Bny Mellon Etf Market Value
| BKUI Etf | USD 49.80 0.03 0.06% |
| Symbol | BNY |
BNY Mellon ETF's market price often diverges from its book value, the accounting figure shown on BNY's balance sheet. Smart investors calculate BNY Mellon's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since BNY Mellon's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between BNY Mellon's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding BNY Mellon should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. 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.
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 etf 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 ETF or generate 0.0% return on investment in BNY Mellon over 90 days. BNY Mellon is related to or competes with Morgan Stanley, Xtrackers Short, First Trust, KraneShares Trust, Innovator MSCI, Janus Henderson, and Aptus Drawdown. The fund normally invests at least 80 percent of its net assets in investment grade, U.S 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 etf 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 ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (4.59) | |||
| Maximum Drawdown | 0.0811 | |||
| Potential Upside | 0.0603 |
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 | 0.3646 | |||
| Total Risk Alpha | 0.0058 |
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 | 0.3646 | |||
| Mean Deviation | 0.013 | |||
| Coefficient Of Variation | 98.78 | |||
| Standard Deviation | 0.0175 | |||
| Variance | 3.0E-4 | |||
| Information Ratio | (4.59) | |||
| Total Risk Alpha | 0.0058 | |||
| Maximum Drawdown | 0.0811 | |||
| Potential Upside | 0.0603 | |||
| Skewness | 0.6718 | |||
| Kurtosis | 0.3779 |
BNY Mellon ETF Backtested Returns
BNY Mellon is very steady at the moment. BNY Mellon ETF secures Sharpe Ratio (or Efficiency) of 0.97, which signifies that the etf had a 0.97 % return per unit of volatility over the last 3 months. We have found nineteen technical indicators for BNY Mellon ETF, which you can use to evaluate the volatility of the entity. Please confirm BNY Mellon's coefficient of variation of 98.78, and Risk Adjusted Performance of 0.3646 to double-check if the risk estimate we provide is consistent with the expected return of 0.0175%. The etf shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and BNY Mellon are completely uncorrelated.
Auto-correlation | 0.97 |
Excellent predictability
BNY Mellon ETF has excellent 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 ETF price movement. The serial correlation of 0.97 indicates that 97.0% of current BNY Mellon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.97 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
BNY Mellon technical etf 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, etf market cycles, or different charting patterns.