Dunham Large Mutual Fund Forecast - Simple Regression

DNLVX Fund  USD 19.24  0.26  1.37%   
The Simple Regression forecasted value of Dunham Large Cap on the next trading day is expected to be 19.04 with a mean absolute deviation of  0.1  and the sum of the absolute errors of 6.08. Dunham Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Dunham Large stock prices and determine the direction of Dunham Large Cap's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Dunham Large's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Dunham Large to cross-verify your projections.
  
Most investors in Dunham Large cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Dunham Large's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Dunham Large's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Dunham Large price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Dunham Large Simple Regression Price Forecast For the 29th of March

Given 90 days horizon, the Simple Regression forecasted value of Dunham Large Cap on the next trading day is expected to be 19.04 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.08.
Please note that although there have been many attempts to predict Dunham Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Dunham Large's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dunham Large Mutual Fund Forecast Pattern

Backtest Dunham LargeDunham Large Price PredictionBuy or Sell Advice 

Dunham Large Forecasted Value

In the context of forecasting Dunham Large's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Dunham Large's downside and upside margins for the forecasting period are 18.49 and 19.59, respectively. We have considered Dunham Large's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
19.24
19.04
Expected Value
19.59
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 Dunham Large mutual fund data series using in forecasting. Note that when a statistical model is used to represent Dunham Large 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 Criteria114.0022
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0996
MAPEMean absolute percentage error0.0055
SAESum of the absolute errors6.078
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 Dunham Large Cap historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Dunham Large

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dunham Large Cap. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dunham Large's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
18.4518.9819.51
Details
Intrinsic
Valuation
LowRealHigh
17.8718.4020.88
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.9818.9818.98
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Dunham Large. Your research has to be compared to or analyzed against Dunham Large's peers to derive any actionable benefits. When done correctly, Dunham Large's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Dunham Large Cap.

Other Forecasting Options for Dunham Large

For every potential investor in Dunham, whether a beginner or expert, Dunham Large's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Dunham Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Dunham. Basic forecasting techniques help filter out the noise by identifying Dunham Large's price trends.

Dunham Large Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Dunham Large mutual fund to make a market-neutral strategy. Peer analysis of Dunham Large could also be used in its relative valuation, which is a method of valuing Dunham Large by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Dunham Large Cap Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Dunham Large's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Dunham Large's current price.

Dunham Large Market Strength Events

Market strength indicators help investors to evaluate how Dunham Large mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Dunham Large shares will generate the highest return on investment. By undertsting and applying Dunham Large mutual fund market strength indicators, traders can identify Dunham Large Cap entry and exit signals to maximize returns.

Dunham Large Risk Indicators

The analysis of Dunham Large's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Dunham Large's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dunham mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Dunham Large in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Dunham Large's short interest history, or implied volatility extrapolated from Dunham Large options trading.

Pair Trading with Dunham Large

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Dunham Large position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Dunham Large will appreciate offsetting losses from the drop in the long position's value.

Moving together with Dunham Mutual Fund

  0.88DAAIX Dunham AppreciationPairCorr
  0.97DAAVX Dunham Dynamic MacroPairCorr
  0.82DADGX Dunham Small CapPairCorr
  0.86DAEMX Dunham Emerging MarketsPairCorr
The ability to find closely correlated positions to Dunham Large could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dunham Large when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Dunham Large - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Dunham Large Cap to buy it.
The correlation of Dunham Large is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Dunham Large moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dunham Large Cap moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Dunham Large can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Historical Fundamental Analysis of Dunham Large to cross-verify your projections.
You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..

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Please note, there is a significant difference between Dunham Large's value and its price as these two are different measures arrived at by different means. Investors typically determine if Dunham Large is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dunham Large's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.