BNY Mellon Etf Forecast - Simple Regression
| BKIE Etf | USD 96.38 0.45 0.47% |
BNY Etf outlook is based on your current time horizon. Investors can use this forecasting interface to forecast BNY Mellon stock prices and determine the direction of BNY Mellon International's future trends based on various well-known forecasting models. 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.
The relative strength momentum indicator of BNY Mellon's etf price is about 62 suggesting that the etf is rather overbought by investors at the present time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling BNY, making its price go up or down. Momentum 62
Buy Extended
Oversold | Overbought |
Using BNY Mellon hype-based prediction, you can estimate the value of BNY Mellon International from the perspective of BNY Mellon response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of BNY Mellon International on the next trading day is expected to be 95.71 with a mean absolute deviation of 0.88 and the sum of the absolute errors of 53.72. BNY Mellon after-hype prediction price | USD 96.38 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of BNY Mellon to cross-verify your projections. BNY Mellon Additional Predictive Modules
Most predictive techniques to examine BNY price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BNY using various technical indicators. When you analyze BNY charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
BNY Mellon Simple Regression Price Forecast For the 26th of January
Given 90 days horizon, the Simple Regression forecasted value of BNY Mellon International on the next trading day is expected to be 95.71 with a mean absolute deviation of 0.88, mean absolute percentage error of 1.29, and the sum of the absolute errors of 53.72.Please note that although there have been many attempts to predict BNY Etf 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 Etf Forecast Pattern
| Backtest BNY Mellon | BNY Mellon Price Prediction | Buy or Sell Advice |
BNY Mellon Forecasted Value
In the context of forecasting BNY Mellon's Etf 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 94.99 and 96.42, 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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of BNY Mellon etf data series using in forecasting. Note that when a statistical model is used to represent BNY Mellon etf, 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 | 118.3615 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.8806 |
| MAPE | Mean absolute percentage error | 0.0097 |
| SAE | Sum of the absolute errors | 53.7188 |
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 International. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.BNY Mellon After-Hype Price Density Analysis
As far as predicting the price of BNY Mellon at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in BNY Mellon or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of BNY Mellon, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
BNY Mellon Estimiated After-Hype Price Volatility
In the context of predicting BNY Mellon's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on BNY Mellon's historical news coverage. BNY Mellon's after-hype downside and upside margins for the prediction period are 95.67 and 97.09, respectively. We have considered BNY Mellon's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
BNY Mellon is very steady at this time. Analysis and calculation of next after-hype price of BNY Mellon International is based on 3 months time horizon.
BNY Mellon Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as BNY Mellon is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading BNY Mellon backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with BNY Mellon, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.11 | 0.71 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
96.38 | 96.38 | 0.00 |
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BNY Mellon Hype Timeline
BNY Mellon International is currently traded for 96.38. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. BNY is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.11%. %. The volatility of related hype on BNY Mellon is about 0.0%, with the expected price after the next announcement by competition of 96.38. Given the investment horizon of 90 days the next forecasted press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of BNY Mellon to cross-verify your projections.BNY Mellon Related Hype Analysis
Having access to credible news sources related to BNY Mellon's direct competition is more important than ever and may enhance your ability to predict BNY Mellon's future price movements. Getting to know how BNY Mellon's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how BNY Mellon may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DIVB | iShares Dividend and | 0.00 | 0 per month | 0.61 | (0.02) | 1.28 | (1.14) | 3.38 | |
| CCMG | EA Series Trust | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FNDB | Schwab Fundamental Broad | 0.00 | 0 per month | 0.50 | 0.01 | 1.25 | (1.11) | 3.09 | |
| PSC | Principal Small Cap Multi Factor | 0.00 | 0 per month | 0.93 | 0.01 | 1.89 | (1.63) | 4.63 | |
| RWK | Invesco SP MidCap | 0.00 | 0 per month | 0.76 | 0.01 | 2.11 | (1.45) | 4.37 | |
| DLS | WisdomTree International SmallCap | 0.00 | 0 per month | 0.48 | 0.06 | 1.10 | (1.03) | 3.01 | |
| IYE | iShares Energy ETF | 0.00 | 0 per month | 1.02 | 0.09 | 2.15 | (1.40) | 5.02 | |
| OUSM | ALPS ETF Trust | 0.00 | 0 per month | 0.63 | (0.04) | 1.71 | (1.05) | 3.67 | |
| LGLV | SPDR SSGA Large | 0.00 | 0 per month | 0.47 | (0.03) | 0.96 | (0.89) | 2.46 | |
| USVM | VictoryShares Small Mid | 0.00 | 0 per month | 0.66 | 0.03 | 1.63 | (1.41) | 3.72 |
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 Etf 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.BNY Mellon 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 etf 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.
| Risk & Return | Correlation |
BNY Mellon Market Strength Events
Market strength indicators help investors to evaluate how BNY Mellon etf 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 etf market strength indicators, traders can identify BNY Mellon International entry and exit signals to maximize returns.
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 etf 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 | 0.5728 | |||
| Semi Deviation | 0.6157 | |||
| Standard Deviation | 0.7145 | |||
| Variance | 0.5105 | |||
| Downside Variance | 0.6012 | |||
| Semi Variance | 0.3791 | |||
| Expected Short fall | (0.61) |
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 BNY Mellon
The number of cover stories for BNY Mellon depends on current market conditions and BNY Mellon's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that BNY Mellon is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about BNY Mellon's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of BNY Mellon to cross-verify your projections. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
The market value of BNY Mellon International is measured differently than its book value, which is the value of BNY that is recorded on the company's balance sheet. Investors also form their own opinion of BNY Mellon's value that differs from its market value or its book value, called intrinsic value, which is BNY Mellon's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because BNY Mellon's market value can be influenced by many factors that don't directly affect BNY Mellon's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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 if BNY Mellon is a good investment 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.