Neos Etf Trust Etf Market Value
NUSI Etf | USD 26.40 0.20 0.76% |
Symbol | NEOS |
The market value of NEOS ETF Trust is measured differently than its book value, which is the value of NEOS that is recorded on the company's balance sheet. Investors also form their own opinion of NEOS ETF's value that differs from its market value or its book value, called intrinsic value, which is NEOS ETF'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 NEOS ETF's market value can be influenced by many factors that don't directly affect NEOS ETF'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 NEOS ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if NEOS ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, NEOS ETF'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.
NEOS ETF '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 NEOS ETF'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 NEOS ETF.
11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in NEOS ETF on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding NEOS ETF Trust or generate 0.0% return on investment in NEOS ETF over 30 days. NEOS ETF is related to or competes with Global X, JPMorgan Equity, and Amplify CWP. The fund is an actively-managed exchange-traded fund that seeks to achieve its investment objective principally by inves... More
NEOS ETF 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 NEOS ETF'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 NEOS ETF Trust upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7834 | |||
Information Ratio | 0.0728 | |||
Maximum Drawdown | 4.32 | |||
Value At Risk | (1.50) | |||
Potential Upside | 0.8281 |
NEOS ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NEOS ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NEOS ETF's standard deviation. In reality, there are many statistical measures that can use NEOS ETF historical prices to predict the future NEOS ETF's volatility.Risk Adjusted Performance | 0.0941 | |||
Jensen Alpha | 0.0581 | |||
Total Risk Alpha | 0.0519 | |||
Sortino Ratio | 0.0617 | |||
Treynor Ratio | 0.1255 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of NEOS ETF'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.
NEOS ETF Trust Backtested Returns
NEOS ETF is very steady at the moment. NEOS ETF Trust has Sharpe Ratio of 0.12, which conveys that the entity had a 0.12% return per unit of volatility over the last 3 months. We have found thirty technical indicators for NEOS ETF, which you can use to evaluate the volatility of the etf. Please verify NEOS ETF's mean deviation of 0.4583, and Risk Adjusted Performance of 0.0941 to check out if the risk estimate we provide is consistent with the expected return of 0.0805%. The etf secures a Beta (Market Risk) of 0.56, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, NEOS ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding NEOS ETF is expected to be smaller as well.
Auto-correlation | -0.29 |
Weak reverse predictability
NEOS ETF Trust has weak reverse predictability. Overlapping area represents the amount of predictability between NEOS ETF time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd of December 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 NEOS ETF Trust price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current NEOS ETF price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.29 | |
Spearman Rank Test | -0.24 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
NEOS ETF Trust lagged returns against current returns
Autocorrelation, which is NEOS ETF 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 NEOS ETF's etf expected returns. We can calculate the autocorrelation of NEOS ETF returns to help us make a trade decision. For example, suppose you find that NEOS ETF 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 |
NEOS ETF 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 NEOS ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NEOS ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NEOS ETF etf over time.
Current vs Lagged Prices |
Timeline |
NEOS ETF Lagged Returns
When evaluating NEOS ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NEOS ETF etf have on its future price. NEOS ETF 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, NEOS ETF autocorrelation shows the relationship between NEOS ETF etf current value and its past values and can show if there is a momentum factor associated with investing in NEOS ETF Trust.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether NEOS ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of NEOS ETF's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Neos Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Neos Etf Trust Etf:Check out NEOS ETF Correlation, NEOS ETF Volatility and NEOS ETF Alpha and Beta module to complement your research on NEOS ETF. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
NEOS ETF 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.