COMMODITYREALRETURN Mutual Fund Forward View - Simple Regression
| PCRIX Fund | USD 17.52 -0.01 -0.06% |
The Simple Regression forecast shown here for COMMODITYREALRETURN is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Simple Regression output serves as one input among many for analytical review.
The Simple Regression forecasted value of Commodityrealreturn Strategy Fund on the next trading day is expected to be 17.35 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.79.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Commodityrealreturn Strategy Fund historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. This Simple Regression reference page for COMMODITYREALRETURN presents model-generated projections from historical price data for informational purposes. Simple Regression Price Forecast For the 23rd of March
Given 90 days horizon, the Simple Regression forecasted value of Commodityrealreturn Strategy Fund on the next trading day is expected to be 17.35 with a mean absolute deviation of 0.34 , mean absolute percentage error of 0.16 , and the sum of the absolute errors of 20.79 .Please note that although there have been many attempts to predict COMMODITYREALRETURN Mutual Fund 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 COMMODITYREALRETURN's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest COMMODITYREALRETURN | COMMODITYREALRETURN Price Prediction | Research Analysis |
Forecasted Value
Forecasting Commodityrealreturn Strategy Fund for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 16.02 on the downside to about 18.68 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of COMMODITYREALRETURN mutual fund data series using in forecasting. Note that when a statistical model is used to represent COMMODITYREALRETURN mutual fund, 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 | 116.2691 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3408 |
| MAPE | Mean absolute percentage error | 0.0213 |
| SAE | Sum of the absolute errors | 20.7882 |
Other Forecasting Options for COMMODITYREALRETURN
The distribution of COMMODITYREALRETURN's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in COMMODITYREALRETURN's chart that simple price charts miss. The slope of COMMODITYREALRETURN's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in COMMODITYREALRETURN.COMMODITYREALRETURN Related Equities
These stocks within the Commodities Broad Basket space are often compared to COMMODITYREALRETURN by analysts and fund managers in the sector. Growth rate gaps between COMMODITYREALRETURN and its peers often explain pricing differences in the market.
| Risk & Return | Correlation |
COMMODITYREALRETURN Market Strength Events
Market strength indicators for COMMODITYREALRETURN give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Commodityrealreturn Strategy Fund. Market strength analysis for Commodityrealreturn Strategy Fund works best when combined with volume and volatility data. For COMMODITYREALRETURN, strength indicators are a practical complement to price and fundamental analysis.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 17.52 | |||
| Day Typical Price | 17.52 | |||
| Price Action Indicator | -0.01 | |||
| Period Momentum Indicator | -0.01 | |||
| Relative Strength Index | 66.1 |
COMMODITYREALRETURN Risk Indicators
A thorough review of COMMODITYREALRETURN's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in COMMODITYREALRETURN's allows investors to make better decisions about entry, sizing, and hedging. The assessment of COMMODITYREALRETURN's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in COMMODITYREALRETURN's provides context to choose between accepting or hedging exposure.
| Mean Deviation | 0.9907 | |||
| Semi Deviation | 1.25 | |||
| Standard Deviation | 1.33 | |||
| Variance | 1.77 | |||
| Downside Variance | 2.56 | |||
| Semi Variance | 1.55 | |||
| Expected Short fall | -1.09 |
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 COMMODITYREALRETURN
A coverage review of Commodityrealreturn Strategy Fund shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Other Macroaxis Stories
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