Putnam Etf Trust Etf Market Value
| PCRB Etf | 48.36 0.02 0.04% |
| Symbol | Putnam |
The market value of Putnam ETF Trust is measured differently than its book value, which is the value of Putnam that is recorded on the company's balance sheet. Investors also form their own opinion of Putnam ETF's value that differs from its market value or its book value, called intrinsic value, which is Putnam 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 Putnam ETF's market value can be influenced by many factors that don't directly affect Putnam 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 Putnam ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Putnam ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Putnam 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.
Putnam 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 Putnam 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 Putnam ETF.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Putnam ETF on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Putnam ETF Trust or generate 0.0% return on investment in Putnam ETF over 30 days. Putnam ETF is related to or competes with IShares MSCI, IShares IBoxx, IShares TIPS, IShares 1, and IShares 7. Putnam ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
Putnam 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 Putnam 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 Putnam ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.50) | |||
| Maximum Drawdown | 1.71 | |||
| Value At Risk | (0.55) | |||
| Potential Upside | 0.4264 |
Putnam ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam ETF's standard deviation. In reality, there are many statistical measures that can use Putnam ETF historical prices to predict the future Putnam ETF's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | 0.6505 |
Putnam ETF Trust Backtested Returns
Putnam ETF Trust maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the entity had a -0.11% return per unit of risk over the last 3 months. Putnam ETF Trust exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Putnam ETF's Risk Adjusted Performance of (0.08), coefficient of variation of (1,155), and Variance of 0.0983 to confirm the risk estimate we provide. The etf holds a Beta of -0.0571, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Putnam ETF are expected to decrease at a much lower rate. During the bear market, Putnam ETF is likely to outperform the market.
Auto-correlation | 0.32 |
Below average predictability
Putnam ETF Trust has below average predictability. Overlapping area represents the amount of predictability between Putnam ETF time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd of November 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 Putnam ETF Trust price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Putnam ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Putnam ETF Trust lagged returns against current returns
Autocorrelation, which is Putnam 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 Putnam ETF's etf expected returns. We can calculate the autocorrelation of Putnam ETF returns to help us make a trade decision. For example, suppose you find that Putnam 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 |
Putnam 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 Putnam ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Putnam ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Putnam ETF Lagged Returns
When evaluating Putnam ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam ETF etf have on its future price. Putnam 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, Putnam ETF autocorrelation shows the relationship between Putnam ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Putnam 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 Putnam ETF Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Putnam Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Putnam Etf Trust Etf. Highlighted below are key reports to facilitate an investment decision about Putnam Etf Trust Etf:Check out Putnam ETF Correlation, Putnam ETF Volatility and Putnam ETF Alpha and Beta module to complement your research on Putnam ETF. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Putnam 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.