BNY Mellon Mutual Fund Forecast - Naive Prediction

DPLTX -  USA Fund  

USD 6.04  0.02  0.33%

DPLTX Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast BNY Mellon historical stock prices and determine the direction of BNY Mellon High's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of BNY Mellon historical fundamentals such as revenue growth or operating cash flow patterns.
Continue to Historical Fundamental Analysis of BNY Mellon to cross-verify your projections.

DPLTX Mutual Fund Forecast 

 
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Most investors in BNY Mellon cannot accurately predict what will happen the next trading day because, historically, stock 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 BNY Mellon's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets BNY Mellon's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for BNY Mellon is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of BNY Mellon High value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

BNY Mellon Naive Prediction Price Forecast For the 8th of December

Given 90 days horizon, the Naive Prediction forecasted value of BNY Mellon High on the next trading day is expected to be 6.04 with a mean absolute deviation of 0.011839, mean absolute percentage error of 0.00020679, and the sum of the absolute errors of 0.72. Please note that although there have been many attempts to predict DPLTX 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 BNY Mellon's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BNY Mellon Mutual Fund Forecast Pattern

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BNY Mellon Forecasted Value

In the context of forecasting BNY Mellon'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. BNY Mellon's downside and upside margins for the forecasting period are 5.85 and 6.23, respectively. We have considered BNY Mellon'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
6.04
7th of December 2021
6.04
Expected Value
6.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of BNY Mellon mutual fund data series using in forecasting. Note that when a statistical model is used to represent BNY Mellon 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 Criteria109.6267
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0118
MAPEMean absolute percentage error0.0019
SAESum of the absolute errors0.7222
This model is not at all useful as a medium-long range forecasting tool of BNY Mellon High. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict BNY Mellon. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for BNY Mellon

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BNY Mellon High. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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, frequently view the market will even out over time. This tendency of BNY Mellon'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. Please use the tools below to analyze the current value of BNY Mellon in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
5.856.046.23
Details
Intrinsic
Valuation
LowReal ValueHigh
5.866.056.24
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
6.036.106.17
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BNY Mellon. Your research has to be compared to or analyzed against BNY Mellon's peers to derive any actionable benefits. When done correctly, BNY Mellon's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in BNY Mellon High.

Other Forecasting Options for BNY Mellon

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

View Currently 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 BNY Mellon mutual fund to make a market-neutral strategy. Peer analysis of BNY Mellon could also be used in its relative valuation, which is a method of valuing BNY Mellon by comparing valuation metrics with similar companies.

BNY Mellon High Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of BNY Mellon'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 BNY Mellon's current price.

BNY Mellon Risk Indicators

The analysis of BNY Mellon's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in BNY Mellon's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting BNY Mellon stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Be your own money manager

Our tools can tell you how much better you can do entering a position in BNY Mellon without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Pair Trading with BNY Mellon

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 BNY Mellon 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 BNY Mellon will appreciate offsetting losses from the drop in the long position's value.

BNY Mellon Pair Correlation

Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for BNY Mellon and Blackrock High Yield. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
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Continue to Historical Fundamental Analysis of BNY Mellon to cross-verify your projections. Note that the BNY Mellon High information on this page should be used as a complementary analysis to other BNY Mellon's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Complementary Tools for DPLTX Mutual Fund analysis

When running BNY Mellon High price analysis, check to measure BNY Mellon's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy BNY Mellon is operating at the current time. Most of BNY Mellon's value examination focuses on studying past and present price action to predict the probability of BNY Mellon's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move BNY Mellon's price. Additionally, you may evaluate how the addition of BNY Mellon to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between BNY Mellon's value and its price as these two are different measures arrived at by different means. Investors typically determine BNY Mellon value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BNY Mellon'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.