JAMES ALPHA Mutual Fund Forward View - Triple Exponential Smoothing
| JARIX Fund | USD 14.61 -0.10 -0.68% |
The Triple Exponential Smoothing forecast shown here for JAMES ALPHA 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 Triple Exponential Smoothing output serves as one input among many for analytical review.
The Triple Exponential Smoothing forecasted value of James Alpha Global on the next trading day is expected to be 14.53 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.32.As with simple exponential smoothing, in triple exponential smoothing models past JAMES ALPHA observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older James Alpha Global observations. This Triple Exponential Smoothing reference page for JAMES ALPHA presents model-generated projections from historical price data for informational purposes. Triple Exponential Smoothing Price Forecast For the 25th of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of James Alpha Global on the next trading day is expected to be 14.53 with a mean absolute deviation of 0.09 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 5.32 .Please note that although there have been many attempts to predict JAMES 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 JAMES ALPHA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
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Forecasted Value
Forecasting James Alpha Global for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of JAMES ALPHA mutual fund data series using in forecasting. Note that when a statistical model is used to represent JAMES ALPHA 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0166 |
| MAD | Mean absolute deviation | 0.0902 |
| MAPE | Mean absolute percentage error | 0.0059 |
| SAE | Sum of the absolute errors | 5.3214 |
Other Forecasting Options for JAMES ALPHA
The distribution of JAMES ALPHA's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in JAMES ALPHA's chart that simple price charts miss. The slope of JAMES ALPHA's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in JAMES.JAMES ALPHA Related Equities
Checking JAMES ALPHA against related firms within the Global Real Estate space helps investors see where the stock stands among peers. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across JAMES ALPHA's peer group.
| Risk & Return | Correlation |
JAMES ALPHA Market Strength Events
Market strength indicators for JAMES ALPHA give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in James Alpha Global. Market strength analysis for James Alpha Global works best when combined with volume and volatility data. For JAMES ALPHA, strength indicators are a practical complement to price and fundamental analysis.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 14.61 | |||
| Day Typical Price | 14.61 | |||
| Price Action Indicator | -0.05 | |||
| Period Momentum Indicator | -0.10 | |||
| Relative Strength Index | 36.77 |
JAMES ALPHA Risk Indicators
A thorough review of JAMES ALPHA's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in JAMES ALPHA's allows investors to make better decisions about entry, sizing, and hedging. The assessment of JAMES ALPHA's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in JAMES ALPHA's provides context to choose between accepting or hedging exposure.
| Mean Deviation | 0.5796 | |||
| Semi Deviation | 0.9587 | |||
| Standard Deviation | 0.7998 | |||
| Variance | 0.6397 | |||
| Downside Variance | 1.17 | |||
| Semi Variance | 0.9191 | |||
| Expected Short fall | -0.54 |
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 JAMES ALPHA
The amount of media and story coverage tied to James Alpha Global can signal where market attention is concentrating at the moment. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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.