Xtrackers California Municipal Etf Market Value
CA Etf | USD 24.89 0.02 0.08% |
Symbol | Xtrackers |
The market value of Xtrackers California is measured differently than its book value, which is the value of Xtrackers that is recorded on the company's balance sheet. Investors also form their own opinion of Xtrackers California's value that differs from its market value or its book value, called intrinsic value, which is Xtrackers California'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 Xtrackers California's market value can be influenced by many factors that don't directly affect Xtrackers California'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 Xtrackers California's value and its price as these two are different measures arrived at by different means. Investors typically determine if Xtrackers California is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xtrackers California'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.
Xtrackers California '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 Xtrackers California'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 Xtrackers California.
01/01/2025 |
| 01/31/2025 |
If you would invest 0.00 in Xtrackers California on January 1, 2025 and sell it all today you would earn a total of 0.00 from holding Xtrackers California Municipal or generate 0.0% return on investment in Xtrackers California over 30 days. Xtrackers California is related to or competes with VanEck Vectors, Valued Advisers, Principal Exchange, Vanguard ESG, PIMCO Enhanced, and Vanguard Intermediate. CA, Inc., doing business as CA technologies, develops, markets, delivers, and licenses software products and services in... More
Xtrackers California 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 Xtrackers California'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 Xtrackers California Municipal upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.3757 | |||
Information Ratio | (0.29) | |||
Maximum Drawdown | 1.41 | |||
Value At Risk | (0.52) | |||
Potential Upside | 0.4785 |
Xtrackers California Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xtrackers California's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xtrackers California's standard deviation. In reality, there are many statistical measures that can use Xtrackers California historical prices to predict the future Xtrackers California's volatility.Risk Adjusted Performance | 0.014 | |||
Jensen Alpha | (0) | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.24) | |||
Treynor Ratio | 0.0254 |
Xtrackers California Backtested Returns
Xtrackers California shows Sharpe Ratio of close to zero, which attests that the etf had a close to zero % return per unit of risk over the last 3 months. Xtrackers California exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Xtrackers California's Downside Deviation of 0.3757, market risk adjusted performance of 0.0354, and Mean Deviation of 0.2206 to validate the risk estimate we provide. The entity maintains a market beta of 0.0574, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Xtrackers California's returns are expected to increase less than the market. However, during the bear market, the loss of holding Xtrackers California is expected to be smaller as well.
Auto-correlation | -0.66 |
Very good reverse predictability
Xtrackers California Municipal has very good reverse predictability. Overlapping area represents the amount of predictability between Xtrackers California time series from 1st of January 2025 to 16th of January 2025 and 16th of January 2025 to 31st of January 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 Xtrackers California price movement. The serial correlation of -0.66 indicates that around 66.0% of current Xtrackers California price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.66 | |
Spearman Rank Test | -0.59 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Xtrackers California lagged returns against current returns
Autocorrelation, which is Xtrackers California 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 Xtrackers California's etf expected returns. We can calculate the autocorrelation of Xtrackers California returns to help us make a trade decision. For example, suppose you find that Xtrackers California 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 |
Xtrackers California 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 Xtrackers California etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xtrackers California etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xtrackers California etf over time.
Current vs Lagged Prices |
Timeline |
Xtrackers California Lagged Returns
When evaluating Xtrackers California's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xtrackers California etf have on its future price. Xtrackers California 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, Xtrackers California autocorrelation shows the relationship between Xtrackers California etf current value and its past values and can show if there is a momentum factor associated with investing in Xtrackers California Municipal.
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.Check out Xtrackers California Correlation, Xtrackers California Volatility and Xtrackers California Alpha and Beta module to complement your research on Xtrackers California. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Xtrackers California 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.