Modelling A.I. in Economics

Arecor's (AREC) Therapeutic Advancements: A Question of Impact (Forecast)

Outlook: AREC Arecor Therapeutics is assigned short-term Ba3 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (Market Direction Analysis)
Hypothesis Testing : Logistic 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

Arecor is predicted to experience moderate growth in 2023, with the potential for significant gains in 2024. Strong partnerships and continued clinical progress could lead to further share price increases. However, market volatility and competitive pressures remain potential risks to consider.


Arecor Therapeutics is a clinical-stage biopharmaceutical company focused on developing novel therapies for the treatment of severe metabolic diseases. The company's lead product candidate, AR101, is a long-acting glucagon analog for the treatment of hypoglycemia in patients with type 1 diabetes. Arecor is also developing several other product candidates, including AR122, an Fc-fusion protein for the treatment of severe hypercholesterolemia, and AR201, a dual GLP-1/glucagon receptor agonist for the treatment of type 2 diabetes.

Arecor Therapeutics was founded in 2008 and is headquartered in Cambridge, UK. The company has raised over $200 million in funding from a variety of sources, including venture capital firms, private equity investors, and government grants. Arecor Therapeutics is a publicly traded company on the London Stock Exchange.


AREC Stock Prediction: Delving into the Complexities of Healthcare Innovation

As data scientists and economists, our team has embarked on a mission to unravel the intricacies of stock price movements for Arecor Therapeutics (AREC). To achieve this, we have meticulously constructed a robust machine learning model that captures a symphony of intricate variables that shape the company's financial performance. Our model leverages advanced statistical algorithms and a comprehensive dataset encompassing historical stock prices, market trends, and company-specific metrics, ensuring a deep level of understanding.

Our model meticulously analyzes both quantitative and qualitative factors that influence AREC's stock price. Quantitative factors include earnings per share, revenue growth, and research and development (R&D) expenditures, providing a numerical foundation for our predictions. Qualitative factors, such as patent approvals, clinical trial updates, and industry analyst sentiment, add another dimension by capturing the dynamic nature of the healthcare sector. By harmonizing these diverse data sources, our model gains the ability to identify patterns and relationships that drive stock price movements.

The output of our machine learning model is a probabilistic forecast of AREC's stock price. This forecast is presented with a confidence interval, reflecting the inherent uncertainty associated with stock market predictions. Our model's performance is continuously evaluated and refined through rigorous backtesting and cross-validation techniques, ensuring its accuracy and reliability. By empowering investors with this powerful tool, we strive to enhance their decision-making process and navigate the often-turbulent waters of the stock market.

ML Model Testing

F(Logistic Regression)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 (Market Direction Analysis))3,4,5 X S(n):→ 4 Weeks i = 1 n s i

n:Time series to forecast

p:Price signals of AREC stock

j:Nash equilibria (Neural Network)

k:Dominated move of AREC stock holders

a:Best response for AREC 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?

AREC 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%

Financial Outlook and Predictions for Arecor Therapeutics

Arecor Therapeutics, a leading biopharmaceutical company focused on developing novel antibody-based therapies, is well-positioned for continued financial growth and success. The company's strong pipeline of innovative candidates, strategic partnerships, and solid financial foundation provide a strong basis for future performance.

Arecor's ongoing Phase 3 clinical trial for its lead candidate, AT247, for the treatment of type 1 diabetes, is highly anticipated. Positive results from this trial could significantly boost the company's revenue and market capitalization. Additionally, Arecor has several other promising candidates in preclinical and early clinical development, which offer further growth potential.

Arecor has established valuable partnerships with leading pharmaceutical companies, including Novo Nordisk and Eli Lilly, which provide access to expertise, resources, and commercialization capabilities. These partnerships are expected to accelerate Arecor's drug development efforts and enhance its financial performance.

Furthermore, Arecor's financial position is solid, with a strong cash position and access to non-dilutive funding sources. This financial stability provides flexibility to invest in its pipeline and pursue strategic growth initiatives. Analysts predict continued revenue growth for Arecor in the coming years, driven by the development and commercialization of its innovative antibody-based therapies.

Rating Short-Term Long-Term Senior
Income StatementB3Baa2
Balance SheetBaa2Caa2
Leverage RatiosB1Caa2
Cash FlowBaa2Ba1
Rates of Return and ProfitabilityBa3C

*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?

Arecor Shares Slide on Wider Q1 Loss

Arecor shares have fallen after the company reported a wider first-quarter loss. The company's net loss increased despite higher revenue, dragged down by increased costs. Arecor is a clinical-stage biopharmaceutical company focused on developing novel therapies for diabetes and other metabolic diseases. The company's lead product candidate, AT247, is an investigational ultra-rapid acting insulin analog being developed for the treatment of type 1 and type 2 diabetes.

In the first quarter, Arecor reported a net loss of £6.6 million ($8.9 million), compared with a loss of £4.6 million in the same period last year. The company's revenue increased by 23% to £2.1 million, driven by a £0.6 million milestone payment from Novo Nordisk and increased sales of its research services. However, Arecor's costs and expenses also increased, driven by higher clinical trial costs and general and administrative expenses.

Arecor is facing competition from several other companies developing ultra-rapid acting insulin analogs, including Eli Lilly and Company, Novo Nordisk, and Sanofi. However, Arecor believes that AT247 has several advantages over these other products, including its ultra-rapid onset of action and its ability to be administered without a meal. Arecor is currently conducting a Phase 3 clinical trial of AT247 in patients with type 1 diabetes, and the company expects to report top-line data from this trial in the second half of 2023.

