Outlook: Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg is assigned short-term Ba1 & long-term Ba1 estimated rating.
Time series to forecast n: 16 Feb 2023 for (n+16 weeks)
Methodology : Modular Neural Network (News Feed Sentiment Analysis)

## Abstract

Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg prediction model is evaluated with Modular Neural Network (News Feed Sentiment Analysis) and Beta1,2,3,4 and it is concluded that the GS^D stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period, the dominant strategy among neural network is: Buy

## Key Points

1. Can neural networks predict stock market?
2. What are the most successful trading algorithms?
3. Short/Long Term Stocks

## GS^D Target Price Prediction Modeling Methodology

We consider Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg Decision Process with Modular Neural Network (News Feed Sentiment Analysis) where A is the set of discrete actions of GS^D 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(Beta)5,6,7= $\begin{array}{cccc}{p}_{a1}& {p}_{a2}& \dots & {p}_{1n}\\ & ⋮\\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & ⋮\\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & ⋮\\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Modular Neural Network (News Feed Sentiment Analysis)) X S(n):→ (n+16 weeks) $\begin{array}{l}\int {e}^{x}\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of GS^D 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?

## GS^D Stock Forecast (Buy or Sell) for (n+16 weeks)

Sample Set: Neural Network
Stock/Index: GS^D Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg
Time series to forecast n: 16 Feb 2023 for (n+16 weeks)

According to price forecasts for (n+16 weeks) period, the dominant strategy among neural network is: Buy

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 Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg

1. An equity method investment cannot be a hedged item in a fair value hedge. This is because the equity method recognises in profit or loss the investor's share of the investee's profit or loss, instead of changes in the investment's fair value. For a similar reason, an investment in a consolidated subsidiary cannot be a hedged item in a fair value hedge. This is because consolidation recognises in profit or loss the subsidiary's profit or loss, instead of changes in the investment's fair value. A hedge of a net investment in a foreign operation is different because it is a hedge of the foreign currency exposure, not a fair value hedge of the change in the value of the investment.
2. If a financial instrument that was previously recognised as a financial asset is measured at fair value through profit or loss and its fair value decreases below zero, it is a financial liability measured in accordance with paragraph 4.2.1. However, hybrid contracts with hosts that are assets within the scope of this Standard are always measured in accordance with paragraph 4.3.2.
3. Expected credit losses shall be discounted to the reporting date, not to the expected default or some other date, using the effective interest rate determined at initial recognition or an approximation thereof. If a financial instrument has a variable interest rate, expected credit losses shall be discounted using the current effective interest rate determined in accordance with paragraph B5.4.5.
4. A single hedging instrument may be designated as a hedging instrument of more than one type of risk, provided that there is a specific designation of the hedging instrument and of the different risk positions as hedged items. Those hedged items can be in different hedging relationships.

*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

Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg is assigned short-term Ba1 & long-term Ba1 estimated rating. Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg prediction model is evaluated with Modular Neural Network (News Feed Sentiment Analysis) and Beta1,2,3,4 and it is concluded that the GS^D stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period, the dominant strategy among neural network is: Buy

### GS^D Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba1Ba1
Income StatementBa2C
Balance SheetBaa2B2
Leverage RatiosBaa2Caa2
Cash FlowBaa2Ba3
Rates of Return and ProfitabilityBa1C

*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

Trust metric by Neural Network: 74 out of 100 with 655 signals.

## References

1. Wu X, Kumar V, Quinlan JR, Ghosh J, Yang Q, et al. 2008. Top 10 algorithms in data mining. Knowl. Inform. Syst. 14:1–37
2. Bierens HJ. 1987. Kernel estimators of regression functions. In Advances in Econometrics: Fifth World Congress, Vol. 1, ed. TF Bewley, pp. 99–144. Cambridge, UK: Cambridge Univ. Press
3. Batchelor, R. P. Dua (1993), "Survey vs ARCH measures of inflation uncertainty," Oxford Bulletin of Economics Statistics, 55, 341–353.
4. Dietterich TG. 2000. Ensemble methods in machine learning. In Multiple Classifier Systems: First International Workshop, Cagliari, Italy, June 21–23, pp. 1–15. Berlin: Springer
5. A. Tamar, Y. Glassner, and S. Mannor. Policy gradients beyond expectations: Conditional value-at-risk. In AAAI, 2015
6. Athey S. 2017. Beyond prediction: using big data for policy problems. Science 355:483–85
7. Ashley, R. (1988), "On the relative worth of recent macroeconomic forecasts," International Journal of Forecasting, 4, 363–376.
Frequently Asked QuestionsQ: What is the prediction methodology for GS^D stock?
A: GS^D stock prediction methodology: We evaluate the prediction models Modular Neural Network (News Feed Sentiment Analysis) and Beta
Q: Is GS^D stock a buy or sell?
A: The dominant strategy among neural network is to Buy GS^D Stock.
Q: Is Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg stock a good investment?
A: The consensus rating for Goldman Sachs Group Inc. (The) Dep Shs repstg 1/1000 Pfd Ser D Fltg is Buy and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of GS^D stock?
A: The consensus rating for GS^D is Buy.
Q: What is the prediction period for GS^D stock?
A: The prediction period for GS^D is (n+16 weeks)