Foundry Partners Fundamental Fund Market Value
| DRSVX Fund | USD 22.26 0.14 0.63% |
| Symbol | Foundry |
Foundry Partners '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 Foundry Partners' 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 Foundry Partners.
| 11/01/2023 |
| 04/29/2024 |
If you would invest 0.00 in Foundry Partners on November 1, 2023 and sell it all today you would earn a total of 0.00 from holding Foundry Partners Fundamental or generate 0.0% return on investment in Foundry Partners over 180 days. Foundry Partners is related to or competes with Vanguard Small, Us Small, Us Targeted, Undiscovered Managers, Undiscovered Managers, Undiscovered Managers, and American Beacon. The fund invests at least 80 percent of its assets in common stocks of small capitalization companies that at the time o... More
Foundry Partners 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 Foundry Partners' 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 Foundry Partners Fundamental upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.26 | |||
| Information Ratio | 0.018 | |||
| Maximum Drawdown | 4.71 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.89 |
Foundry Partners Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Foundry Partners' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Foundry Partners' standard deviation. In reality, there are many statistical measures that can use Foundry Partners historical prices to predict the future Foundry Partners' volatility.| Risk Adjusted Performance | 0.0674 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0153 | |||
| Treynor Ratio | 0.0659 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Foundry Partners' 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.
Foundry Partners Fun Backtested Returns
We consider Foundry Partners very steady. Foundry Partners Fun secures Sharpe Ratio (or Efficiency) of 0.0671, which denotes the fund had a 0.0671% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Foundry Partners Fundamental, which you can use to evaluate the volatility of the entity. Please confirm Foundry Partners' Mean Deviation of 0.7983, downside deviation of 1.26, and Coefficient Of Variation of 987.36 to check if the risk estimate we provide is consistent with the expected return of 0.0728%. The fund shows a Beta (market volatility) of 1.49, 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, Foundry Partners will likely underperform.
Auto-correlation | 0.81 |
Very good predictability
Foundry Partners Fundamental has very good predictability. Overlapping area represents the amount of predictability between Foundry Partners time series from 1st of November 2023 to 30th of January 2024 and 30th of January 2024 to 29th 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 Foundry Partners Fun price movement. The serial correlation of 0.81 indicates that around 81.0% of current Foundry Partners price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
Foundry Partners Fun lagged returns against current returns
Autocorrelation, which is Foundry Partners 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 Foundry Partners' mutual fund expected returns. We can calculate the autocorrelation of Foundry Partners returns to help us make a trade decision. For example, suppose you find that Foundry Partners 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 |
Foundry Partners 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 Foundry Partners mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Foundry Partners mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Foundry Partners mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Foundry Partners Lagged Returns
When evaluating Foundry Partners' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Foundry Partners mutual fund have on its future price. Foundry Partners 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, Foundry Partners autocorrelation shows the relationship between Foundry Partners mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Foundry Partners Fundamental.
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 Foundry Partners 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, Foundry Partners' short interest history, or implied volatility extrapolated from Foundry Partners options trading.
Pair Trading with Foundry Partners
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 Foundry Partners 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 Foundry Partners will appreciate offsetting losses from the drop in the long position's value.Moving together with Foundry Mutual Fund
| 1.0 | DRISX | Foundry Partners Fun | PairCorr |
| 0.94 | VSIIX | Vanguard Small Cap | PairCorr |
| 0.94 | VISVX | Vanguard Small Cap | PairCorr |
| 0.92 | DFSVX | Us Small Cap | PairCorr |
The ability to find closely correlated positions to Foundry Partners could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Foundry Partners 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 Foundry Partners - 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 Foundry Partners Fundamental to buy it.
The correlation of Foundry Partners 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 Foundry Partners moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Foundry Partners Fun 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 Foundry Partners 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 Foundry Partners Correlation, Foundry Partners Volatility and Foundry Partners Alpha and Beta module to complement your research on Foundry Partners. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Foundry Partners 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.