Bny Mellon Strategic Stock Market Value
| LEO Stock | USD 6.51 0.01 0.15% |
| Symbol | BNY |
Will Asset Management & Custody Banks sector continue expanding? Could BNY diversify its offerings? Factors like these will boost the valuation of BNY Mellon. Expected growth trajectory for BNY significantly influences the price investors are willing to assign. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every BNY Mellon data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.67) | Dividend Share 0.244 | Earnings Share (0.21) | Revenue Per Share | Quarterly Revenue Growth 0.035 |
Investors evaluate BNY Mellon Strategic using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating BNY Mellon's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause BNY Mellon's market price to deviate significantly from intrinsic value.
Understanding that BNY Mellon's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether BNY Mellon represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, BNY Mellon's market price signifies the transaction level at which participants voluntarily complete trades.
BNY Mellon 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to BNY Mellon's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of BNY Mellon.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in BNY Mellon on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding BNY Mellon Strategic or generate 0.0% return on investment in BNY Mellon over 90 days. BNY Mellon is related to or competes with Source Capital, Palmer Square, GigCapital7 Corp, Barings Corporate, Saratoga Investment, PennantPark Investment, and Diamond Hill. BNY Mellon Strategic Municipals, Inc. is a closed ended fixed income mutual fund launched and managed by BNY Mellon Inve... More
BNY Mellon Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure BNY Mellon's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess BNY Mellon Strategic upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4336 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.54 | |||
| Value At Risk | (0.64) | |||
| Potential Upside | 0.6525 |
BNY Mellon Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BNY Mellon's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BNY Mellon's standard deviation. In reality, there are many statistical measures that can use BNY Mellon historical prices to predict the future BNY Mellon's volatility.| Risk Adjusted Performance | 0.124 | |||
| Jensen Alpha | 0.0636 | |||
| Total Risk Alpha | 0.0146 | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 4.14 |
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.
BNY Mellon February 10, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.124 | |||
| Market Risk Adjusted Performance | 4.15 | |||
| Mean Deviation | 0.3366 | |||
| Semi Deviation | 0.2026 | |||
| Downside Deviation | 0.4336 | |||
| Coefficient Of Variation | 609.78 | |||
| Standard Deviation | 0.4572 | |||
| Variance | 0.209 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | 0.0636 | |||
| Total Risk Alpha | 0.0146 | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 4.14 | |||
| Maximum Drawdown | 2.54 | |||
| Value At Risk | (0.64) | |||
| Potential Upside | 0.6525 | |||
| Downside Variance | 0.188 | |||
| Semi Variance | 0.0411 | |||
| Expected Short fall | (0.45) | |||
| Skewness | 0.7895 | |||
| Kurtosis | 1.93 |
BNY Mellon Strategic Backtested Returns
As of now, BNY Stock is very steady. BNY Mellon Strategic secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for BNY Mellon Strategic, which you can use to evaluate the volatility of the firm. Please confirm BNY Mellon's mean deviation of 0.3366, and Risk Adjusted Performance of 0.124 to double-check if the risk estimate we provide is consistent with the expected return of 0.0717%. BNY Mellon has a performance score of 12 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0157, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BNY Mellon's returns are expected to increase less than the market. However, during the bear market, the loss of holding BNY Mellon is expected to be smaller as well. BNY Mellon Strategic currently shows a risk of 0.46%. Please confirm BNY Mellon Strategic semi variance, as well as the relationship between the daily balance of power and price action indicator , to decide if BNY Mellon Strategic will be following its price patterns.
Auto-correlation | 0.24 |
Weak predictability
BNY Mellon Strategic has weak predictability. Overlapping area represents the amount of predictability between BNY Mellon time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of BNY Mellon Strategic price movement. The serial correlation of 0.24 indicates that over 24.0% of current BNY Mellon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 together with BNY Stock
| 0.79 | LBS | Life Banc Split | PairCorr |
| 0.86 | DFN | Dividend 15 Split | PairCorr |
| 0.79 | CSOC-A | Canso Select Opportu | PairCorr |
| 0.83 | DGS | Dividend Growth Split | PairCorr |
| 0.78 | ASA | ASA Gold | PairCorr |
Moving against BNY Stock
| 0.6 | NMFC | New Mountain Finance | PairCorr |
| 0.49 | MFIC | MidCap Financial Inv | PairCorr |
| 0.35 | GSBD | Goldman Sachs BDC | 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 BNY Mellon Correlation, BNY Mellon Volatility and BNY Mellon Performance module to complement your research on BNY Mellon. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
BNY Mellon technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.