Global X Adaptive Etf Market Value
| AUSF Etf | USD 44.95 0.14 0.31% |
| Symbol | Global |
The market value of Global X Adaptive is measured differently than its book value, which is the value of Global that is recorded on the company's balance sheet. Investors also form their own opinion of Global X's value that differs from its market value or its book value, called intrinsic value, which is Global X'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 Global X's market value can be influenced by many factors that don't directly affect Global X'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 Global X's value and its price as these two are different measures arrived at by different means. Investors typically determine if Global X is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Global X'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.
Global X '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 Global X'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 Global X.
| 09/01/2024 |
| 11/30/2024 |
If you would invest 0.00 in Global X on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding Global X Adaptive or generate 0.0% return on investment in Global X over 90 days. Global X is related to or competes with Vanguard Mid, SPDR SP, Pacer Cash, IShares SP, WisdomTree MidCap, SPDR SP, and SPDR Russell. The fund invests at least 80 percent of its total assets in the securities of the index More
Global X 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 Global X'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 Global X Adaptive upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5309 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 4.32 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 1.25 |
Global X Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Global X's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Global X's standard deviation. In reality, there are many statistical measures that can use Global X historical prices to predict the future Global X's volatility.| Risk Adjusted Performance | 0.1181 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.1239 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Global X'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.
Global X Adaptive Backtested Returns
At this point, Global X is very steady. Global X Adaptive holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15% return per unit of risk over the last 3 months. We have found thirty technical indicators for Global X Adaptive, which you can use to evaluate the volatility of the entity. Please check out Global X's Downside Deviation of 0.5309, market risk adjusted performance of 0.1339, and Risk Adjusted Performance of 0.1181 to validate if the risk estimate we provide is consistent with the expected return of 0.11%. The etf retains a Market Volatility (i.e., Beta) of 0.87, which attests to possible diversification benefits within a given portfolio. Global X returns are very sensitive to returns on the market. As the market goes up or down, Global X is expected to follow.
Auto-correlation | 0.70 |
Good predictability
Global X Adaptive has good predictability. Overlapping area represents the amount of predictability between Global X time series from 1st of September 2024 to 16th of October 2024 and 16th of October 2024 to 30th of November 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 Global X Adaptive price movement. The serial correlation of 0.7 indicates that around 70.0% of current Global X price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.66 |
Global X Adaptive lagged returns against current returns
Autocorrelation, which is Global X 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 Global X's etf expected returns. We can calculate the autocorrelation of Global X returns to help us make a trade decision. For example, suppose you find that Global X 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 |
Global X 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 Global X etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Global X etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Global X etf over time.
Current vs Lagged Prices |
| Timeline |
Global X Lagged Returns
When evaluating Global X's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Global X etf have on its future price. Global X 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, Global X autocorrelation shows the relationship between Global X etf current value and its past values and can show if there is a momentum factor associated with investing in Global X Adaptive.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Global X Adaptive is a strong investment it is important to analyze Global X's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Global X's future performance. For an informed investment choice regarding Global Etf, refer to the following important reports:Check out Global X Correlation, Global X Volatility and Global X Alpha and Beta module to complement your research on Global X. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Global X 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.