Pear Tree Polaris Fund Market Value
| QFVIX Fund | USD 23.20 0.07 0.30% |
| 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.
| 01/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Pear Tree on January 17, 2024 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 90 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.
| Downside Deviation | 0.5752 | |||
| Information Ratio | 0.0327 | |||
| Maximum Drawdown | 2.6 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 0.8524 |
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 | 0.0964 | |||
| Jensen Alpha | 0.0563 | |||
| Total Risk Alpha | 0.0269 | |||
| Sortino Ratio | 0.0285 | |||
| Treynor Ratio | 0.2854 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pear Tree'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.
Pear Tree Polaris Backtested Returns
We consider Pear Tree very steady. Pear Tree Polaris maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Pear Tree Polaris, which you can use to evaluate the volatility of the fund. Please check Pear Tree's Coefficient Of Variation of 634.13, risk adjusted performance of 0.0964, and Semi Deviation of 0.3873 to confirm if the risk estimate we provide is consistent with the expected return of 0.0791%. The fund holds a Beta of 0.24, which implies not very significant fluctuations relative to the market. 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 | 0.41 |
Average predictability
Pear Tree Polaris has average predictability. Overlapping area represents the amount of predictability between Pear Tree time series from 17th of January 2024 to 2nd of March 2024 and 2nd of March 2024 to 16th 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 Pear Tree Polaris price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Pear Tree price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
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 |
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 Pear Tree 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, Pear Tree's short interest history, or implied volatility extrapolated from Pear Tree options trading.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Pear Tree Polaris using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Pear Tree Correlation, Pear Tree Volatility and Pear Tree Alpha and Beta module to complement your research on Pear Tree. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Pear Tree 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.