Putnam Mutual Fund Market Value

PAADX
 Fund
  

USD 13.34  0.10  0.74%   

Putnam Dynamic's market value is the price at which a share of Putnam Dynamic stock trades on a public exchange. It measures the collective expectations of Putnam Dynamic Asset investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Putnam Dynamic Asset and determine expected loss or profit from investing in Putnam Dynamic over a given investment horizon. Please check Putnam Dynamic Correlation, Putnam Dynamic Volatility and Putnam Dynamic Alpha and Beta module to complement your research on Putnam Dynamic.
Symbol

Please note, there is a significant difference between Putnam Dynamic's value and its price as these two are different measures arrived at by different means. Investors typically determine Putnam Dynamic value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Putnam Dynamic'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 Dynamic '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 Dynamic'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 Putnam Dynamic.
0.00
10/12/2020
No Change 0.00  0.0 
In 1 year 11 months and 21 days
10/02/2022
0.00
If you would invest  0.00  in Putnam Dynamic on October 12, 2020 and sell it all today you would earn a total of 0.00 from holding Putnam Dynamic Asset or generate 0.0% return on investment in Putnam Dynamic over 720 days. Putnam Dynamic is related to or competes with Putnam Convertible, Putnam Convertible, Putnam Convertible, Calamos Convertible, Invesco Convertible, Lord Abbett, and Invesco Convertible. The fund allocates 45 percent to 75 percent of its assets in equities and 25 percent to 55 percent in fixed income secur... More

Putnam Dynamic 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 Dynamic'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 Putnam Dynamic Asset upside and downside potential and time the market with a certain degree of confidence.

Putnam Dynamic Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam Dynamic's standard deviation. In reality, there are many statistical measures that can use Putnam Dynamic historical prices to predict the future Putnam Dynamic's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Putnam Dynamic'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. Please use the tools below to analyze the current value of Putnam Dynamic in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
12.7513.5914.43
Details
Intrinsic
Valuation
LowReal ValueHigh
12.9113.7514.59
Details
Naive
Forecast
LowNext ValueHigh
12.3513.1914.04
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.3014.2415.18
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Putnam Dynamic. