Transamerica Dividend Focused Fund Market Value
TDFIX Fund | USD 8.11 0.04 0.50% |
Symbol | Transamerica |
Transamerica Dividend '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 Dividend'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 Dividend.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Transamerica Dividend on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding Transamerica Dividend Focused or generate 0.0% return on investment in Transamerica Dividend over 720 days. Transamerica Dividend is related to or competes with Mfs Technology, Specialized Technology, Janus Global, Vanguard Information, and Franklin Biotechnology. The funds sub-adviser deploys an active strategy that generally invests in large and middle U.S More
Transamerica Dividend 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 Dividend'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 Dividend Focused upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.6451 | |||
Information Ratio | 0.0244 | |||
Maximum Drawdown | 2.65 | |||
Value At Risk | (0.76) | |||
Potential Upside | 1.08 |
Transamerica Dividend Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Transamerica Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Transamerica Dividend's standard deviation. In reality, there are many statistical measures that can use Transamerica Dividend historical prices to predict the future Transamerica Dividend's volatility.Risk Adjusted Performance | 0.1381 | |||
Jensen Alpha | 0.1501 | |||
Total Risk Alpha | 0.0034 | |||
Sortino Ratio | 0.0229 | |||
Treynor Ratio | (1.67) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Transamerica Dividend'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 Dividend Backtested Returns
We consider Transamerica Dividend very steady. Transamerica Dividend owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.25, which indicates the fund had a 0.25% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Transamerica Dividend Focused, which you can use to evaluate the volatility of the fund. Please validate Transamerica Dividend's Risk Adjusted Performance of 0.1381, coefficient of variation of 404.91, and Semi Deviation of 0.3182 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. The entity has a beta of -0.0837, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Transamerica Dividend are expected to decrease at a much lower rate. During the bear market, Transamerica Dividend is likely to outperform the market.
Auto-correlation | 0.33 |
Below average predictability
Transamerica Dividend Focused has below average predictability. Overlapping area represents the amount of predictability between Transamerica Dividend time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th of March 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 Dividend price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Transamerica Dividend price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.33 | |
Spearman Rank Test | 0.08 | |
Residual Average | 0.0 | |
Price Variance | 0.15 |
Transamerica Dividend lagged returns against current returns
Autocorrelation, which is Transamerica Dividend 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 Dividend's mutual fund expected returns. We can calculate the autocorrelation of Transamerica Dividend returns to help us make a trade decision. For example, suppose you find that Transamerica Dividend 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 Dividend 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 Dividend mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Transamerica Dividend 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 Dividend mutual fund over time.
Current vs Lagged Prices |
Timeline |
Transamerica Dividend Lagged Returns
When evaluating Transamerica Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Transamerica Dividend mutual fund have on its future price. Transamerica Dividend 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 Dividend autocorrelation shows the relationship between Transamerica Dividend mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Transamerica Dividend Focused.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Transamerica Dividend Correlation, Transamerica Dividend Volatility and Transamerica Dividend Alpha and Beta module to complement your research on Transamerica Dividend. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Complementary Tools for Transamerica Mutual Fund analysis
When running Transamerica Dividend's price analysis, check to measure Transamerica Dividend's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Transamerica Dividend is operating at the current time. Most of Transamerica Dividend's value examination focuses on studying past and present price action to predict the probability of Transamerica Dividend's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Transamerica Dividend's price. Additionally, you may evaluate how the addition of Transamerica Dividend to your portfolios can decrease your overall portfolio volatility.
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Transamerica Dividend 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.