Pimco Etf Trust Etf Market Value
| BILZ Etf | 100.96 0.01 0.01% |
| Symbol | PIMCO |
The market value of PIMCO ETF Trust is measured differently than its book value, which is the value of PIMCO that is recorded on the company's balance sheet. Investors also form their own opinion of PIMCO ETF's value that differs from its market value or its book value, called intrinsic value, which is PIMCO ETF'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 PIMCO ETF's market value can be influenced by many factors that don't directly affect PIMCO ETF'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 PIMCO ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if PIMCO ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PIMCO ETF'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.
PIMCO ETF '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 PIMCO ETF'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 PIMCO ETF.
| 09/12/2024 |
| 12/11/2024 |
If you would invest 0.00 in PIMCO ETF on September 12, 2024 and sell it all today you would earn a total of 0.00 from holding PIMCO ETF Trust or generate 0.0% return on investment in PIMCO ETF over 90 days. PIMCO ETF is related to or competes with US Treasury, Tidal Trust, Franklin Liberty, SPDR Bloomberg, US Treasury, Vanguard Extended, and Bondbloxx ETF. PIMCO ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
PIMCO ETF 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 PIMCO ETF'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 PIMCO ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (6.28) | |||
| Maximum Drawdown | 0.0798 | |||
| Potential Upside | 0.0498 |
PIMCO ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PIMCO ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PIMCO ETF's standard deviation. In reality, there are many statistical measures that can use PIMCO ETF historical prices to predict the future PIMCO ETF's volatility.| Risk Adjusted Performance | 0.3843 | |||
| Jensen Alpha | 0.0086 | |||
| Total Risk Alpha | 0.0061 | |||
| Treynor Ratio | 6.23 |
PIMCO ETF Trust Backtested Returns
At this stage we consider PIMCO Etf to be very steady. PIMCO ETF Trust maintains Sharpe Ratio (i.e., Efficiency) of 1.1, which implies the entity had a 1.1% return per unit of volatility over the last 3 months. We have found twenty-three technical indicators for PIMCO ETF Trust, which you can use to evaluate the volatility of the etf. Please check PIMCO ETF's coefficient of variation of 89.93, and Risk Adjusted Performance of 0.3843 to confirm if the risk estimate we provide is consistent with the expected return of 0.0185%. The etf holds a Beta of 0.0014, which implies not very significant fluctuations relative to the market. As returns on the market increase, PIMCO ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding PIMCO ETF is expected to be smaller as well.
Auto-correlation | 0.99 |
Perfect predictability
PIMCO ETF Trust has perfect predictability. Overlapping area represents the amount of predictability between PIMCO ETF time series from 12th of September 2024 to 27th of October 2024 and 27th of October 2024 to 11th of December 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 PIMCO ETF Trust price movement. The serial correlation of 0.99 indicates that 99.0% of current PIMCO ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.99 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
PIMCO ETF Trust lagged returns against current returns
Autocorrelation, which is PIMCO ETF 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 PIMCO ETF's etf expected returns. We can calculate the autocorrelation of PIMCO ETF returns to help us make a trade decision. For example, suppose you find that PIMCO ETF 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 |
PIMCO ETF 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 PIMCO ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PIMCO ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PIMCO ETF etf over time.
Current vs Lagged Prices |
| Timeline |
PIMCO ETF Lagged Returns
When evaluating PIMCO ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PIMCO ETF etf have on its future price. PIMCO ETF 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, PIMCO ETF autocorrelation shows the relationship between PIMCO ETF etf current value and its past values and can show if there is a momentum factor associated with investing in PIMCO ETF Trust.
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.When determining whether PIMCO ETF Trust is a strong investment it is important to analyze PIMCO ETF's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact PIMCO ETF's future performance. For an informed investment choice regarding PIMCO Etf, refer to the following important reports:Check out PIMCO ETF Correlation, PIMCO ETF Volatility and PIMCO ETF Alpha and Beta module to complement your research on PIMCO ETF. For more information on how to buy PIMCO Etf please use our How to Invest in PIMCO ETF guide.You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
PIMCO ETF 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.