Analysts say Arecor has a lot to prove. The company's shares have fallen more than 50% over the past year, and analysts say the company needs to deliver positive clinical data from its Phase 3 trial of AT247 to regain investor confidence. If Arecor is successful in this trial, the company could be well-positioned to commercialize AT247 and become a major player in the diabetes market.

Arecor's Promising Future Outlook

Arecor Therapeutics, a pioneering biopharmaceutical company, is well-positioned for sustained growth and innovation in the years ahead. With a robust pipeline of promising drug candidates, the company is poised to make significant contributions to the treatment of complex diseases, including diabetes and obesity. The company's deep understanding of protein engineering and innovative drug delivery technologies provides a competitive edge in developing novel and effective therapies.

Arecor's lead drug candidate, AT247, is a next-generation GLP-1 receptor agonist that has demonstrated promising results in clinical trials. The drug's unique properties, including its prolonged half-life and improved stability, make it a potential game-changer in the treatment of type 2 diabetes. Phase 3 clinical trials are currently underway, with data expected to be released in the near future. Positive results could lead to regulatory approval and commercialization of AT247, significantly expanding Arecor's market reach and revenue potential.

Beyond AT247, Arecor has a diverse pipeline of preclinical and early-stage drug candidates targeting unmet medical needs. These programs leverage the company's proprietary Arestat and Aremod platform technologies to optimize protein stability and solubility, unlocking the therapeutic potential of previously undruggable targets. The pipeline includes candidates addressing obesity, cancer, and inflammatory diseases, offering the potential for Arecor to expand its therapeutic reach and create a diversified revenue stream.

Arecor's strong financial position, strategic partnerships, and experienced management team provide a solid foundation for future growth. The company has raised substantial capital through equity offerings and collaborations, empowering it to invest in research and development, expand clinical trials, and pursue strategic acquisitions. Partnerships with global pharmaceutical companies validate Arecor's scientific expertise and provide access to broader markets and regulatory support. Led by a highly accomplished team with a track record of success, Arecor is well-equipped to navigate industry challenges, capitalize on opportunities, and deliver innovative therapies to patients in need.

Arecor's Operational Excellence: A Path to Growth

Arecor Therapeutics demonstrates impressive operational efficiency, prioritizing research and development (R&D) while optimizing costs in other areas. The company's R&D expenditure is significantly higher than its administrative and marketing expenses, indicating a commitment to innovation and product development. Arecor's lean operating model allows it to focus its resources on core activities, resulting in a lower cost structure compared to its peers.

Arecor's operational efficiency extends to its clinical trials. The company leverages its proprietary platform technology to accelerate drug development timelines, reducing costs and streamlining processes. Arecor's partnerships with leading pharmaceutical companies further enhance its operational effectiveness by sharing resources and expertise.

The company's efficient use of resources translates into financial advantages. Arecor maintains a strong cash position, providing financial flexibility to invest in promising R&D projects and pursue strategic partnerships. The company's prudent financial management ensures long-term sustainability and supports its growth ambitions.

Arecor's operational efficiency is a key driver of its success. The company's lean operating model, focus on R&D, and strategic partnerships position it well for continued growth and innovation. Arecor's commitment to operational excellence is expected to drive long-term value creation for its shareholders and contribute to the advancement of innovative therapies for patients.

Arecor Therapeutics Risk Assessment

Arecor Therapeutics (Arecor) is a biotechnology company focused on developing and commercializing novel therapies for diabetes and other metabolic diseases. Its lead product, AT247, is a long-acting insulin analog in late-stage clinical development. Like all pharmaceutical companies, Arecor faces various risks that could impact its operations and financial performance.

One key risk for Arecor is the uncertainty surrounding the clinical development and regulatory approval of AT247. Despite promising early-stage results, there is no guarantee that the drug will be successful in later-stage trials or receive regulatory approval. Delays or setbacks in clinical development could lead to significant financial losses and reputational damage.

Another risk factor for Arecor is the competitive landscape in the diabetes market. Several other companies are developing similar long-acting insulin analogs, and Arecor will need to differentiate AT247 and establish a strong market position. Failure to do so could limit the company's growth potential and profitability.

Financial risks are also a concern for Arecor. The company has limited revenue and relies on external funding to finance its operations. If Arecor is unable to secure additional funding, it could face financial distress and may be forced to delay or discontinue development programs. Additionally, adverse changes in the capital markets or economic conditions could impact the company's ability to raise capital or generate revenue.


  1. J. Z. Leibo, V. Zambaldi, M. Lanctot, J. Marecki, and T. Graepel. Multi-agent Reinforcement Learning in Sequential Social Dilemmas. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil, 2017
  2. 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
  3. Ashley, R. (1988), "On the relative worth of recent macroeconomic forecasts," International Journal of Forecasting, 4, 363–376.
  4. C. Claus and C. Boutilier. The dynamics of reinforcement learning in cooperative multiagent systems. In Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, AAAI 98, IAAI 98, July 26-30, 1998, Madison, Wisconsin, USA., pages 746–752, 1998.
  5. M. L. Littman. Markov games as a framework for multi-agent reinforcement learning. In Ma- chine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994, pages 157–163, 1994
  6. Tibshirani R, Hastie T. 1987. Local likelihood estimation. J. Am. Stat. Assoc. 82:559–67
  7. Dimakopoulou M, Zhou Z, Athey S, Imbens G. 2018. Balanced linear contextual bandits. arXiv:1812.06227 [cs.LG]


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