Tcw Artificial Intelligence Fund Market Value
| TGFTX Fund | USD 25.09 0.45 1.83% |
| Symbol | Tcw |
Tcw Artificial '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 Artificial's mutual fund 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 Artificial.
| 02/12/2024 |
| 05/12/2024 |
If you would invest 0.00 in Tcw Artificial on February 12, 2024 and sell it all today you would earn a total of 0.00 from holding Tcw Artificial Intelligence or generate 0.0% return on investment in Tcw Artificial over 90 days. Tcw Artificial is related to or competes with Red Oak, Live Oak, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. The fund normally invests at least 80 percent of the value of its net assets, plus any borrowings for investment purpose... More
Tcw Artificial 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 Artificial's mutual fund 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 Artificial Intelligence upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.49 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 7.54 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 2.14 |
Tcw Artificial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tcw Artificial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tcw Artificial's standard deviation. In reality, there are many statistical measures that can use Tcw Artificial historical prices to predict the future Tcw Artificial's volatility.| Risk Adjusted Performance | 0.0335 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0392 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tcw Artificial'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 Artificial Intel Backtested Returns
We consider Tcw Artificial very steady. Tcw Artificial Intel owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0249, which indicates the fund had a 0.0249% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Tcw Artificial Intelligence, which you can use to evaluate the volatility of the fund. Please validate Tcw Artificial's Semi Deviation of 1.29, coefficient of variation of 2225.46, and Risk Adjusted Performance of 0.0335 to confirm if the risk estimate we provide is consistent with the expected return of 0.036%. The entity has a beta of 1.4, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Tcw Artificial will likely underperform.
Auto-correlation | -0.38 |
Poor reverse predictability
Tcw Artificial Intelligence has poor reverse predictability. Overlapping area represents the amount of predictability between Tcw Artificial time series from 12th of February 2024 to 28th of March 2024 and 28th of March 2024 to 12th of May 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 Artificial Intel price movement. The serial correlation of -0.38 indicates that just about 38.0% of current Tcw Artificial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Tcw Artificial Intel lagged returns against current returns
Autocorrelation, which is Tcw Artificial mutual fund'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 Artificial's mutual fund expected returns. We can calculate the autocorrelation of Tcw Artificial returns to help us make a trade decision. For example, suppose you find that Tcw Artificial has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
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Tcw Artificial 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 Artificial mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tcw Artificial mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tcw Artificial mutual fund over time.
Current vs Lagged Prices |
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Tcw Artificial Lagged Returns
When evaluating Tcw Artificial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tcw Artificial mutual fund have on its future price. Tcw Artificial 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 Artificial autocorrelation shows the relationship between Tcw Artificial mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Tcw Artificial Intelligence.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Tcw Artificial in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Tcw Artificial's short interest history, or implied volatility extrapolated from Tcw Artificial options trading.
Currently Active Assets on Macroaxis
Check out Tcw Artificial Correlation, Tcw Artificial Volatility and Tcw Artificial Alpha and Beta module to complement your research on Tcw Artificial. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Tcw Artificial technical mutual fund 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, fund market cycles, or different charting patterns.