New York Life Etf Market Value
| MMSD Etf | 25.23 0.02 0.08% |
| Symbol | New |
New York '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 New York'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 New York.
| 04/20/2025 |
| 07/19/2025 |
If you would invest 0.00 in New York on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding New York Life or generate 0.0% return on investment in New York over 90 days.
New York 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 New York'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 New York Life upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1348 | |||
| Information Ratio | (1.14) | |||
| Maximum Drawdown | 0.562 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.1996 |
New York Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for New York's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as New York's standard deviation. In reality, there are many statistical measures that can use New York historical prices to predict the future New York's volatility.| Risk Adjusted Performance | 0.1326 | |||
| Jensen Alpha | 0.0111 | |||
| Total Risk Alpha | (0.0009) | |||
| Sortino Ratio | (0.87) | |||
| Treynor Ratio | 0.7423 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New York'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.
New York Life Backtested Returns
At this point, New York is very steady. New York Life has Sharpe Ratio of 0.23, which conveys that the entity had a 0.23 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for New York, which you can use to evaluate the volatility of the etf. Please verify New York's Coefficient Of Variation of 437.79, mean deviation of 0.0745, and Risk Adjusted Performance of 0.1326 to check out if the risk estimate we provide is consistent with the expected return of 0.0235%. The etf secures a Beta (Market Risk) of 0.0182, which conveys not very significant fluctuations relative to the market. As returns on the market increase, New York's returns are expected to increase less than the market. However, during the bear market, the loss of holding New York is expected to be smaller as well.
Auto-correlation | 0.71 |
Good predictability
New York Life has good predictability. Overlapping area represents the amount of predictability between New York time series from 20th of April 2025 to 4th of June 2025 and 4th of June 2025 to 19th of July 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 New York Life price movement. The serial correlation of 0.71 indicates that around 71.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
New York Life lagged returns against current returns
Autocorrelation, which is New York 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 New York's etf expected returns. We can calculate the autocorrelation of New York returns to help us make a trade decision. For example, suppose you find that New York 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 |
New York 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 New York etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if New York etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in New York etf over time.
Current vs Lagged Prices |
| Timeline |
New York Lagged Returns
When evaluating New York's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of New York etf have on its future price. New York 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, New York autocorrelation shows the relationship between New York etf current value and its past values and can show if there is a momentum factor associated with investing in New York Life.
Regressed Prices |
| Timeline |