Pear Tree Polaris Fund Market Value
| QFVRX Fund | USD 11.47 0.03 0.26% |
| Symbol | Pear |
Pear Tree '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 Pear Tree'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 Pear Tree.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in Pear Tree on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding Pear Tree Polaris or generate 0.0% return on investment in Pear Tree over 720 days. Pear Tree is related to or competes with Loomis Sayles, Edgewood Growth, Nuance Mid, and Parnassus Mid. Normally, the fund invests at least 80 percent of its net assets in equity securities issued by foreign markets value is... More
Pear Tree 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 Pear Tree'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 Pear Tree Polaris upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 3.37 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 1.36 |
Pear Tree Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pear Tree's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pear Tree's standard deviation. In reality, there are many statistical measures that can use Pear Tree historical prices to predict the future Pear Tree's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.31) |
Pear Tree Polaris Backtested Returns
Pear Tree Polaris maintains Sharpe Ratio (i.e., Efficiency) of -0.1, which implies the entity had a -0.1% return per unit of risk over the last 3 months. Pear Tree Polaris exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pear Tree's Coefficient Of Variation of (793.10), risk adjusted performance of (0.1), and Variance of 0.533 to confirm the risk estimate we provide. The fund holds a Beta of 0.33, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pear Tree's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pear Tree is expected to be smaller as well.
Auto-correlation | 0.32 |
Below average predictability
Pear Tree Polaris has below average predictability. Overlapping area represents the amount of predictability between Pear Tree time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st of December 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 Pear Tree Polaris price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Pear Tree price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
Pear Tree Polaris lagged returns against current returns
Autocorrelation, which is Pear Tree 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 Pear Tree's mutual fund expected returns. We can calculate the autocorrelation of Pear Tree returns to help us make a trade decision. For example, suppose you find that Pear Tree 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 |
Pear Tree 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 Pear Tree mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pear Tree mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pear Tree mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Pear Tree Lagged Returns
When evaluating Pear Tree's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pear Tree mutual fund have on its future price. Pear Tree 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, Pear Tree autocorrelation shows the relationship between Pear Tree mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pear Tree Polaris.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Pear Mutual Fund
Pear Tree financial ratios help investors to determine whether Pear Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Pear with respect to the benefits of owning Pear Tree security.
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