Dreyfus Opportunistic Small Fund Market Value
| DOPIX Fund | USD 28.53 0.53 1.89% |
| Symbol | Dreyfus |
Dreyfus Opportunistic '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 Dreyfus Opportunistic'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 Dreyfus Opportunistic.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Dreyfus Opportunistic on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Dreyfus Opportunistic Small or generate 0.0% return on investment in Dreyfus Opportunistic over 30 days. Dreyfus Opportunistic is related to or competes with Dreyfus High, Dreyfus/the Boston, Dreyfus International, Dreyfus International, Dreyfus International, Dreyfus International, and Dreyfus Short. To pursue its goal, the fund normally invests at least 80 percent of its net assets, plus any borrowings for investment ... More
Dreyfus Opportunistic 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 Dreyfus Opportunistic'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 Dreyfus Opportunistic Small upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 5.94 | |||
| Value At Risk | (2.25) | |||
| Potential Upside | 1.65 |
Dreyfus Opportunistic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dreyfus Opportunistic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dreyfus Opportunistic's standard deviation. In reality, there are many statistical measures that can use Dreyfus Opportunistic historical prices to predict the future Dreyfus Opportunistic's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dreyfus Opportunistic'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.
Dreyfus Opportunistic Backtested Returns
Dreyfus Opportunistic secures Sharpe Ratio (or Efficiency) of -0.0367, which denotes the fund had a -0.0367% return per unit of standard deviation over the last 3 months. Dreyfus Opportunistic Small exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dreyfus Opportunistic's Standard Deviation of 1.17, mean deviation of 0.8773, and Coefficient Of Variation of (5,295) to check the risk estimate we provide. The fund shows a Beta (market volatility) of 1.48, 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, Dreyfus Opportunistic will likely underperform.
Auto-correlation | 0.27 |
Poor predictability
Dreyfus Opportunistic Small has poor predictability. Overlapping area represents the amount of predictability between Dreyfus Opportunistic time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Dreyfus Opportunistic price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Dreyfus Opportunistic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.49 |
Dreyfus Opportunistic lagged returns against current returns
Autocorrelation, which is Dreyfus Opportunistic 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 Dreyfus Opportunistic's mutual fund expected returns. We can calculate the autocorrelation of Dreyfus Opportunistic returns to help us make a trade decision. For example, suppose you find that Dreyfus Opportunistic 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 |
Dreyfus Opportunistic 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 Dreyfus Opportunistic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dreyfus Opportunistic mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dreyfus Opportunistic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dreyfus Opportunistic Lagged Returns
When evaluating Dreyfus Opportunistic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dreyfus Opportunistic mutual fund have on its future price. Dreyfus Opportunistic 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, Dreyfus Opportunistic autocorrelation shows the relationship between Dreyfus Opportunistic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dreyfus Opportunistic Small.
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 Dreyfus Opportunistic 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, Dreyfus Opportunistic's short interest history, or implied volatility extrapolated from Dreyfus Opportunistic options trading.
Pair Trading with Dreyfus Opportunistic
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 Dreyfus Opportunistic 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 Dreyfus Opportunistic will appreciate offsetting losses from the drop in the long position's value.Moving together with Dreyfus Mutual Fund
| 0.84 | SSETX | Dreyfusthe Boston Pany | PairCorr |
| 0.7 | DIBRX | Dreyfus International | PairCorr |
| 0.7 | DIBYX | Dreyfus International | PairCorr |
The ability to find closely correlated positions to Dreyfus Opportunistic could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dreyfus Opportunistic 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 Dreyfus Opportunistic - 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 Dreyfus Opportunistic Small to buy it.
The correlation of Dreyfus Opportunistic 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 Dreyfus Opportunistic moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dreyfus Opportunistic 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 Dreyfus Opportunistic 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 Dreyfus Opportunistic Correlation, Dreyfus Opportunistic Volatility and Dreyfus Opportunistic Alpha and Beta module to complement your research on Dreyfus Opportunistic. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Dreyfus Opportunistic 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.