Vanguard Intermediate Etf Forward View - Polynomial Regression
| VCIT Etf | USD 82.55 0.40 0.49% |
The Polynomial Regression forecast shown here for Vanguard Intermediate 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 Polynomial Regression output serves as one input among many for analytical review.
The Polynomial Regression forecasted value of Vanguard Intermediate Term Corporate on the next trading day is expected to be 81.83 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.71.A single variable polynomial regression model attempts to put a curve through the Vanguard Intermediate historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm This Polynomial Regression reference page for Vanguard Intermediate presents model-generated projections from historical price data for informational purposes. Polynomial Regression Price Forecast For the 25th of March
Given 90 days horizon, the Polynomial Regression forecasted value of Vanguard Intermediate Term Corporate on the next trading day is expected to be 81.83 with a mean absolute deviation of 0.22 , mean absolute percentage error of 0.07 , and the sum of the absolute errors of 13.71 .Please note that although there have been many attempts to predict Vanguard Etf 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 Vanguard Intermediate's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Etf Forecast Pattern
| Backtest Vanguard Intermediate | Vanguard Intermediate Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates Vanguard Intermediate's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 81.56 on the downside to about 82.10 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Vanguard Intermediate etf data series using in forecasting. Note that when a statistical model is used to represent Vanguard Intermediate etf, 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 | 117.3519 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2212 |
| MAPE | Mean absolute percentage error | 0.0027 |
| SAE | Sum of the absolute errors | 13.7121 |
Other Forecasting Options for Vanguard Intermediate
The distribution of Vanguard Intermediate's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in Vanguard Intermediate's chart that simple price charts miss. The slope of Vanguard Intermediate's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in Vanguard.Vanguard Intermediate Related Equities
The peer firms below within the Corporate Bond space can help frame Vanguard Intermediate's pricing and running costs in context. Market cap and total value checks frame Vanguard Intermediate's size within the competitive field. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. This peer set gives the context needed for a well-rounded view of Vanguard Intermediate.
| Risk & Return | Correlation |
Vanguard Intermediate Market Strength Events
Market strength indicators for Vanguard Intermediate give insight into the etf's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Vanguard Intermediate Term Corporate. Market strength analysis for Vanguard Intermediate Term Corporate works best when combined with volume and volatility data. For Vanguard Intermediate, strength indicators are a practical complement to price and fundamental analysis.
Vanguard Intermediate Risk Indicators
A thorough review of Vanguard Intermediate's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in Vanguard Intermediate's allows investors to make better decisions about entry, sizing, and hedging. The assessment of Vanguard Intermediate's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in Vanguard Intermediate's provides context to choose between accepting or hedging exposure.
| Mean Deviation | 0.1881 | |||
| Standard Deviation | 0.2636 | |||
| Variance | 0.0695 |
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 Vanguard Intermediate
A coverage review of Vanguard Intermediate Term Corporate 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.
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Latest Perspective From Macroaxis
More Resources for Vanguard Etf Analysis
Initial analysis of Vanguard Intermediate centers on its financial statements and observed trends. These values are derived from Vanguard Intermediate's published financial data.The Historical Fundamental Analysis of Vanguard Intermediate dataset supports cross-verification of projections for Vanguard Intermediate. Vanguard Intermediate information on this page supports broader research rather than acting as a stand-alone signal. Vanguard Intermediate analysis across multiple dimensions - risk, valuation, diversification - produces a more informed position-sizing decision. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Book value captures Vanguard accounting equity, while market value captures the collective view of participants. For Vanguard Intermediate, intrinsic value estimation helps reconcile what the market pays with what the books show.
It is useful to distinguish Vanguard Intermediate's value from its trading price, which are computed with different methods. This information is provided for contextual purposes.