Us Large Cap Fund Market Value
| DFLVX Fund | USD 46.71 0.15 0.32% |
| Symbol | DFLVX |
Us Large '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 Us Large'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 Us Large.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Us Large on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Us Large Cap or generate 0.0% return on investment in Us Large over 30 days. Us Large is related to or competes with Dodge Cox, American Funds, American Funds, American Mutual, and Vanguard Value. The fund is a Feeder Portfolio and pursues its objective by investing substantially all of its assets in its correspondi... More
Us Large 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 Us Large'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 Us Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.712 | |||
| Information Ratio | 0.058 | |||
| Maximum Drawdown | 3.17 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.04 |
Us Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Us Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Us Large's standard deviation. In reality, there are many statistical measures that can use Us Large historical prices to predict the future Us Large's volatility.| Risk Adjusted Performance | 0.0904 | |||
| Jensen Alpha | 0.0397 | |||
| Total Risk Alpha | 0.0362 | |||
| Sortino Ratio | 0.0532 | |||
| Treynor Ratio | 0.0868 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Us Large'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.
Us Large Cap Backtested Returns
We consider Us Large very steady. Us Large Cap retains Efficiency (Sharpe Ratio) of 0.16, which indicates the fund had a 0.16% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Us Large, which you can use to evaluate the volatility of the fund. Please validate Us Large's Risk Adjusted Performance of 0.0904, mean deviation of 0.5034, and Downside Deviation of 0.712 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. The entity owns a Beta (Systematic Risk) of 0.96, which indicates possible diversification benefits within a given portfolio. Us Large returns are very sensitive to returns on the market. As the market goes up or down, Us Large is expected to follow.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
Us Large Cap has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Us Large time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Us Large Cap price movement. The serial correlation of -0.77 indicates that around 77.0% of current Us Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.77 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.73 |
Us Large Cap lagged returns against current returns
Autocorrelation, which is Us Large 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 Us Large's mutual fund expected returns. We can calculate the autocorrelation of Us Large returns to help us make a trade decision. For example, suppose you find that Us Large 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 |
Us Large 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 Us Large mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Us Large mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Us Large mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Us Large Lagged Returns
When evaluating Us Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Us Large mutual fund have on its future price. Us Large 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, Us Large autocorrelation shows the relationship between Us Large mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Us Large Cap.
Regressed Prices |
| Timeline |
Pair Trading with Us Large
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 Us Large 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 Us Large will appreciate offsetting losses from the drop in the long position's value.Moving together with DFLVX Mutual Fund
| 0.92 | DIHRX | Intal High Relative | PairCorr |
| 0.96 | DISVX | Dfa International Small | PairCorr |
| 0.8 | DAABX | Dfa Sustainability | PairCorr |
| 0.98 | DSHGX | Dfa Selectively Hedged | PairCorr |
| 0.94 | DURPX | Us High Relative | PairCorr |
The ability to find closely correlated positions to Us Large could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Us Large 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 Us Large - 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 Us Large Cap to buy it.
The correlation of Us Large 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 Us Large moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Us Large Cap 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 Us Large 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 Us Large Correlation, Us Large Volatility and Us Large Alpha and Beta module to complement your research on Us Large. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Us Large 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.