Global X Short Term Etf Market Value
| SLDR Etf | USD 49.97 0.01 0.02% |
| Symbol | Global |
The market value of Global X Short 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.
| 12/22/2022 |
| 12/11/2024 |
If you would invest 0.00 in Global X on December 22, 2022 and sell it all today you would earn a total of 0.00 from holding Global X Short Term or generate 0.0% return on investment in Global X over 720 days. Global X is related to or competes with Vanguard Intermediate, Vanguard Long, Vanguard Short, Vanguard Short, and Vanguard Mortgage. Global X is entity of United States. It is traded as Etf on NYSE ARCA exchange. 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 Short Term upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0654 | |||
| Information Ratio | (1.92) | |||
| Maximum Drawdown | 0.3612 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1006 |
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 | (0.04) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (1.81) | |||
| Treynor Ratio | (0.67) |
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 Short Backtested Returns
Currently, Global X Short Term is very steady. Global X Short holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Global X Short, which you can use to evaluate the volatility of the entity. Please check out Global X's Risk Adjusted Performance of (0.04), market risk adjusted performance of (0.66), and Coefficient Of Variation of 1035.45 to validate if the risk estimate we provide is consistent with the expected return of 0.0067%. The etf retains a Market Volatility (i.e., Beta) of 0.006, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Global X's returns are expected to increase less than the market. However, during the bear market, the loss of holding Global X is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
Global X Short Term has no correlation between past and present. Overlapping area represents the amount of predictability between Global X time series from 22nd of December 2022 to 17th of December 2023 and 17th of December 2023 to 11th 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 Global X Short price movement. The serial correlation of 0.0 indicates that just 0.0% of current Global X 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 |
Global X Short 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 Short Term.
Regressed Prices |
| Timeline |
Pair Trading with Global X
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Global X position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Global X will appreciate offsetting losses from the drop in the long position's value.Moving together with Global Etf
| 0.71 | SHY | iShares 1 3 Sell-off Trend | PairCorr |
| 0.78 | LMBS | First Trust Low | PairCorr |
| 0.73 | SPTS | SPDR Barclays Short | PairCorr |
| 0.64 | AGZ | iShares Agency Bond | PairCorr |
| 0.61 | FTSD | Franklin Liberty Short | PairCorr |
The ability to find closely correlated positions to Global X could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Global X when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Global X - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Global X Short Term to buy it.
The correlation of Global X is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Global X moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Global X Short moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Global X can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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.