Princeton Adaptive Premium Fund Market Value
| PAPIX Fund | USD 10.11 0.01 0.1% |
| Symbol | Princeton |
Princeton Adaptive '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 Princeton Adaptive'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 Princeton Adaptive.
| 06/19/2024 |
| 01/15/2025 |
If you would invest 0.00 in Princeton Adaptive on June 19, 2024 and sell it all today you would earn a total of 0.00 from holding Princeton Adaptive Premium or generate 0.0% return on investment in Princeton Adaptive over 210 days. Princeton Adaptive is related to or competes with Princeton Premium, Princeton Premium, Putnam Asia, Fidelity Zero, Fidelity 500, and T Rowe. The Advisor intends to utilize two principal investment strategies 1 a premium collection strategy involving sale or pur... More
Princeton Adaptive 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 Princeton Adaptive'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 Princeton Adaptive Premium upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 1.88 | |||
| Value At Risk | (0.1) | |||
| Potential Upside | 0.0992 |
Princeton Adaptive Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Princeton Adaptive's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Princeton Adaptive's standard deviation. In reality, there are many statistical measures that can use Princeton Adaptive historical prices to predict the future Princeton Adaptive's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | 0.5513 |
Princeton Adaptive Backtested Returns
Princeton Adaptive maintains Sharpe Ratio (i.e., Efficiency) of -0.0328, which implies the entity had a -0.0328% return per unit of risk over the last 3 months. Princeton Adaptive exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Princeton Adaptive's Coefficient Of Variation of (4,560), risk adjusted performance of (0.03), and Variance of 0.1013 to confirm the risk estimate we provide. The fund holds a Beta of -0.0308, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Princeton Adaptive are expected to decrease at a much lower rate. During the bear market, Princeton Adaptive is likely to outperform the market.
Auto-correlation | -0.24 |
Weak reverse predictability
Princeton Adaptive Premium has weak reverse predictability. Overlapping area represents the amount of predictability between Princeton Adaptive time series from 19th of June 2024 to 2nd of October 2024 and 2nd of October 2024 to 15th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Princeton Adaptive price movement. The serial correlation of -0.24 indicates that over 24.0% of current Princeton Adaptive price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Princeton Adaptive lagged returns against current returns
Autocorrelation, which is Princeton Adaptive 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 Princeton Adaptive's mutual fund expected returns. We can calculate the autocorrelation of Princeton Adaptive returns to help us make a trade decision. For example, suppose you find that Princeton Adaptive 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 |
Princeton Adaptive 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 Princeton Adaptive mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Princeton Adaptive mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Princeton Adaptive mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Princeton Adaptive Lagged Returns
When evaluating Princeton Adaptive's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Princeton Adaptive mutual fund have on its future price. Princeton Adaptive 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, Princeton Adaptive autocorrelation shows the relationship between Princeton Adaptive mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Princeton Adaptive Premium.
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.| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin |
Other Information on Investing in Princeton Mutual Fund
Princeton Adaptive financial ratios help investors to determine whether Princeton 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 Princeton with respect to the benefits of owning Princeton Adaptive security.
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data |