Permanent Portfolio Class Fund Market Value
| PRPDX Fund | USD 62.15 0.67 1.09% |
| Symbol | Permanent |
Permanent Portfolio '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 Permanent Portfolio'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 Permanent Portfolio.
| 03/12/2023 |
| 01/30/2025 |
If you would invest 0.00 in Permanent Portfolio on March 12, 2023 and sell it all today you would earn a total of 0.00 from holding Permanent Portfolio Class or generate 0.0% return on investment in Permanent Portfolio over 690 days. Permanent Portfolio is related to or competes with Permanent Portfolio, Permanent Portfolio, Short Term, Versatile Bond, Versatile Bond, and Versatile Bond. The fund allocates its assets as follows 20 percent of its assets in gold, 5 percent of its assets in silver, 10 percent... More
Permanent Portfolio 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 Permanent Portfolio'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 Permanent Portfolio Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7617 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 3.11 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.03 |
Permanent Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Permanent Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Permanent Portfolio's standard deviation. In reality, there are many statistical measures that can use Permanent Portfolio historical prices to predict the future Permanent Portfolio's volatility.| Risk Adjusted Performance | 0.0087 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | (0) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Permanent Portfolio'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.
Permanent Portfolio Class Backtested Returns
At this stage we consider Permanent Mutual Fund to be very steady. Permanent Portfolio Class maintains Sharpe Ratio (i.e., Efficiency) of 0.0497, which implies the entity had a 0.0497 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Permanent Portfolio Class, which you can use to evaluate the volatility of the fund. Please check Permanent Portfolio's Semi Deviation of 0.7286, risk adjusted performance of 0.0087, and Coefficient Of Variation of 7217.08 to confirm if the risk estimate we provide is consistent with the expected return of 0.0337%. The fund holds a Beta of 0.27, which implies not very significant fluctuations relative to the market. As returns on the market increase, Permanent Portfolio's returns are expected to increase less than the market. However, during the bear market, the loss of holding Permanent Portfolio is expected to be smaller as well.
Auto-correlation | 0.81 |
Very good predictability
Permanent Portfolio Class has very good predictability. Overlapping area represents the amount of predictability between Permanent Portfolio time series from 12th of March 2023 to 20th of February 2024 and 20th of February 2024 to 30th 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 Permanent Portfolio Class price movement. The serial correlation of 0.81 indicates that around 81.0% of current Permanent Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 10.94 |
Permanent Portfolio Class lagged returns against current returns
Autocorrelation, which is Permanent Portfolio 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 Permanent Portfolio's mutual fund expected returns. We can calculate the autocorrelation of Permanent Portfolio returns to help us make a trade decision. For example, suppose you find that Permanent Portfolio 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 |
Permanent Portfolio 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 Permanent Portfolio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Permanent Portfolio mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Permanent Portfolio mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Permanent Portfolio Lagged Returns
When evaluating Permanent Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Permanent Portfolio mutual fund have on its future price. Permanent Portfolio 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, Permanent Portfolio autocorrelation shows the relationship between Permanent Portfolio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Permanent Portfolio Class.
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 Permanent Mutual Fund
Permanent Portfolio financial ratios help investors to determine whether Permanent 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 Permanent with respect to the benefits of owning Permanent Portfolio security.
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