Putnam Focused Large Etf Market Value
| PGRO Etf | USD 39.53 0.64 1.59% |
| Symbol | Putnam |
The market value of Putnam Focused Large 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 Focused's value that differs from its market value or its book value, called intrinsic value, which is Putnam Focused'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 Focused's market value can be influenced by many factors that don't directly affect Putnam Focused'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 Focused's value and its price as these two are different measures arrived at by different means. Investors typically determine if Putnam Focused is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Putnam Focused'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 Focused '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 Focused'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 Focused.
| 11/30/2024 |
| 12/30/2024 |
If you would invest 0.00 in Putnam Focused on November 30, 2024 and sell it all today you would earn a total of 0.00 from holding Putnam Focused Large or generate 0.0% return on investment in Putnam Focused over 30 days. Putnam Focused is related to or competes with Putnam Focused, Putnam Sustainable, Putnam Sustainable, Sterling Capital, and Overlay Shares. The fund invests mainly in common stocks of large U.S More
Putnam Focused 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 Focused'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 Focused Large upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.19 | |||
| Information Ratio | 0.1066 | |||
| Maximum Drawdown | 5.28 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 1.66 |
Putnam Focused Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam Focused's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam Focused's standard deviation. In reality, there are many statistical measures that can use Putnam Focused historical prices to predict the future Putnam Focused's volatility.| Risk Adjusted Performance | 0.112 | |||
| Jensen Alpha | 0.1319 | |||
| Total Risk Alpha | 0.1037 | |||
| Sortino Ratio | 0.0925 | |||
| Treynor Ratio | 4.58 |
Putnam Focused Large Backtested Returns
As of now, Putnam Etf is very steady. Putnam Focused Large maintains Sharpe Ratio (i.e., Efficiency) of 0.17, which implies the entity had a 0.17% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Putnam Focused Large, which you can use to evaluate the volatility of the etf. Please check Putnam Focused's Risk Adjusted Performance of 0.112, semi deviation of 1.06, and Coefficient Of Variation of 726.4 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The etf holds a Beta of 0.0289, which implies not very significant fluctuations relative to the market. As returns on the market increase, Putnam Focused's returns are expected to increase less than the market. However, during the bear market, the loss of holding Putnam Focused is expected to be smaller as well.
Auto-correlation | -0.41 |
Modest reverse predictability
Putnam Focused Large has modest reverse predictability. Overlapping area represents the amount of predictability between Putnam Focused time series from 30th of November 2024 to 15th of December 2024 and 15th of December 2024 to 30th 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 Putnam Focused Large price movement. The serial correlation of -0.41 indicates that just about 41.0% of current Putnam Focused price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.41 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.25 |
Putnam Focused Large lagged returns against current returns
Autocorrelation, which is Putnam Focused 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 Focused's etf expected returns. We can calculate the autocorrelation of Putnam Focused returns to help us make a trade decision. For example, suppose you find that Putnam Focused 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 Focused 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 Focused etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam Focused etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Putnam Focused etf over time.
Current vs Lagged Prices |
| Timeline |
Putnam Focused Lagged Returns
When evaluating Putnam Focused's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam Focused etf have on its future price. Putnam Focused 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 Focused autocorrelation shows the relationship between Putnam Focused etf current value and its past values and can show if there is a momentum factor associated with investing in Putnam Focused Large.
Regressed Prices |
| Timeline |
Pair Trading with Putnam Focused
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Putnam Focused position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Putnam Focused will appreciate offsetting losses from the drop in the long position's value.Moving together with Putnam Etf
| 0.99 | VUG | Vanguard Growth Index | PairCorr |
| 1.0 | IWF | iShares Russell 1000 | PairCorr |
| 1.0 | IVW | iShares SP 500 | PairCorr |
| 1.0 | SPYG | SPDR Portfolio SP | PairCorr |
| 0.99 | IUSG | iShares Core SP | PairCorr |
Moving against Putnam Etf
| 0.91 | VIIX | VIIX | PairCorr |
| 0.82 | PFFL | ETRACS 2xMonthly Pay Potential Growth | PairCorr |
| 0.68 | YCL | ProShares Ultra Yen | PairCorr |
| 0.63 | FXY | Invesco CurrencyShares | PairCorr |
| 0.32 | PMBS | PIMCO Mortgage Backed | PairCorr |
The ability to find closely correlated positions to Putnam Focused could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Putnam Focused when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Putnam Focused - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Putnam Focused Large to buy it.
The correlation of Putnam Focused is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Putnam Focused moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Putnam Focused Large moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Putnam Focused can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Putnam Focused Correlation, Putnam Focused Volatility and Putnam Focused Alpha and Beta module to complement your research on Putnam Focused. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Putnam Focused 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.