Tcw Etf Trust Etf Market Value
| IGCB Etf | 45.88 0.27 0.59% |
| Symbol | TCW |
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.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in TCW ETF on October 31, 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 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.
| Information Ratio | 0.0545 | |||
| Maximum Drawdown | 0.9921 | |||
| Value At Risk | (0.15) | |||
| Potential Upside | 0.9484 |
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 | 0.3266 | |||
| Jensen Alpha | 0.1489 | |||
| Total Risk Alpha | 0.0877 | |||
| Treynor Ratio | (9.80) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of TCW ETF'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.
TCW ETF Trust Backtested Returns
At this point, TCW ETF is very steady. TCW ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.3, which indicates the etf had a 0.3% return per unit of risk over the last 3 months. We have found twenty-one 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 (9.79), and Standard Deviation of 0.3547 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. The entity has a beta of -0.015, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning TCW ETF are expected to decrease at a much lower rate. During the bear market, TCW ETF is likely to outperform the market.
Auto-correlation | 0.00 |
No correlation between past and present
TCW ETF Trust has no correlation between past and present. Overlapping area represents the amount of predictability between TCW ETF time series from 31st of October 2024 to 15th of November 2024 and 15th of November 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 TCW ETF Trust price movement. The serial correlation of 0.0 indicates that just 0.0% of current TCW ETF 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 |
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 |