Bny Mellon Womens Etf Market Value
| BKWO Etf | 32.67 0.78 2.45% |
| Symbol | BNY |
The market value of BNY Mellon Womens is measured differently than its book value, which is the value of BNY that is recorded on the company's balance sheet. Investors also form their own opinion of BNY Mellon's value that differs from its market value or its book value, called intrinsic value, which is BNY Mellon's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because BNY Mellon's market value can be influenced by many factors that don't directly affect BNY Mellon's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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 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.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in BNY Mellon on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding BNY Mellon Womens or generate 0.0% return on investment in BNY Mellon over 90 days. BNY Mellon is related to or competes with Freedom Day, IShares MSCI, Tidal Trust, IShares Dividend, SmartETFs Dividend, Listed Funds, and Martin Currie. BNY Mellon is entity of United States. It is traded as Etf on NASDAQ exchange. 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 Womens upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 5.05 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 1.44 |
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 | (0.1) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.0004) | |||
| Treynor Ratio | (0.17) |
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 Womens Backtested Returns
BNY Mellon Womens secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the etf had a -0.11 % return per unit of volatility over the last 3 months. BNY Mellon Womens exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BNY Mellon's risk adjusted performance of (0.1), and Mean Deviation of 0.9095 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.87, which signifies possible diversification benefits within a given portfolio. BNY Mellon returns are very sensitive to returns on the market. As the market goes up or down, BNY Mellon is expected to follow.
Auto-correlation | -0.66 |
Very good reverse predictability
BNY Mellon Womens has very good reverse predictability. Overlapping area represents the amount of predictability between BNY Mellon time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Womens price movement. The serial correlation of -0.66 indicates that around 66.0% of current BNY Mellon price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 1.89 |
BNY Mellon Womens lagged returns against current returns
Autocorrelation, which is BNY Mellon etf'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 etf 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 etf 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BNY Mellon etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BNY Mellon etf 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 etf 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 etf current value and its past values and can show if there is a momentum factor associated with investing in BNY Mellon Womens.
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.Moving together with BNY Etf
| 0.99 | VTI | Vanguard Total Stock | PairCorr |
| 0.98 | SPY | SPDR SP 500 | PairCorr |
| 0.98 | IVV | iShares Core SP | PairCorr |
| 0.75 | VIG | Vanguard Dividend | PairCorr |
| 0.98 | VV | Vanguard Large Cap | PairCorr |
Moving against BNY Etf
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 Womens 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 Womens 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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.