AUC Score :
Short-Term Revised1 :
Dominant Strategy : Buy
Time series to forecast n:
Methodology : Statistical Inference (ML)
Hypothesis Testing : Logistic 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.
Summary
Comstock Holding Companies Inc. Class A Common Stock prediction model is evaluated with Statistical Inference (ML) and Logistic Regression1,2,3,4 and it is concluded that the CHCI stock is predictable in the short/long term. Statistical inference is a process of drawing conclusions about a population based on data from a sample of that population. In machine learning (ML), statistical inference is used to make predictions about new data based on data that has already been seen. According to price forecasts for 1 Year period, the dominant strategy among neural network is: Buy
Key Points
- Fundemental Analysis with Algorithmic Trading
- Technical Analysis with Algorithmic Trading
- What is the best way to predict stock prices?
CHCI Target Price Prediction Modeling Methodology
We consider Comstock Holding Companies Inc. Class A Common Stock Decision Process with Statistical Inference (ML) where A is the set of discrete actions of CHCI 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= X R(Statistical Inference (ML)) X S(n):→ 1 Year
n:Time series to forecast
p:Price signals of CHCI stock
j:Nash equilibria (Neural Network)
k:Dominated move
a:Best response for target price
Statistical Inference (ML)
Statistical inference is a process of drawing conclusions about a population based on data from a sample of that population. In machine learning (ML), statistical inference is used to make predictions about new data based on data that has already been seen.Logistic Regression
In statistics, logistic regression is a type of regression analysis used when the dependent variable is categorical. Logistic regression is a probability model that predicts the probability of an event occurring based on a set of independent variables. In logistic regression, the dependent variable is represented as a binary variable, such as "yes" or "no," "true" or "false," or "sick" or "healthy." The independent variables can be continuous or categorical variables.
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?
CHCI Stock Forecast (Buy or Sell)
Sample Set: Neural NetworkStock/Index: CHCI Comstock Holding Companies Inc. Class A Common Stock
Time series to forecast: 1 Year
According to price forecasts, the dominant strategy among neural network is: Buy
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%
Financial Data Adjustments for Statistical Inference (ML) based CHCI Stock Prediction Model
- At the date of initial application, an entity shall assess whether a financial asset meets the condition in paragraphs 4.1.2(a) or 4.1.2A(a) on the basis of the facts and circumstances that exist at that date. The resulting classification shall be applied retrospectively irrespective of the entity's business model in prior reporting periods.
- For the purpose of applying the requirement in paragraph 6.5.12 in order to determine whether the hedged future cash flows are expected to occur, an entity shall assume that the interest rate benchmark on which the hedged cash flows (contractually or non-contractually specified) are based is not altered as a result of interest rate benchmark reform.
- For purchased or originated credit-impaired financial assets, expected credit losses shall be discounted using the credit-adjusted effective interest rate determined at initial recognition.
- 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.
CHCI Comstock Holding Companies Inc. Class A Common Stock Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Baa2 | B1 |
Income Statement | Ba3 | Baa2 |
Balance Sheet | Baa2 | C |
Leverage Ratios | Ba1 | Caa2 |
Cash Flow | Ba2 | B3 |
Rates of Return and Profitability | Baa2 | 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?
Conclusions
Comstock Holding Companies Inc. Class A Common Stock is assigned short-term Baa2 & long-term B1 estimated rating. Comstock Holding Companies Inc. Class A Common Stock prediction model is evaluated with Statistical Inference (ML) and Logistic Regression1,2,3,4 and it is concluded that the CHCI stock is predictable in the short/long term. According to price forecasts for 1 Year period, the dominant strategy among neural network is: Buy
Prediction Confidence Score
References
- T. Morimura, M. Sugiyama, M. Kashima, H. Hachiya, and T. Tanaka. Nonparametric return distribution ap- proximation for reinforcement learning. In Proceedings of the 27th International Conference on Machine Learning, pages 799–806, 2010
- Belsley, D. A. (1988), "Modelling and forecast reliability," International Journal of Forecasting, 4, 427–447.
- Clements, M. P. D. F. Hendry (1995), "Forecasting in cointegrated systems," Journal of Applied Econometrics, 10, 127–146.
- Burkov A. 2019. The Hundred-Page Machine Learning Book. Quebec City, Can.: Andriy Burkov
- Athey S, Blei D, Donnelly R, Ruiz F. 2017b. Counterfactual inference for consumer choice across many prod- uct categories. AEA Pap. Proc. 108:64–67
- Varian HR. 2014. Big data: new tricks for econometrics. J. Econ. Perspect. 28:3–28
- Belloni A, Chernozhukov V, Hansen C. 2014. High-dimensional methods and inference on structural and treatment effects. J. Econ. Perspect. 28:29–50
Frequently Asked Questions
Q: What is the prediction methodology for CHCI stock?A: CHCI stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Logistic Regression
Q: Is CHCI stock a buy or sell?
A: The dominant strategy among neural network is to Buy CHCI Stock.
Q: Is Comstock Holding Companies Inc. Class A Common Stock stock a good investment?
A: The consensus rating for Comstock Holding Companies Inc. Class A Common Stock is Buy and is assigned short-term Baa2 & long-term B1 estimated rating.
Q: What is the consensus rating of CHCI stock?
A: The consensus rating for CHCI is Buy.
Q: What is the prediction period for CHCI stock?
A: The prediction period for CHCI is 1 Year