X Square Balanced Etf Market Value
| SQBIX Etf | USD 14.43 0.01 0.07% |
| Symbol | SQBIX |
The market value of X Square Balanced is measured differently than its book value, which is the value of SQBIX that is recorded on the company's balance sheet. Investors also form their own opinion of X Square's value that differs from its market value or its book value, called intrinsic value, which is X Square'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 X Square's market value can be influenced by many factors that don't directly affect X Square'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 X Square's value and its price as these two are different measures arrived at by different means. Investors typically determine if X Square is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, X Square'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.
X Square '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 X Square'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 X Square.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in X Square on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding X Square Balanced or generate 0.0% return on investment in X Square over 30 days. X Square is related to or competes with FT Vest, Zillow Group, Northern Lights, VanEck Vectors, Freedom Day, SSGA Active, and SPDR Nuveen. The fund uses a balanced approach to invest in a broad range of securities, including common stocks and investment-grade... More
X Square 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 X Square'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 X Square Balanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4948 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 2.07 | |||
| Value At Risk | (0.77) | |||
| Potential Upside | 0.9644 |
X Square Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for X Square's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as X Square's standard deviation. In reality, there are many statistical measures that can use X Square historical prices to predict the future X Square's volatility.| Risk Adjusted Performance | 0.1238 | |||
| Jensen Alpha | 0.0627 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.6377 |
X Square Balanced Backtested Returns
At this stage we consider SQBIX Etf to be very steady. X Square Balanced shows Sharpe Ratio of 0.18, which attests that the etf had a 0.18% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for X Square Balanced, which you can use to evaluate the volatility of the entity. Please check out X Square's Mean Deviation of 0.4114, downside deviation of 0.4948, and Market Risk Adjusted Performance of 0.6477 to validate if the risk estimate we provide is consistent with the expected return of 0.0931%. The entity maintains a market beta of 0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, X Square's returns are expected to increase less than the market. However, during the bear market, the loss of holding X Square is expected to be smaller as well.
Auto-correlation | 0.96 |
Excellent predictability
X Square Balanced has excellent predictability. Overlapping area represents the amount of predictability between X Square time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 X Square Balanced price movement. The serial correlation of 0.96 indicates that 96.0% of current X Square price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.96 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
X Square Balanced lagged returns against current returns
Autocorrelation, which is X Square 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 X Square's etf expected returns. We can calculate the autocorrelation of X Square returns to help us make a trade decision. For example, suppose you find that X Square 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 |
X Square 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 X Square etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if X Square etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in X Square etf over time.
Current vs Lagged Prices |
| Timeline |
X Square Lagged Returns
When evaluating X Square's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of X Square etf have on its future price. X Square 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, X Square autocorrelation shows the relationship between X Square etf current value and its past values and can show if there is a momentum factor associated with investing in X Square Balanced.
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.Other Information on Investing in SQBIX Etf
X Square financial ratios help investors to determine whether SQBIX Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SQBIX with respect to the benefits of owning X Square security.