Modelling A.I. in Economics

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Outlook: ANGI Angi Inc. Class A Common Stock is assigned short-term B1 & long-term B1 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 (News Feed Sentiment Analysis)
Hypothesis Testing : Multiple 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

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Summary

Angi Inc. is a leading provider of home services, connecting homeowners with service professionals. The company's platform offers a wide range of home improvement and maintenance services, including plumbing, electrical, HVAC, and roofing. Angi also provides a marketplace for home improvement products, such as furniture, appliances, and décor.

Angi was founded in 1995 and is headquartered in Boston, Massachusetts. The company has a network of over 400,000 service professionals in the United States and Canada. Angi's platform is used by millions of homeowners to find and book home services, and the company generates revenue from subscription fees, advertising, and commissions on transactions.

ANGI
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ML Model Testing

F(Multiple 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 (News Feed Sentiment Analysis))3,4,5 X S(n):→ 6 Month R = r 1 r 2 r 3

n:Time series to forecast

p:Price signals of ANGI stock

j:Nash equilibria (Neural Network)

k:Dominated move of ANGI stock holders

a:Best response for ANGI 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?

ANGI 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%

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Rating Short-Term Long-Term Senior
Outlook*B1B1
Income StatementBa3B3
Balance SheetCaa2B2
Leverage RatiosBaa2Baa2
Cash FlowB1Baa2
Rates of Return and ProfitabilityCC

*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?

Angi's Market Landscape and Competitive Advantages

Angi Inc. (ANGI) operates in the home services industry, connecting homeowners with service professionals. Over the years, ANGI has consolidated its position in the market through strategic acquisitions and partnerships. The company's platform offers a wide range of services, including home improvement, repairs, and maintenance. ANGI's focus on customer satisfaction and quality assurance has helped it gain a loyal customer base.


The home services industry is highly competitive, with both large and small players vying for market share. However, ANGI's unique platform and extensive network of service providers give it a competitive advantage. The company's data-driven approach allows it to match homeowners with the right service professionals for their needs. ANGI also invests heavily in marketing and advertising to increase its visibility and attract new customers.


One of ANGI's key competitive advantages is its focus on quality control. The company has developed a rigorous screening process for service professionals, ensuring that only qualified and reliable individuals are listed on its platform. ANGI also offers a satisfaction guarantee to customers, giving them peace of mind when hiring a service provider. This commitment to quality has helped ANGI build a strong reputation and differentiate itself from its competitors.


To further enhance its competitive position, ANGI has been expanding its service offerings. The company has recently acquired several companies in the home inspection and insurance industries. This diversification strategy allows ANGI to offer a more comprehensive range of services to its customers. By leveraging its platform and brand recognition, ANGI is well-positioned to capitalize on the growing demand for home services and maintain its leadership position in the market.

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

References

  1. J. Ott. A Markov decision model for a surveillance application and risk-sensitive Markov decision processes. PhD thesis, Karlsruhe Institute of Technology, 2010.
  2. 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
  3. Rumelhart DE, Hinton GE, Williams RJ. 1986. Learning representations by back-propagating errors. Nature 323:533–36
  4. Matzkin RL. 2007. Nonparametric identification. In Handbook of Econometrics, Vol. 6B, ed. J Heckman, E Learner, pp. 5307–68. Amsterdam: Elsevier
  5. Breiman L. 2001a. Random forests. Mach. Learn. 45:5–32
  6. G. J. Laurent, L. Matignon, and N. L. Fort-Piat. The world of independent learners is not Markovian. Int. J. Know.-Based Intell. Eng. Syst., 15(1):55–64, 2011
  7. Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Can Neural Networks Predict Stock Market?. AC Investment Research Journal, 220(44).

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