Dreyfus Midcap Index Fund Market Value
| DMIDX Fund | USD 28.63 0.11 0.39% |
| Symbol | Dreyfus |
Dreyfus Midcap '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 Midcap'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 Midcap.
| 10/22/2023 |
| 04/19/2024 |
If you would invest 0.00 in Dreyfus Midcap on October 22, 2023 and sell it all today you would earn a total of 0.00 from holding Dreyfus Midcap Index or generate 0.0% return on investment in Dreyfus Midcap over 180 days. Dreyfus Midcap is related to or competes with Dreyfus High, Dreyfusthe Boston, Dreyfus International, Dreyfus International, Dreyfus International, Dreyfus Short, and International Stock. To pursue its goal, the fund generally is fully invested in stocks included in the SP MidCap 400 Index and in futures wh... More
Dreyfus Midcap 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 Midcap'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 Midcap Index upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.09 | |||
| Information Ratio | 0.0046 | |||
| Maximum Drawdown | 4.39 | |||
| Value At Risk | (1.86) | |||
| Potential Upside | 1.47 |
Dreyfus Midcap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dreyfus Midcap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dreyfus Midcap's standard deviation. In reality, there are many statistical measures that can use Dreyfus Midcap historical prices to predict the future Dreyfus Midcap's volatility.| Risk Adjusted Performance | 0.0512 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.004 | |||
| Treynor Ratio | 0.0474 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dreyfus Midcap'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 Midcap Index Backtested Returns
We consider Dreyfus Midcap very steady. Dreyfus Midcap Index secures Sharpe Ratio (or Efficiency) of 0.043, which denotes the fund had a 0.043% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Dreyfus Midcap Index, which you can use to evaluate the volatility of the entity. Please confirm Dreyfus Midcap's Downside Deviation of 1.09, semi deviation of 0.9576, and Mean Deviation of 0.7316 to check if the risk estimate we provide is consistent with the expected return of 0.0404%. The fund shows a Beta (market volatility) of 1.33, 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 Midcap will likely underperform.
Auto-correlation | 0.87 |
Very good predictability
Dreyfus Midcap Index has very good predictability. Overlapping area represents the amount of predictability between Dreyfus Midcap time series from 22nd of October 2023 to 20th of January 2024 and 20th of January 2024 to 19th 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 Midcap Index price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current Dreyfus Midcap price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 0.89 |
Dreyfus Midcap Index lagged returns against current returns
Autocorrelation, which is Dreyfus Midcap 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 Midcap's mutual fund expected returns. We can calculate the autocorrelation of Dreyfus Midcap returns to help us make a trade decision. For example, suppose you find that Dreyfus Midcap 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 Midcap 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 Midcap mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dreyfus Midcap 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 Midcap mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dreyfus Midcap Lagged Returns
When evaluating Dreyfus Midcap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dreyfus Midcap mutual fund have on its future price. Dreyfus Midcap 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 Midcap autocorrelation shows the relationship between Dreyfus Midcap mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dreyfus Midcap Index.
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 Midcap 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 Midcap's short interest history, or implied volatility extrapolated from Dreyfus Midcap options trading.
Pair Trading with Dreyfus Midcap
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 Midcap 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 Midcap will appreciate offsetting losses from the drop in the long position's value.Moving together with Dreyfus Mutual Fund
| 0.75 | DIMIX | Dreyfus Short Interm | PairCorr |
| 0.69 | SDGIX | Dreyfusstandish Global | PairCorr |
| 0.79 | SDSCX | Dreyfusthe Boston Pany | PairCorr |
| 0.77 | DLDYX | Dreyfus Natural Resources | PairCorr |
The ability to find closely correlated positions to Dreyfus Midcap 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 Midcap 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 Midcap - 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 Midcap Index to buy it.
The correlation of Dreyfus Midcap 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 Midcap moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dreyfus Midcap Index 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 Midcap 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 Midcap Correlation, Dreyfus Midcap Volatility and Dreyfus Midcap Alpha and Beta module to complement your research on Dreyfus Midcap. Note that the Dreyfus Midcap Index information on this page should be used as a complementary analysis to other Dreyfus Midcap's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Dreyfus Midcap 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.