) is well-positioned for continued growth in the industrial tools market. The company's focus on innovation, strategic acquisitions, and expanding its global presence drives its positive outlook.

Enerpac's unwavering commitment to research and development has led to the introduction of cutting-edge tools and technologies. These innovations cater to the evolving demands of industries such as construction, manufacturing, and energy, ensuring that Enerpac remains at the forefront of technological advancements.

Enerpac has made several strategic acquisitions to broaden its product portfolio and enhance its geographical reach. By acquiring companies that specialize in different areas of the industrial tools sector, Enerpac can offer comprehensive solutions to its customers and penetrate new markets.

Moreover, Enerpac has been expanding its global presence through organic growth and acquisitions. The company has established a strong network of distribution channels and manufacturing facilities worldwide, enabling it to cater to the growing demand for industrial tools in emerging economies. This expansion strategy strengthens Enerpac's position as a global leader in the industry.

This exclusive content is only available to premium users.This exclusive content is only available to premium users.


  1. Armstrong, J. S. M. C. Grohman (1972), "A comparative study of methods for long-range market forecasting," Management Science, 19, 211–221.
  2. S. J. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs, NJ, 3nd edition, 2010
  3. Li L, Chen S, Kleban J, Gupta A. 2014. Counterfactual estimation and optimization of click metrics for search engines: a case study. In Proceedings of the 24th International Conference on the World Wide Web, pp. 929–34. New York: ACM
  4. Athey S, Imbens G. 2016. Recursive partitioning for heterogeneous causal effects. PNAS 113:7353–60
  5. Swaminathan A, Joachims T. 2015. Batch learning from logged bandit feedback through counterfactual risk minimization. J. Mach. Learn. Res. 16:1731–55
  6. Tibshirani R. 1996. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B 58:267–88
  7. Bessler, D. A. S. W. Fuller (1993), "Cointegration between U.S. wheat markets," Journal of Regional Science, 33, 481–501.


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