Bny Mellon Income Fund Market Value
| BMIIX Fund | USD 7.61 0.05 0.66% |
| 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.
| 10/27/2023 |
| 04/24/2024 |
If you would invest 0.00 in Bny Mellon on October 27, 2023 and sell it all today you would earn a total of 0.00 from holding Bny Mellon Income or generate 0.0% return on investment in Bny Mellon over 180 days. Bny Mellon is related to or competes with Edgewood Growth, Hartford Schroders, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. The fund normally invests at least 80 percent of its net assets, plus any borrowings for investment purposes, in stocks 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 Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7033 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 3.0 | |||
| Value At Risk | (0.90) | |||
| Potential Upside | 0.8322 |
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 | 0.1018 | |||
| Jensen Alpha | 0.014 | |||
| Total Risk Alpha | 0.0059 | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.1023 |
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 Me Backtested Returns
We consider Bny Mellon very steady. Bny Mellon Me secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Bny Mellon Income, which you can use to evaluate the volatility of the entity. Please confirm Bny Mellon's Risk Adjusted Performance of 0.1018, mean deviation of 0.4428, and Downside Deviation of 0.7033 to double-check if the risk estimate we provide is consistent with the expected return of 0.0786%. The fund shows a Beta (market volatility) of 0.82, which signifies possible diversification benefits within a given portfolio. 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 | 0.88 |
Very good predictability
Bny Mellon Income has very good predictability. Overlapping area represents the amount of predictability between Bny Mellon time series from 27th of October 2023 to 25th of January 2024 and 25th of January 2024 to 24th of April 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 Me price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current Bny Mellon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Bny Mellon Me 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 Income.
Regressed Prices |
| Timeline |
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.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 Income 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 Me 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 Alpha and Beta 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 mutual fund 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, fund market cycles, or different charting patterns.