Tcw Etf Trust Etf Market Value
| GRW Etf | 38.97 0.09 0.23% |
| Symbol | TCW |
The market value of TCW ETF Trust is measured differently than its book value, which is the value of TCW that is recorded on the company's balance sheet. Investors also form their own opinion of TCW ETF's value that differs from its market value or its book value, called intrinsic value, which is TCW 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 TCW ETF's market value can be influenced by many factors that don't directly affect TCW 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 TCW ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if TCW ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TCW 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.
TCW 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 TCW 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 TCW ETF.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in TCW ETF on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding TCW ETF Trust or generate 0.0% return on investment in TCW ETF over 30 days. TCW ETF is related to or competes with FT Vest, Northern Lights, Dimensional International, Matthews China, Davis Select, First Trust, and EA Series. TCW ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
TCW 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 TCW 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 TCW ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7911 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.56 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.27 |
TCW ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TCW ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TCW ETF's standard deviation. In reality, there are many statistical measures that can use TCW ETF historical prices to predict the future TCW ETF's volatility.| Risk Adjusted Performance | 0.1204 | |||
| Jensen Alpha | 0.0082 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.138 |
TCW ETF Trust Backtested Returns
At this stage we consider TCW Etf to be very steady. TCW ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the etf had a 0.16% return per unit of risk over the last 3 months. We have found thirty technical indicators for TCW ETF Trust, which you can use to evaluate the volatility of the entity. Please validate TCW ETF's market risk adjusted performance of 0.148, and Downside Deviation of 0.7911 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. The entity has a beta of 0.79, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, TCW ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding TCW ETF is expected to be smaller as well.
Auto-correlation | 0.98 |
Excellent predictability
TCW ETF Trust has excellent predictability. Overlapping area represents the amount of predictability between TCW ETF time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 TCW ETF Trust price movement. The serial correlation of 0.98 indicates that 98.0% of current TCW ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.98 | |
| Spearman Rank Test | 0.9 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
TCW ETF Trust lagged returns against current returns
Autocorrelation, which is TCW 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 TCW ETF's etf expected returns. We can calculate the autocorrelation of TCW ETF returns to help us make a trade decision. For example, suppose you find that TCW 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 |
TCW 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 TCW ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TCW ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TCW ETF etf over time.
Current vs Lagged Prices |
| Timeline |
TCW ETF Lagged Returns
When evaluating TCW ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TCW ETF etf have on its future price. TCW 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, TCW ETF autocorrelation shows the relationship between TCW ETF etf current value and its past values and can show if there is a momentum factor associated with investing in TCW ETF Trust.
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.When determining whether TCW ETF Trust is a strong investment it is important to analyze TCW ETF'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 TCW ETF's future performance. For an informed investment choice regarding TCW Etf, refer to the following important reports:Check out TCW ETF Correlation, TCW ETF Volatility and TCW ETF Alpha and Beta module to complement your research on TCW ETF. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
TCW 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.