Us High Relative Fund Market Value
| DURPX Fund | USD 21.48 0.08 0.37% |
| Symbol | DURPX |
Us High '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 High'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 High.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Us High on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Us High Relative or generate 0.0% return on investment in Us High over 30 days. Us High is related to or competes with Vanguard Total, and Vanguard 500. Under normal circumstances, the portfolio will invest at least 80 percent of its net assets in securities of U.S More
Us High 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 High'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 High Relative upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7182 | |||
| Information Ratio | 0.0274 | |||
| Maximum Drawdown | 3.44 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.27 |
Us High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Us High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Us High's standard deviation. In reality, there are many statistical measures that can use Us High historical prices to predict the future Us High's volatility.| Risk Adjusted Performance | 0.067 | |||
| Jensen Alpha | 0.0208 | |||
| Total Risk Alpha | 0.0132 | |||
| Sortino Ratio | 0.0276 | |||
| Treynor Ratio | 0.0668 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Us High'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 High Relative Backtested Returns
We consider Us High very steady. Us High Relative retains Efficiency (Sharpe Ratio) of 0.077, which indicates the fund had a 0.077% return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for Us High, which you can use to evaluate the volatility of the fund. Please validate Us High's Mean Deviation of 0.5606, risk adjusted performance of 0.067, and Downside Deviation of 0.7182 to confirm if the risk estimate we provide is consistent with the expected return of 0.0541%. The entity owns a Beta (Systematic Risk) of 0.98, which indicates possible diversification benefits within a given portfolio. Us High returns are very sensitive to returns on the market. As the market goes up or down, Us High is expected to follow.
Auto-correlation | 0.18 |
Very weak predictability
Us High Relative has very weak predictability. Overlapping area represents the amount of predictability between Us High 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 High Relative price movement. The serial correlation of 0.18 indicates that over 18.0% of current Us High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Us High Relative lagged returns against current returns
Autocorrelation, which is Us High 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 High's mutual fund expected returns. We can calculate the autocorrelation of Us High returns to help us make a trade decision. For example, suppose you find that Us High 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 High 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 High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Us High 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 High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Us High Lagged Returns
When evaluating Us High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Us High mutual fund have on its future price. Us High 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 High autocorrelation shows the relationship between Us High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Us High Relative.
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 Us High 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, Us High's short interest history, or implied volatility extrapolated from Us High options trading.
Pair Trading with Us High
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 High 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 High will appreciate offsetting losses from the drop in the long position's value.Moving together with DURPX Mutual Fund
| 0.97 | DIHRX | Intal High Relative | PairCorr |
| 0.84 | DISVX | Dfa International Small | PairCorr |
| 0.8 | DAABX | Dfa Sustainability | PairCorr |
| 0.93 | DESIX | Emerging Markets Sus | PairCorr |
The ability to find closely correlated positions to Us High 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 High 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 High - 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 High Relative to buy it.
The correlation of Us High 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 High moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Us High Relative 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 High 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 High Correlation, Us High Volatility and Us High Alpha and Beta module to complement your research on Us High. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Us High 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.