New York's market value is the price at which a share of New York trades on a public exchange. It measures the collective expectations of New York Life investors about its performance. New York is trading at 25.07 as of the 2nd of January 2026, a 0.04 percent down since the beginning of the trading day. The etf's open price was 25.08. With this module, you can estimate the performance of a buy and hold strategy of New York Life and determine expected loss or profit from investing in New York over a given investment horizon. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in industry.
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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.
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10/04/2025
No Change 0.00
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In 2 months and 31 days
01/02/2026
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If you would invest 0.00 in New York on October 4, 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.
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.
At this point, New York is very steady. New York Life has Sharpe Ratio of 0.1, which conveys that the entity had a 0.1 % return per unit of risk over the last 3 months. We have found eighteen 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 955.89, variance of 0.0195, and Risk Adjusted Performance of 0.0333 to check out if the risk estimate we provide is consistent with the expected return of 0.0146%. The etf secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and New York are completely uncorrelated.
Auto-correlation
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No correlation between past and present
New York Life has no correlation between past and present. Overlapping area represents the amount of predictability between New York time series from 4th of October 2025 to 18th of November 2025 and 18th of November 2025 to 2nd of January 2026. 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 0.0 indicates that just 0.0% of current New York price fluctuation can be explain by its past prices.
Correlation Coefficient
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Spearman Rank Test
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Residual Average
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Price Variance
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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
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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
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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
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.