Bny Mellon Fund Forecast - 20 Period Moving Average
| DCFDelisted Fund | USD 9.24 0.00 0.00% |
The 20 Period Moving Average forecasted value of Bny Mellon Alcentra on the next trading day is expected to be 9.21 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 1.50. Bny Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Bny Mellon's historical fundamentals, such as revenue growth or operating cash flow patterns.
Bny |
Bny Mellon 20 Period Moving Average Price Forecast For the 27th of November
Given 90 days horizon, the 20 Period Moving Average forecasted value of Bny Mellon Alcentra on the next trading day is expected to be 9.21 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 1.50.Please note that although there have been many attempts to predict Bny 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 Fund Forecast Pattern
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Bny Mellon Forecasted Value
In the context of forecasting Bny Mellon's 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 8.94 and 9.48, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Bny Mellon fund data series using in forecasting. Note that when a statistical model is used to represent Bny Mellon 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.| AIC | Akaike Information Criteria | 75.01 |
| Bias | Arithmetic mean of the errors | -0.0321 |
| MAD | Mean absolute deviation | 0.0367 |
| MAPE | Mean absolute percentage error | 0.004 |
| SAE | Sum of the absolute errors | 1.504 |
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 Alcentra. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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 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.
Other Forecasting Options for Bny Mellon
For every potential investor in Bny, 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. Bny Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bny. Basic forecasting techniques help filter out the noise by identifying Bny Mellon's price trends.View Bny Mellon Related Equities
| Risk & Return | Correlation |
Bny Mellon Alcentra Technical and Predictive Analytics
The fund 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Bny Mellon Market Strength Events
Market strength indicators help investors to evaluate how Bny Mellon fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bny Mellon shares will generate the highest return on investment. By undertsting and applying Bny Mellon fund market strength indicators, traders can identify Bny Mellon Alcentra entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0022 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 9.25 | |||
| Day Typical Price | 9.25 | |||
| Market Facilitation Index | 0.02 | |||
| Price Action Indicator | (0.01) | |||
| Relative Strength Index | 56.55 |
Bny Mellon Risk Indicators
The analysis of Bny Mellon'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 Bny Mellon's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bny 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.
| Mean Deviation | 0.2011 | |||
| Semi Deviation | 0.0991 | |||
| Standard Deviation | 0.2627 | |||
| Variance | 0.069 | |||
| Downside Variance | 0.0898 | |||
| Semi Variance | 0.0098 | |||
| Expected Short fall | (0.23) |
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.
Currently Active Assets on Macroaxis
Check out Historical Fundamental Analysis of Bny Mellon to cross-verify your projections. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Other Consideration for investing in Bny Fund
If you are still planning to invest in Bny Mellon Alcentra check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Bny Mellon's history and understand the potential risks before investing.
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