Joint Stock Stock Forward View - Simple Moving Average
| KSPI Stock | 74.77 2.24 3.09% |
Joint Stock's Simple Moving Average reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Simple Moving Average forecasted value of Joint Stock on the next trading day is projected to be 74.77 with a mean absolute deviation of 1.47 and the sum of the absolute errors of 88.23.The simple moving average model is conceptually a linear regression of the current value of Joint Stock price series against current and previous (unobserved) value of Joint Stock. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future All Simple Moving Average forecast figures shown for Joint Stock are reference data reflecting model output based on available historical prices. Simple Moving Average Price Forecast For the 27th of March
Given 90 days horizon, the Simple Moving Average forecasted value of Joint Stock on the next trading day is expected to be 74.77 with a mean absolute deviation of 1.47 , mean absolute percentage error of 3.79 , and the sum of the absolute errors of 88.23 .Please note that although there have been many attempts to predict Joint Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Joint Stock's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Joint Stock | Joint Stock Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Joint Stock focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The projected forecast band currently runs from roughly 72.31 on the downside to about 77.23 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Joint Stock stock data series using in forecasting. Note that when a statistical model is used to represent Joint Stock 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.| AIC | Akaike Information Criteria | 117.6039 |
| Bias | Arithmetic mean of the errors | 0.1042 |
| MAD | Mean absolute deviation | 1.4705 |
| MAPE | Mean absolute percentage error | 0.0194 |
| SAE | Sum of the absolute errors | 88.23 |
Other Forecasting Options for Joint Stock
Bollinger Bands applied to Joint Stock price data measure how far Joint has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Joint Stock's price data.Joint Stock Related Equities
These firms work in a similar space as Joint Stock within the Financials space and serve as useful points for comparison. Checking Joint Stock against peers on P/E, margins, and return on equity helps put its position in context. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into.
| Risk & Return | Correlation |
Joint Stock Market Strength Events
For investors tracking Joint Stock, market strength indicators offer quantitative evaluation of stock behavior. These indicators add context to timing decisions around Joint Stock positions.
Joint Stock Risk Indicators
Analyzing Joint Stock's basic risk indicators provides investors with a structured view of the risk-return trade-off for joint stock. By identifying the level of risk embedded in Joint Stock's investment, investors can make informed decisions about position sizing.
| Mean Deviation | 1.71 | |||
| Standard Deviation | 2.38 | |||
| Variance | 5.65 |
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.
Story Coverage note for Joint Stock
Coverage intensity for Joint Stock matters because narrative visibility can influence sentiment, participation, and volatility around the name. A disciplined read of coverage separates durable relevance from temporary noise.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.
Story Categories
Currently Trending Categories
Joint Stock Short Properties
Reviewing short-oriented indicators for Joint Stock is useful because long and short participants often create very different signals for timing and volatility. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
| Common Stock Shares Outstanding | 190 M | |
| Cash And Short Term Investments | 304.9 B |