Delaware Small Cap Fund Market Value
| DSGEX Fund | USD 9.14 0.11 1.22% |
| Symbol | Delaware |
Delaware Small '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 Delaware Small'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 Delaware Small.
| 02/23/2024 |
| 04/23/2024 |
If you would invest 0.00 in Delaware Small on February 23, 2024 and sell it all today you would earn a total of 0.00 from holding Delaware Small Cap or generate 0.0% return on investment in Delaware Small over 60 days. Delaware Small is related to or competes with Optimum Small, Delaware High, Delaware High-yield, Delaware High, Delaware High, Delaware High-yield, and First Investors. The fund invests primarily in common stocks of growth-oriented companies that its investment manager, Delaware Managemen... More
Delaware Small 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 Delaware Small'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 Delaware Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.23 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 4.83 | |||
| Value At Risk | (1.87) | |||
| Potential Upside | 1.79 |
Delaware Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Delaware Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Delaware Small's standard deviation. In reality, there are many statistical measures that can use Delaware Small historical prices to predict the future Delaware Small's volatility.| Risk Adjusted Performance | 0.0371 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0328 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Delaware Small'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.
Delaware Small Cap Backtested Returns
We consider Delaware Small not too volatile. Delaware Small Cap secures Sharpe Ratio (or Efficiency) of 0.0258, which denotes the fund had a 0.0258% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Delaware Small Cap, which you can use to evaluate the volatility of the entity. Please confirm Delaware Small's Mean Deviation of 0.923, downside deviation of 1.23, and Coefficient Of Variation of 1896.48 to check if the risk estimate we provide is consistent with the expected return of 0.0296%. The fund shows a Beta (market volatility) 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, Delaware Small will likely underperform.
Auto-correlation | 0.20 |
Weak predictability
Delaware Small Cap has weak predictability. Overlapping area represents the amount of predictability between Delaware Small time series from 23rd of February 2024 to 24th of March 2024 and 24th of March 2024 to 23rd 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 Delaware Small Cap price movement. The serial correlation of 0.2 indicates that over 20.0% of current Delaware Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Delaware Small Cap lagged returns against current returns
Autocorrelation, which is Delaware Small 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 Delaware Small's mutual fund expected returns. We can calculate the autocorrelation of Delaware Small returns to help us make a trade decision. For example, suppose you find that Delaware Small 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 |
Delaware Small 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 Delaware Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Delaware Small mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Delaware Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Delaware Small Lagged Returns
When evaluating Delaware Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Delaware Small mutual fund have on its future price. Delaware Small 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, Delaware Small autocorrelation shows the relationship between Delaware Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Delaware Small Cap.
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 Delaware Small 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, Delaware Small's short interest history, or implied volatility extrapolated from Delaware Small options trading.
Pair Trading with Delaware Small
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 Delaware Small 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 Delaware Small will appreciate offsetting losses from the drop in the long position's value.Moving together with Delaware Mutual Fund
| 0.99 | OASGX | Optimum Small Mid | PairCorr |
| 0.81 | OASVX | Optimum Small Mid | PairCorr |
| 0.7 | DHIZX | Delaware High Yield | PairCorr |
| 0.69 | DHIRX | Delaware High Yield | PairCorr |
| 0.73 | DHOIX | Delaware High Yield | PairCorr |
The ability to find closely correlated positions to Delaware Small could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Delaware Small 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 Delaware Small - 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 Delaware Small Cap to buy it.
The correlation of Delaware Small 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 Delaware Small moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Delaware Small 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 Delaware Small 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 Delaware Small Correlation, Delaware Small Volatility and Delaware Small Alpha and Beta module to complement your research on Delaware Small. Note that the Delaware Small Cap information on this page should be used as a complementary analysis to other Delaware Small'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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Delaware Small 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.