Df Dent Small Fund Market Value
| DFDSX Fund | USD 22.37 0.10 0.45% |
| Symbol | DFDSX |
Df Dent '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 Df Dent'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 Df Dent.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Df Dent on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Df Dent Small or generate 0.0% return on investment in Df Dent over 30 days. Df Dent is related to or competes with Fidelity Advisor, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, Via Renewables, and T Rowe. Under normal market conditions, the fund invests at least 80 percent of its net assets in equity securities with small m... More
Df Dent 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 Df Dent'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 Df Dent Small upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.21 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 5.13 | |||
| Value At Risk | (1.80) | |||
| Potential Upside | 1.8 |
Df Dent Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Df Dent's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Df Dent's standard deviation. In reality, there are many statistical measures that can use Df Dent historical prices to predict the future Df Dent's volatility.| Risk Adjusted Performance | 0.0283 | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0216 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Df Dent'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.
Df Dent Small Backtested Returns
We consider Df Dent very steady. Df Dent Small retains Efficiency (Sharpe Ratio) of 0.0049, which denotes the fund had a 0.0049% return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for Df Dent, which you can use to evaluate the volatility of the entity. Please confirm Df Dent's Standard Deviation of 1.13, downside deviation of 1.21, and Market Risk Adjusted Performance of 0.0316 to check if the risk estimate we provide is consistent with the expected return of 0.0055%. The fund owns a Beta (Systematic Risk) of 1.54, which means 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, Df Dent will likely underperform.
Auto-correlation | 0.69 |
Good predictability
Df Dent Small has good predictability. Overlapping area represents the amount of predictability between Df Dent time series from 26th of March 2024 to 10th of April 2024 and 10th of April 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 Df Dent Small price movement. The serial correlation of 0.69 indicates that around 69.0% of current Df Dent price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Df Dent Small lagged returns against current returns
Autocorrelation, which is Df Dent 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 Df Dent's mutual fund expected returns. We can calculate the autocorrelation of Df Dent returns to help us make a trade decision. For example, suppose you find that Df Dent 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 |
Df Dent 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 Df Dent mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Df Dent mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Df Dent mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Df Dent Lagged Returns
When evaluating Df Dent's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Df Dent mutual fund have on its future price. Df Dent 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, Df Dent autocorrelation shows the relationship between Df Dent mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Df Dent Small.
Regressed Prices |
| Timeline |
Pair Trading with Df Dent
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Df Dent position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Df Dent will appreciate offsetting losses from the drop in the long position's value.Moving together with DFDSX Mutual Fund
| 0.89 | DFDPX | Df Dent Premier | PairCorr |
| 0.99 | DFDMX | Df Dent Midcap | PairCorr |
| 0.99 | DFMGX | Df Dent Midcap | PairCorr |
| 1.0 | DFSGX | Df Dent Small | PairCorr |
The ability to find closely correlated positions to Df Dent could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Df Dent when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Df Dent - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Df Dent Small to buy it.
The correlation of Df Dent is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Df Dent moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Df Dent Small moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Df Dent can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Df Dent Correlation, Df Dent Volatility and Df Dent Alpha and Beta module to complement your research on Df Dent. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Df Dent 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.