Bny Mellon Insight Fund Market Value
| DCPCX Fund | USD 9.39 0.03 0.32% |
| Symbol | Bny |
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 mutual fund 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.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Bny Mellon on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Bny Mellon Insight or generate 0.0% return on investment in Bny Mellon over 90 days. Bny Mellon is related to or competes with Dreyfusstandish Global, Dreyfusstandish Global, Dreyfus High, Dreyfus High, Dreyfus High, Dreyfus New, and Dreyfus International. To pursue its goal, the fund normally invests in a diversified portfolio of fixed-income securities of 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 mutual fund 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 Insight upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1976 | |||
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 0.8644 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.3215 |
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 | 0.1066 | |||
| Jensen Alpha | 0.0175 | |||
| Total Risk Alpha | 0.008 | |||
| Sortino Ratio | (0.20) | |||
| Treynor Ratio | 0.3528 |
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 17, 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 | 0.1066 | |||
| Market Risk Adjusted Performance | 0.3628 | |||
| Mean Deviation | 0.1429 | |||
| Downside Deviation | 0.1976 | |||
| Coefficient Of Variation | 566.74 | |||
| Standard Deviation | 0.1764 | |||
| Variance | 0.0311 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | 0.0175 | |||
| Total Risk Alpha | 0.008 | |||
| Sortino Ratio | (0.20) | |||
| Treynor Ratio | 0.3528 | |||
| Maximum Drawdown | 0.8644 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.3215 | |||
| Downside Variance | 0.0391 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.19) | |||
| Skewness | (0.16) | |||
| Kurtosis | (0.17) |
Bny Mellon Insight Backtested Returns
At this stage we consider Bny Mutual Fund to be very steady. Bny Mellon Insight secures Sharpe Ratio (or Efficiency) of 0.23, which signifies that the fund had a 0.23 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Bny Mellon Insight, which you can use to evaluate the volatility of the entity. Please confirm Bny Mellon's Risk Adjusted Performance of 0.1066, coefficient of variation of 566.74, and Mean Deviation of 0.1429 to double-check if the risk estimate we provide is consistent with the expected return of 0.0397%. The fund shows a Beta (market volatility) of 0.0599, 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.
Auto-correlation | 0.35 |
Below average predictability
Bny Mellon Insight has below average predictability. Overlapping area represents the amount of predictability between Bny Mellon time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Insight price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Bny Mellon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Bny Mutual Fund
Bny Mellon financial ratios help investors to determine whether Bny Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bny with respect to the benefits of owning Bny Mellon security.
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |