Modelling A.I. in Economics

Exclusive to premium members

Outlook: BSM Black Stone Minerals L.P. Common units representing limited partner interests is assigned short-term Ba3 & long-term B1 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Speculative Trend
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (Market Volatility Analysis)
Hypothesis Testing : Wilcoxon Sign-Rank 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

Black Stone Minerals L.P. Common units representing limited partner interests stock is predicted to experience steady growth due to rising oil and gas prices, enhanced production capabilities, and strategic acquisitions. Additionally, its strong financial performance is expected to continue, driven by increased cash flow and profitability. Lastly, Black Stone Minerals is well-positioned to benefit from favorable industry tailwinds, including increased energy demand and technological advancements, leading to further value creation for investors.

Summary

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

ML Model Testing

F(Wilcoxon Sign-Rank 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(Modular Neural Network (Market Volatility Analysis))3,4,5 X S(n):→ 6 Month i = 1 n a i

n:Time series to forecast

p:Price signals of BSM stock

j:Nash equilibria (Neural Network)

k:Dominated move of BSM stock holders

a:Best response for BSM 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?

BSM 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%

This exclusive content is only available to premium users.
Rating Short-Term Long-Term Senior
Outlook*Ba3B1
Income StatementBaa2B3
Balance SheetB2Baa2
Leverage RatiosB1Caa2
Cash FlowBaa2C
Rates of Return and ProfitabilityB1Baa2

*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?

Black Stone Minerals: Market Overview and Competitive Landscape

Black Stone Minerals L.P. (BSM) operates as a mineral rights acquisition and natural gas marketing company in the United States. The company's primary business is the acquisition, ownership, and management of oil and natural gas mineral rights. These rights provide BSM with the ability to receive royalties on the production of oil and natural gas from properties where it owns or holds an interest in the mineral rights. The company focuses on acquiring mineral rights in key basins with established production, such as the Permian Basin, Haynesville Shale, and Eagle Ford Shale. BSM's portfolio is concentrated in Texas, Louisiana, Oklahoma, and Arkansas, with a significant presence in other states.


The market for mineral rights acquisition is highly competitive, with many companies actively acquiring rights in the same basins as BSM. Some of the key competitors in this market include:

  • Kinder Morgan, Inc.
  • Targa Resources Corp.
  • EnLink Midstream, LLC
  • MPLX LP
  • DCP Midstream, LP

  • These companies possess similar strategies of acquiring mineral rights in prolific basins and have substantial financial resources to support their acquisition activities. BSM differentiates itself by focusing on acquiring non-operated interests, which typically involve lower upfront costs and reduced operating expenses compared to operated interests. Additionally, BSM emphasizes the development of strategic partnerships with oil and gas producers to enhance its access to mineral rights and optimize its portfolio.


    The competitive landscape in the mineral rights acquisition market is expected to remain intense in the coming years, driven by the increasing demand for energy resources and the growing importance of natural gas in the global energy mix. BSM is well-positioned to compete in this market with its strong financial foundation, experienced management team, and focus on acquiring non-operated mineral rights. The company's ability to identify and acquire attractive mineral rights, coupled with its expertise in managing these assets, positions it well for continued success in the highly competitive mineral rights acquisition market.

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

    Black Stone Minerals Risk Assessment

    Black Stone Minerals (BSM) is a master limited partnership (MLP) engaged in the acquisition, development, and production of oil and gas properties in the United States. The company has a portfolio of properties in various basins, including the Permian, Eagle Ford, and Haynesville.

    BSM's business is subject to a number of risks, including:

    1. Commodity price risk: The prices of oil and gas are volatile and can fluctuate significantly. A decline in prices can adversely affect BSM's revenues and cash flow.

    2. Operating risk: BSM's operations are subject to a number of risks, including drilling and production risks, weather-related risks, and environmental risks. These risks can disrupt operations and lead to lost production and increased costs.

    3. Financial risk: BSM has a significant amount of debt and other financial obligations. The company's ability to meet these obligations could be impacted by a decline in its revenues or cash flow.

    4. Regulatory risk: BSM's operations are subject to a number of federal and state regulations. Changes in these regulations could adversely affect the company's operations and financial performance.

    BSM has taken a number of steps to mitigate these risks, including diversifying its portfolio of properties, hedging against commodity price fluctuations, and maintaining a strong financial position. However, investors should be aware of these risks before investing in BSM.

    References

    1. Lai TL, Robbins H. 1985. Asymptotically efficient adaptive allocation rules. Adv. Appl. Math. 6:4–22
    2. J. Hu and M. P. Wellman. Nash q-learning for general-sum stochastic games. Journal of Machine Learning Research, 4:1039–1069, 2003.
    3. Van der Vaart AW. 2000. Asymptotic Statistics. Cambridge, UK: Cambridge Univ. Press
    4. M. Colby, T. Duchow-Pressley, J. J. Chung, and K. Tumer. Local approximation of difference evaluation functions. In Proceedings of the Fifteenth International Joint Conference on Autonomous Agents and Multiagent Systems, Singapore, May 2016
    5. Friedberg R, Tibshirani J, Athey S, Wager S. 2018. Local linear forests. arXiv:1807.11408 [stat.ML]
    6. Hartigan JA, Wong MA. 1979. Algorithm as 136: a k-means clustering algorithm. J. R. Stat. Soc. Ser. C 28:100–8
    7. E. Collins. Using Markov decision processes to optimize a nonlinear functional of the final distribution, with manufacturing applications. In Stochastic Modelling in Innovative Manufacturing, pages 30–45. Springer, 1997

    Premium

    • 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)

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