Bny Mellon Strategic Fund Market Value
DSM Fund | USD 5.64 0.02 0.36% |
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 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.
05/12/2025 |
| 08/10/2025 |
If you would invest 0.00 in Bny Mellon on May 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 MFS High, Eaton Vance, Invesco Value, BNY Mellon, MFS Municipal, Munivest Fund, and Putnam Managed. BNY Mellon Strategic Municipal Bond Fund, Inc 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 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 Strategic upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.8188 | |||
Information Ratio | (0.18) | |||
Maximum Drawdown | 3.55 | |||
Value At Risk | (1.23) | |||
Potential Upside | 1.09 |
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 | 0.004 | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.10) | |||
Sortino Ratio | (0.14) | |||
Treynor Ratio | (0.02) |
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 Strategic Backtested Returns
Bny Mellon Strategic secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the fund had a close to zero % return per unit of risk over the last 3 months. Bny Mellon Strategic exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bny Mellon's Downside Deviation of 0.8188, mean deviation of 0.4808, and Risk Adjusted Performance of 0.004 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.23, 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 | 0.56 |
Modest predictability
Bny Mellon Strategic has modest predictability. Overlapping area represents the amount of predictability between Bny Mellon time series from 12th of May 2025 to 26th of June 2025 and 26th of June 2025 to 10th of August 2025. 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 0.56 indicates that roughly 56.0% of current Bny Mellon price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.56 | |
Spearman Rank Test | -0.21 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Bny Mellon Strategic lagged returns against current returns
Autocorrelation, which is Bny Mellon fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Bny Mellon's fund expected returns. We can calculate the autocorrelation of Bny Mellon returns to help us make a trade decision. For example, suppose you find that Bny Mellon has exhibited high autocorrelation historically, and you observe that the fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Bny Mellon regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Bny Mellon fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bny Mellon fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bny Mellon fund over time.
Current vs Lagged Prices |
Timeline |
Bny Mellon Lagged Returns
When evaluating Bny Mellon's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bny Mellon fund have on its future price. Bny Mellon autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Bny Mellon autocorrelation shows the relationship between Bny Mellon fund current value and its past values and can show if there is a momentum factor associated with investing in Bny Mellon Strategic.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetOther Information on Investing in Bny Fund
Bny Mellon financial ratios help investors to determine whether Bny 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.
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |