Northern Trust Short Term Etf Market Value
| TAXS Etf | 50.29 0.02 0.04% |
| Symbol | Northern |
The market value of Northern Trust Short is measured differently than its book value, which is the value of Northern that is recorded on the company's balance sheet. Investors also form their own opinion of Northern Trust's value that differs from its market value or its book value, called intrinsic value, which is Northern Trust'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 Northern Trust's market value can be influenced by many factors that don't directly affect Northern Trust'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 Northern Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if Northern Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Northern Trust'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.
Northern Trust '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 Northern Trust'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 Northern Trust.
| 01/01/2025 |
| 12/27/2025 |
If you would invest 0.00 in Northern Trust on January 1, 2025 and sell it all today you would earn a total of 0.00 from holding Northern Trust Short Term or generate 0.0% return on investment in Northern Trust over 360 days. Northern Trust is related to or competes with Northern Trust, AdvisorShares Vice, Innovator ETFs, Invesco High, Harbor ETF, and ProShares Long. Northern Trust is entity of United States More
Northern Trust 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 Northern Trust'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 Northern Trust Short Term upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0509 | |||
| Information Ratio | (1.58) | |||
| Maximum Drawdown | 0.2398 | |||
| Value At Risk | (0.06) | |||
| Potential Upside | 0.0799 |
Northern Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Northern Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Northern Trust's standard deviation. In reality, there are many statistical measures that can use Northern Trust historical prices to predict the future Northern Trust's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (1.50) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Northern Trust'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.
Northern Trust Short Backtested Returns
Currently, Northern Trust Short Term is very steady. Northern Trust Short has Sharpe Ratio of 0.32, which conveys that the entity had a 0.32 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Northern Trust, which you can use to evaluate the volatility of the etf. Please verify Northern Trust's Coefficient Of Variation of 552.64, mean deviation of 0.0355, and Risk Adjusted Performance of (0.01) to check out if the risk estimate we provide is consistent with the expected return of 0.0139%. The etf secures a Beta (Market Risk) of 0.0132, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Northern Trust's returns are expected to increase less than the market. However, during the bear market, the loss of holding Northern Trust is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
Northern Trust Short Term has no correlation between past and present. Overlapping area represents the amount of predictability between Northern Trust time series from 1st of January 2025 to 30th of June 2025 and 30th of June 2025 to 27th of December 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 Northern Trust Short price movement. The serial correlation of 0.0 indicates that just 0.0% of current Northern Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Northern Trust Short lagged returns against current returns
Autocorrelation, which is Northern Trust 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 Northern Trust's etf expected returns. We can calculate the autocorrelation of Northern Trust returns to help us make a trade decision. For example, suppose you find that Northern Trust 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 |
Northern Trust 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 Northern Trust etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Northern Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Northern Trust etf over time.
Current vs Lagged Prices |
| Timeline |
Northern Trust Lagged Returns
When evaluating Northern Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Northern Trust etf have on its future price. Northern Trust 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, Northern Trust autocorrelation shows the relationship between Northern Trust etf current value and its past values and can show if there is a momentum factor associated with investing in Northern Trust Short Term.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Northern Trust Correlation, Northern Trust Volatility and Northern Trust Alpha and Beta module to complement your research on Northern Trust. For more information on how to buy Northern Etf please use our How to Invest in Northern Trust guide.You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Northern Trust 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.