BNY Mellon Stock Forecast - Naive Prediction
| LEO Stock | USD 6.41 0.03 0.47% |
The Naive Prediction forecasted value of BNY Mellon Strategic on the next trading day is expected to be 6.49 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.38. BNY Stock Forecast is based on your current time horizon. Although BNY Mellon's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of BNY Mellon's systematic risk associated with finding meaningful patterns of BNY Mellon fundamentals over time.
BNY |
BNY Mellon Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the BNY Mellon's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2002-09-30 | Previous Quarter 6.2 M | Current Value 1 M | Quarterly Volatility 2.4 M |
BNY Mellon Naive Prediction Price Forecast For the 5th of December
Given 90 days horizon, the Naive Prediction forecasted value of BNY Mellon Strategic on the next trading day is expected to be 6.49 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.38.Please note that although there have been many attempts to predict BNY Stock 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 Stock 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 Stock 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 5.81 and 7.17, 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of BNY Mellon stock data series using in forecasting. Note that when a statistical model is used to represent BNY Mellon stock, 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 | 111.9953 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0391 |
| MAPE | Mean absolute percentage error | 0.0061 |
| SAE | Sum of the absolute errors | 2.3827 |
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 Strategic. Regardless of method or technology, however, to accurately forecast the stock 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, 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 Stock 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 Strategic 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.| Cycle Indicators | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
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| Volume Indicators |
BNY Mellon Market Strength Events
Market strength indicators help investors to evaluate how BNY Mellon stock 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 stock market strength indicators, traders can identify BNY Mellon Strategic 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 stock 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 | 0.4989 | |||
| Semi Deviation | 0.5485 | |||
| Standard Deviation | 0.678 | |||
| Variance | 0.4596 | |||
| Downside Variance | 0.5576 | |||
| Semi Variance | 0.3009 | |||
| Expected Short fall | (0.72) |
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.
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.Moving against BNY Stock
| 0.61 | MS | Morgan Stanley Fiscal Year End 21st of January 2025 | PairCorr |
| 0.58 | SYF | Synchrony Financial Fiscal Year End 28th of January 2025 | PairCorr |
| 0.57 | COF | Capital One Financial Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.56 | AX | Axos Financial | PairCorr |
| 0.55 | SOFI | SoFi Technologies Aggressive Push | PairCorr |
The ability to find closely correlated positions to BNY Mellon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BNY Mellon 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 BNY Mellon - 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 BNY Mellon Strategic to buy it.
The correlation of BNY Mellon 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 BNY Mellon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BNY Mellon Strategic 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 BNY Mellon 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.Check out Historical Fundamental Analysis of BNY Mellon to cross-verify your projections. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of BNY Mellon. If investors know BNY will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about BNY Mellon listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.569 | Earnings Share 1.18 | Revenue Per Share 0.479 | Quarterly Revenue Growth (0.03) | Return On Assets 0.0228 |
The market value of BNY Mellon Strategic 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.