TR/CC CRB Lean Hogs index forecast shows shifting trends.

Outlook: TR/CC CRB Lean Hogs index is assigned short-term B3 & long-term B1 estimated rating.
AUC Score : What is AUC Score?
Short-term Tactic1 :
Dominant Strategy :
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (CNN Layer)
Hypothesis Testing : Ridge Regression
Surveillance : Major exchange and OTC

1Short-term revised.

2Time series is updated based on short-term trends.


Key Points

TR/CC CRB Lean Hogs Index is poised for a significant upward trajectory driven by tightening global supplies and robust consumer demand for pork products. However, this optimistic outlook is not without its challenges. Potential headwinds include the unpredictable nature of disease outbreaks within hog populations, which could disrupt supply chains and pressure prices lower. Furthermore, shifts in international trade policies and tariffs pose a substantial risk, capable of altering export market dynamics and impacting overall price stability. The specter of an economic downturn could also dampen consumer spending, leading to reduced demand and a subsequent price correction.

About TR/CC CRB Lean Hogs Index

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TR/CC CRB Lean Hogs
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ML Model Testing

F(Ridge 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 (CNN Layer))3,4,5 X S(n):→ 3 Month i = 1 n a i

n:Time series to forecast

p:Price signals of TR/CC CRB Lean Hogs index

j:Nash equilibria (Neural Network)

k:Dominated move of TR/CC CRB Lean Hogs index holders

a:Best response for TR/CC CRB Lean Hogs target price

 

For further technical information as per how our model work we invite you to visit the article below: 

How do KappaSignal algorithms actually work?

TR/CC CRB Lean Hogs Index Forecast 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
OutlookB3B1
Income StatementBaa2C
Balance SheetB3Ba3
Leverage RatiosCaa2Caa2
Cash FlowCB2
Rates of Return and ProfitabilityCaa2Baa2

*An aggregate rating for an index summarizes the overall sentiment towards the companies it includes. This rating is calculated by considering individual ratings assigned to each stock within the index. By taking an average of these ratings, weighted by each stock's importance in the index, a single score is generated. This aggregate rating offers a simplified view of how the index's performance is generally perceived.
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References

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  6. Bessler, D. A. S. W. Fuller (1993), "Cointegration between U.S. wheat markets," Journal of Regional Science, 33, 481–501.
  7. Künzel S, Sekhon J, Bickel P, Yu B. 2017. Meta-learners for estimating heterogeneous treatment effects using machine learning. arXiv:1706.03461 [math.ST]

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