DIAMOND HILL Mutual Fund Forward View - Polynomial Regression

DIAMX Fund  USD 29.25  -0.08  -0.27%   
This page provides Polynomial Regression reference data for Diamond Hill Long Short, calculated from historical daily prices. The model output shown here is derived from DIAMOND HILL's historical price series and is provided for informational purposes.
The Polynomial Regression forecasted value of Diamond Hill Long Short on the next trading day is expected to be 29.14 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.34.A single variable polynomial regression model attempts to put a curve through the DIAMOND HILL 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 The Polynomial Regression reference information for DIAMOND HILL is based on available price data and is intended for informational purposes.
DIAMOND HILL polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Diamond Hill Long Short as well as the accuracy indicators are determined from the period prices.

Polynomial Regression Price Forecast For the 23rd of March

Given 90 days horizon, the Polynomial Regression forecasted value of Diamond Hill Long Short on the next trading day is expected to be 29.14 with a mean absolute deviation of 0.10 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 6.34 .
Please note that although there have been many attempts to predict DIAMOND 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 DIAMOND HILL'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

The next-day forecast for Diamond Hill Long Short focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
29.25
29.14
Expected Value
29.56
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 DIAMOND HILL mutual fund data series using in forecasting. Note that when a statistical model is used to represent DIAMOND HILL 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.
AICAkaike Information Criteria114.1008
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1039
MAPEMean absolute percentage error0.0034
SAESum of the absolute errors6.336
A single variable polynomial regression model attempts to put a curve through the DIAMOND HILL 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

Other Forecasting Options for DIAMOND HILL

The autocorrelation structure of DIAMOND HILL's daily returns reveals whether DIAMOND exhibits momentum, mean-reversion, or random-walk behavior. Separating these elements helps distinguish persistent directional moves from temporary noise in DIAMOND Mutual Fund price data.

DIAMOND HILL Related Equities

Sizing up DIAMOND HILL against these stocks within the Long-Short Equity space shows how it compares on key financial measures. Revenue and margin checks across this group help investors set expectations for DIAMOND HILL's results.
 Risk & Return  Correlation

DIAMOND HILL Market Strength Events

Market strength indicators applied to DIAMOND HILL mutual fund help assess momentum and resilience across environments. Investors can use these indicators to make informed decisions about market timing when trading DIAMOND HILL.

DIAMOND HILL Risk Indicators

Risk indicator analysis for DIAMOND HILL is essential for accurately projecting its future price trajectory. The process involves identifying the amount of risk involved in DIAMOND HILL's investment and either accepting or mitigating it.
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 DIAMOND HILL

Story coverage around Diamond Hill Long Short often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

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.