Ares Dynamic Fund Forward View - Simple Moving Average

ARDC Fund  USD 12.03  0.09  0.75%   
Ares Dynamic Credit'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 model is fitted to available historical daily prices for Ares Dynamic. This page is updated as new daily closing prices become available for Ares Dynamic.
The Simple Moving Average forecasted value of Ares Dynamic Credit on the next trading day is expected to be 12.03 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 3.92.The simple moving average model is conceptually a linear regression of the current value of Ares Dynamic Credit price series against current and previous (unobserved) value of Ares Dynamic. 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 Ares Dynamic Credit are reference data reflecting model output based on available historical prices.
A two period moving average forecast for Ares Dynamic is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Simple Moving Average Price Forecast For the 23rd of March

Given 90 days horizon, the Simple Moving Average forecasted value of Ares Dynamic Credit on the next trading day is expected to be 12.03 with a mean absolute deviation of 0.07 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 3.92 .
Please note that although there have been many attempts to predict Ares 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 Ares Dynamic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fund Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates Ares Dynamic's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 11.46 on the downside to about 12.60 on the upside.
Market Value
12.03
12.03
Expected Value
12.60
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 Ares Dynamic fund data series using in forecasting. Note that when a statistical model is used to represent Ares Dynamic 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 Criteria109.5112
BiasArithmetic mean of the errors 0.0231
MADMean absolute deviation0.0664
MAPEMean absolute percentage error0.0052
SAESum of the absolute errors3.915
The simple moving average model is conceptually a linear regression of the current value of Ares Dynamic Credit price series against current and previous (unobserved) value of Ares Dynamic. 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

Other Forecasting Options for Ares Dynamic

Bollinger Bands applied to Ares Fund price data measure how far Ares has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Ares Dynamic's price data. On-balance volume for Ares Fund creates a running indicator of buying versus selling pressure in Ares. Price departures from the channel boundary often mean-revert, offering tactical signals for Ares Dynamic's.

Ares Dynamic Related Equities

These related stocks within the Asset Management space give benchmarks for judging Ares Dynamic's results, margins, and growth trend. Checking cash flow across this peer set helps gauge Ares Dynamic's relative financial strength. A stock that beats its peers on many metrics often deserves a closer look from value-focused investors.
 Risk & Return  Correlation

Ares Dynamic Market Strength Events

For investors tracking Ares Dynamic Credit, market strength indicators offer quantitative evaluation of fund behavior. By using these indicators, traders can make more informed decisions about when to buy or sell Ares Dynamic Credit. These indicators capture shifts in momentum that may precede significant price moves in Ares Dynamic. These metrics provide actionable context for both entry and risk management decisions around Ares Dynamic Credit.

Ares Dynamic Risk Indicators

Analyzing Ares Dynamic's basic risk indicators provides investors with a structured view of the risk-return trade-off for ares fund. By identifying the level of risk embedded in Ares Dynamic's investment, investors can make informed decisions about position sizing. Analyzing Ares Dynamic's risk indicators gives investors important context for price forecasting. Understanding the risk in Ares Dynamic's investment allows investors to make informed choices about mitigating exposure.
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 Ares Dynamic

A coverage review of Ares Dynamic Credit shows when the security is attracting above-average attention from contributors and market observers. 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.