Principal Spectrum Preferred Etf Market Value
| PREF Etf | USD 18.96 0.04 0.21% |
| Symbol | Principal |
The market value of Principal Spectrum is measured differently than its book value, which is the value of Principal that is recorded on the company's balance sheet. Investors also form their own opinion of Principal Spectrum's value that differs from its market value or its book value, called intrinsic value, which is Principal Spectrum's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Principal Spectrum's market value can be influenced by many factors that don't directly affect Principal Spectrum's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Principal Spectrum's value and its price as these two are different measures arrived at by different means. Investors typically determine if Principal Spectrum is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Principal Spectrum's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Principal Spectrum '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 Principal Spectrum's etf 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 Principal Spectrum.
| 04/26/2025 |
| 07/25/2025 |
If you would invest 0.00 in Principal Spectrum on April 26, 2025 and sell it all today you would earn a total of 0.00 from holding Principal Spectrum Preferred or generate 0.0% return on investment in Principal Spectrum over 90 days. Principal Spectrum is related to or competes with Managed Account, Fidelity Sai, and Schwab Strategic. Under normal circumstances, the fund invests at least 80 percent of its net assets, plus any borrowings for investment p... More
Principal Spectrum 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 Principal Spectrum's etf 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 Principal Spectrum Preferred upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1567 | |||
| Information Ratio | (1.09) | |||
| Maximum Drawdown | 0.9322 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.328 |
Principal Spectrum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Principal Spectrum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Principal Spectrum's standard deviation. In reality, there are many statistical measures that can use Principal Spectrum historical prices to predict the future Principal Spectrum's volatility.| Risk Adjusted Performance | 0.2411 | |||
| Jensen Alpha | 0.0487 | |||
| Total Risk Alpha | (0.0003) | |||
| Sortino Ratio | (1.18) | |||
| Treynor Ratio | (8.61) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Principal Spectrum'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.
Principal Spectrum Backtested Returns
At this point, Principal Spectrum is out of control. Principal Spectrum maintains Sharpe Ratio (i.e., Efficiency) of 0.4, which implies the entity had a 0.4 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Principal Spectrum, which you can use to evaluate the volatility of the etf. Please check Principal Spectrum's Standard Deviation of 0.1705, risk adjusted performance of 0.2411, and Downside Deviation of 0.1567 to confirm if the risk estimate we provide is consistent with the expected return of 0.0599%. The etf holds a Beta of -0.0055, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Principal Spectrum are expected to decrease at a much lower rate. During the bear market, Principal Spectrum is likely to outperform the market.
Auto-correlation | 0.90 |
Excellent predictability
Principal Spectrum Preferred has excellent predictability. Overlapping area represents the amount of predictability between Principal Spectrum time series from 26th of April 2025 to 10th of June 2025 and 10th of June 2025 to 25th of July 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 Principal Spectrum price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current Principal Spectrum price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Principal Spectrum lagged returns against current returns
Autocorrelation, which is Principal Spectrum etf'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 Principal Spectrum's etf expected returns. We can calculate the autocorrelation of Principal Spectrum returns to help us make a trade decision. For example, suppose you find that Principal Spectrum has exhibited high autocorrelation historically, and you observe that the etf 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 |
Principal Spectrum 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 Principal Spectrum etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Principal Spectrum etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Principal Spectrum etf over time.
Current vs Lagged Prices |
| Timeline |
Principal Spectrum Lagged Returns
When evaluating Principal Spectrum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Principal Spectrum etf have on its future price. Principal Spectrum 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, Principal Spectrum autocorrelation shows the relationship between Principal Spectrum etf current value and its past values and can show if there is a momentum factor associated with investing in Principal Spectrum Preferred.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
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| PDI | Pimco Dynamic Income |
Check out Principal Spectrum Correlation, Principal Spectrum Volatility and Principal Spectrum Alpha and Beta module to complement your research on Principal Spectrum. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Principal Spectrum technical etf 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, etf market cycles, or different charting patterns.