Transamerica Cleartrack Retirement Fund Market Value
TCTZX Fund | USD 7.69 0.01 0.13% |
Symbol | Transamerica |
Transamerica Cleartrack '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 Transamerica Cleartrack'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 Transamerica Cleartrack.
01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Transamerica Cleartrack on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Transamerica Cleartrack Retirement or generate 0.0% return on investment in Transamerica Cleartrack over 90 days. Transamerica Cleartrack is related to or competes with Vanguard Target, Blackrock Lifepath, and Blackrock Lfpth. The fund is a fund of funds it invests in a combination of actively managed Transamerica funds and index-based exchange-... More
Transamerica Cleartrack 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 Transamerica Cleartrack'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 Transamerica Cleartrack Retirement upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4619 | |||
Information Ratio | (0.17) | |||
Maximum Drawdown | 1.94 | |||
Value At Risk | (0.65) | |||
Potential Upside | 0.6527 |
Transamerica Cleartrack Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Transamerica Cleartrack's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Transamerica Cleartrack's standard deviation. In reality, there are many statistical measures that can use Transamerica Cleartrack historical prices to predict the future Transamerica Cleartrack's volatility.Risk Adjusted Performance | 0.0362 | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.15) | |||
Treynor Ratio | 0.029 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Transamerica Cleartrack'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.
Transamerica Cleartrack Backtested Returns
We consider Transamerica Cleartrack very steady. Transamerica Cleartrack owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0439, which indicates the fund had a 0.0439% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Transamerica Cleartrack Retirement, which you can use to evaluate the volatility of the fund. Please validate Transamerica Cleartrack's Semi Deviation of 0.339, risk adjusted performance of 0.0362, and Coefficient Of Variation of 1481.83 to confirm if the risk estimate we provide is consistent with the expected return of 0.0177%. The entity has a beta of 0.57, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Transamerica Cleartrack's returns are expected to increase less than the market. However, during the bear market, the loss of holding Transamerica Cleartrack is expected to be smaller as well.
Auto-correlation | -0.83 |
Excellent reverse predictability
Transamerica Cleartrack Retirement has excellent reverse predictability. Overlapping area represents the amount of predictability between Transamerica Cleartrack time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th of April 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 Transamerica Cleartrack price movement. The serial correlation of -0.83 indicates that around 83.0% of current Transamerica Cleartrack price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.83 | |
Spearman Rank Test | -0.38 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Transamerica Cleartrack lagged returns against current returns
Autocorrelation, which is Transamerica Cleartrack 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 Transamerica Cleartrack's mutual fund expected returns. We can calculate the autocorrelation of Transamerica Cleartrack returns to help us make a trade decision. For example, suppose you find that Transamerica Cleartrack 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 |
Timeline |
Transamerica Cleartrack 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 Transamerica Cleartrack mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Transamerica Cleartrack mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Transamerica Cleartrack mutual fund over time.
Current vs Lagged Prices |
Timeline |
Transamerica Cleartrack Lagged Returns
When evaluating Transamerica Cleartrack's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Transamerica Cleartrack mutual fund have on its future price. Transamerica Cleartrack 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, Transamerica Cleartrack autocorrelation shows the relationship between Transamerica Cleartrack mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Transamerica Cleartrack Retirement.
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 Transamerica Cleartrack 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, Transamerica Cleartrack's short interest history, or implied volatility extrapolated from Transamerica Cleartrack options trading.
Currently Active Assets on Macroaxis
Check out Transamerica Cleartrack Correlation, Transamerica Cleartrack Volatility and Transamerica Cleartrack Alpha and Beta module to complement your research on Transamerica Cleartrack. Note that the Transamerica Cleartrack information on this page should be used as a complementary analysis to other Transamerica Cleartrack's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Transamerica Cleartrack 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.