Bny Mellon National Fund Market Value

MINMX Fund  USD 13.08  0.02  0.15%   
Bny Mellon's market value is the price at which a share of Bny Mellon trades on a public exchange. It measures the collective expectations of Bny Mellon National investors about its performance. Bny Mellon is trading at 13.08 as of the 11th of December 2024; that is 0.15 percent down since the beginning of the trading day. The fund's open price was 13.1.
With this module, you can estimate the performance of a buy and hold strategy of Bny Mellon National and determine expected loss or profit from investing in Bny Mellon over a given investment horizon. Check out Bny Mellon Correlation, Bny Mellon Volatility and Bny Mellon Alpha and Beta module to complement your research on Bny Mellon.
Symbol

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.

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.
0.00
09/12/2024
No Change 0.00  0.0 
In 2 months and 31 days
12/11/2024
0.00
If you would invest  0.00  in Bny Mellon on September 12, 2024 and sell it all today you would earn a total of 0.00 from holding Bny Mellon National or generate 0.0% return on investment in Bny Mellon over 90 days. Bny Mellon is related to or competes with Financials Ultrasector, Davis Financial, Vanguard Financials, John Hancock, and Mesirow Financial. The investment seeks to maximize current income exempt from federal income tax to the extent consistent with the preserv... 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 National upside and downside potential and time the market with a certain degree of confidence.

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.
Hype
Prediction
LowEstimatedHigh
0.000.000.20
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.20
Details
Naive
Forecast
LowNextHigh
12.8713.0713.27
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
12.8012.9613.12
Details

Bny Mellon National Backtested Returns

At this stage we consider Bny Mutual Fund to be out of control. Bny Mellon National secures Sharpe Ratio (or Efficiency) of 0.0129, which signifies that the fund had a 0.0129% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Bny Mellon National, which you can use to evaluate the volatility of the entity. Please confirm Bny Mellon's Risk Adjusted Performance of (0.02), mean deviation of 0.1211, and Downside Deviation of 0.3023 to double-check if the risk estimate we provide is consistent with the expected return of 0.0026%. The fund shows a Beta (market volatility) of 0.0236, 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

    
  -0.74  

Almost perfect reverse predictability

Bny Mellon National has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Bny Mellon time series from 12th of September 2024 to 27th of October 2024 and 27th of October 2024 to 11th of December 2024. 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 National price movement. The serial correlation of -0.74 indicates that around 74.0% of current Bny Mellon price fluctuation can be explain by its past prices.
Correlation Coefficient-0.74
Spearman Rank Test-0.69
Residual Average0.0
Price Variance0.01

Bny Mellon National lagged returns against current returns

Autocorrelation, which is Bny Mellon mutual 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 mutual 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 mutual 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bny Mellon mutual 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 mutual 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 mutual 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 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Bny Mellon National.
   Regressed Prices   
       Timeline  

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.
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum