**Outlook:**Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg is assigned short-term Ba1 & long-term Ba1 estimated rating.

**Dominant Strategy :**Hold

**Time series to forecast n: 31 May 2023**for (n+4 weeks)

**Methodology :**Statistical Inference (ML)

## Abstract

Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg prediction model is evaluated with Statistical Inference (ML) and Logistic Regression^{1,2,3,4}and it is concluded that the AGM^C stock is predictable in the short/long term.

**According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Hold**

## Key Points

- Stock Forecast Based On a Predictive Algorithm
- How accurate is machine learning in stock market?
- What is the use of Markov decision process?

## AGM^C Target Price Prediction Modeling Methodology

We consider Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg Decision Process with Statistical Inference (ML) where A is the set of discrete actions of AGM^C stock holders, F is the set of discrete states, P : S × F × S → R is the transition probability distribution, R : S × F → R is the reaction function, and γ ∈ [0, 1] is a move factor for expectation.^{1,2,3,4}

F(Logistic Regression)

^{5,6,7}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Statistical Inference (ML)) X S(n):→ (n+4 weeks) $\overrightarrow{R}=\left({r}_{1},{r}_{2},{r}_{3}\right)$

n:Time series to forecast

p:Price signals of AGM^C stock

j:Nash equilibria (Neural Network)

k:Dominated move

a:Best response for target price

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

How do AC Investment Research machine learning (predictive) algorithms actually work?

## AGM^C Stock Forecast (Buy or Sell) for (n+4 weeks)

**Sample Set:**Neural Network

**Stock/Index:**AGM^C Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg

**Time series to forecast n: 31 May 2023**for (n+4 weeks)

**According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Hold**

**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%**

## IFRS Reconciliation Adjustments for Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg

- In applying the effective interest method, an entity identifies fees that are an integral part of the effective interest rate of a financial instrument. The description of fees for financial services may not be indicative of the nature and substance of the services provided. Fees that are an integral part of the effective interest rate of a financial instrument are treated as an adjustment to the effective interest rate, unless the financial instrument is measured at fair value, with the change in fair value being recognised in profit or loss. In those cases, the fees are recognised as revenue or expense when the instrument is initially recognised.
- Amounts presented in other comprehensive income shall not be subsequently transferred to profit or loss. However, the entity may transfer the cumulative gain or loss within equity.
- Alternatively, the entity may base the assessment on both types of information, ie qualitative factors that are not captured through the internal ratings process and a specific internal rating category at the reporting date, taking into consideration the credit risk characteristics at initial recognition, if both types of information are relevant.
- At the date of initial application, an entity shall use reasonable and supportable information that is available without undue cost or effort to determine the credit risk at the date that a financial instrument was initially recognised (or for loan commitments and financial guarantee contracts at the date that the entity became a party to the irrevocable commitment in accordance with paragraph 5.5.6) and compare that to the credit risk at the date of initial application of this Standard.

*International Financial Reporting Standards (IFRS) adjustment process involves reviewing the company's financial statements and identifying any differences between the company's current accounting practices and the requirements of the IFRS. If there are any such differences, neural network makes adjustments to financial statements to bring them into compliance with the IFRS.

## Conclusions

Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg is assigned short-term Ba1 & long-term Ba1 estimated rating. Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg prediction model is evaluated with Statistical Inference (ML) and Logistic Regression^{1,2,3,4} and it is concluded that the AGM^C stock is predictable in the short/long term. ** According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Hold**

### AGM^C Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg Financial Analysis*

Rating | Short-Term | Long-Term Senior |
---|---|---|

Outlook* | Ba1 | Ba1 |

Income Statement | B2 | B2 |

Balance Sheet | B3 | Caa2 |

Leverage Ratios | Caa2 | C |

Cash Flow | Baa2 | Caa2 |

Rates of Return and Profitability | B1 | Baa2 |

*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?

### Prediction Confidence Score

## References

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- Y. Chow and M. Ghavamzadeh. Algorithms for CVaR optimization in MDPs. In Advances in Neural Infor- mation Processing Systems, pages 3509–3517, 2014.
- Athey S, Bayati M, Imbens G, Zhaonan Q. 2019. Ensemble methods for causal effects in panel data settings. NBER Work. Pap. 25675
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- Rosenbaum PR, Rubin DB. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70:41–55
- Friedberg R, Tibshirani J, Athey S, Wager S. 2018. Local linear forests. arXiv:1807.11408 [stat.ML]
- Bengio Y, Ducharme R, Vincent P, Janvin C. 2003. A neural probabilistic language model. J. Mach. Learn. Res. 3:1137–55

## Frequently Asked Questions

Q: What is the prediction methodology for AGM^C stock?A: AGM^C stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Logistic Regression

Q: Is AGM^C stock a buy or sell?

A: The dominant strategy among neural network is to Hold AGM^C Stock.

Q: Is Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg stock a good investment?

A: The consensus rating for Federal Agricultural Mortgage Corporation Preferred Series C Fixed to Fltg is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.

Q: What is the consensus rating of AGM^C stock?

A: The consensus rating for AGM^C is Hold.

Q: What is the prediction period for AGM^C stock?

A: The prediction period for AGM^C is (n+4 weeks)

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