COG Financial Stock Forecast - 20 Period Moving Average

COG Stock   0.92  0.01  1.10%   
The 20 Period Moving Average forecasted value of COG Financial Services on the next trading day is expected to be 0.90 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.44. COG Stock Forecast is based on your current time horizon.
  
At this time, COG Financial's Common Stock Total Equity is comparatively stable compared to the past year. Common Stock Shares Outstanding is likely to gain to about 202.2 M in 2024, despite the fact that Other Assets are likely to grow to (292 M).
A commonly used 20-period moving average forecast model for COG Financial Services is based on a synthetically constructed COG Financialdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

COG Financial 20 Period Moving Average Price Forecast For the 26th of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of COG Financial Services on the next trading day is expected to be 0.90 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.44.
Please note that although there have been many attempts to predict COG Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that COG Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

COG Financial Stock Forecast Pattern

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COG Financial Forecasted Value

In the context of forecasting COG Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. COG Financial's downside and upside margins for the forecasting period are 0.01 and 3.26, respectively. We have considered COG Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.92
0.90
Expected Value
3.26
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of COG Financial stock data series using in forecasting. Note that when a statistical model is used to represent COG Financial stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria76.6252
BiasArithmetic mean of the errors 0.0274
MADMean absolute deviation0.0344
MAPEMean absolute percentage error0.0371
SAESum of the absolute errors1.4445
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. COG Financial Services 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for COG Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as COG Financial Services. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
0.050.923.28
Details
Intrinsic
Valuation
LowRealHigh
0.040.803.16
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.030.030.03
Details

Other Forecasting Options for COG Financial

For every potential investor in COG, whether a beginner or expert, COG Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. COG Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in COG. Basic forecasting techniques help filter out the noise by identifying COG Financial's price trends.

COG Financial Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with COG Financial stock to make a market-neutral strategy. Peer analysis of COG Financial could also be used in its relative valuation, which is a method of valuing COG Financial by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

COG Financial Services Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of COG Financial's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of COG Financial's current price.

COG Financial Market Strength Events

Market strength indicators help investors to evaluate how COG Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading COG Financial shares will generate the highest return on investment. By undertsting and applying COG Financial stock market strength indicators, traders can identify COG Financial Services entry and exit signals to maximize returns.

COG Financial Risk Indicators

The analysis of COG Financial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in COG Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cog stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for COG Stock Analysis

When running COG Financial's price analysis, check to measure COG Financial's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy COG Financial is operating at the current time. Most of COG Financial's value examination focuses on studying past and present price action to predict the probability of COG Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move COG Financial's price. Additionally, you may evaluate how the addition of COG Financial to your portfolios can decrease your overall portfolio volatility.