Pace Large Growth Fund Market Value
| PLAAX Fund | USD 14.85 0.28 1.92% |
| Symbol | Pace |
Pace Large '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 Pace Large'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 Pace Large.
| 12/25/2024 |
| 03/25/2025 |
If you would invest 0.00 in Pace Large on December 25, 2024 and sell it all today you would earn a total of 0.00 from holding Pace Large Growth or generate 0.0% return on investment in Pace Large over 90 days. Pace Large is related to or competes with T Rowe, Applied Finance, Ab Discovery, Ultrashort Small-cap, Inverse Mid-cap, Transamerica Financial, and Blackrock Mid-cap. The fund invests primarily in stocks of companies that are believed to have substantial potential for capital growth More
Pace Large 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 Pace Large'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 Pace Large Growth upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 5.48 | |||
| Value At Risk | (2.01) | |||
| Potential Upside | 1.65 |
Pace Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pace Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pace Large's standard deviation. In reality, there are many statistical measures that can use Pace Large historical prices to predict the future Pace Large's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.12) |
Pace Large Growth Backtested Returns
Pace Large Growth maintains Sharpe Ratio (i.e., Efficiency) of -0.0837, which implies the entity had a -0.0837 % return per unit of risk over the last 3 months. Pace Large Growth exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pace Large's Risk Adjusted Performance of (0.08), coefficient of variation of (1,158), and Variance of 1.56 to confirm the risk estimate we provide. The fund holds a Beta of 0.97, which implies possible diversification benefits within a given portfolio. Pace Large returns are very sensitive to returns on the market. As the market goes up or down, Pace Large is expected to follow.
Auto-correlation | -0.7 |
Very good reverse predictability
Pace Large Growth has very good reverse predictability. Overlapping area represents the amount of predictability between Pace Large time series from 25th of December 2024 to 8th of February 2025 and 8th of February 2025 to 25th of March 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 Pace Large Growth price movement. The serial correlation of -0.7 indicates that around 70.0% of current Pace Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.46 |
Pace Large Growth lagged returns against current returns
Autocorrelation, which is Pace Large 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 Pace Large's mutual fund expected returns. We can calculate the autocorrelation of Pace Large returns to help us make a trade decision. For example, suppose you find that Pace Large 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 |
Pace Large 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 Pace Large mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pace Large mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pace Large mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Pace Large Lagged Returns
When evaluating Pace Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pace Large mutual fund have on its future price. Pace Large 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, Pace Large autocorrelation shows the relationship between Pace Large mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pace Large Growth.
Regressed Prices |
| Timeline |
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Other Information on Investing in Pace Mutual Fund
Pace Large financial ratios help investors to determine whether Pace 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 Pace with respect to the benefits of owning Pace Large security.
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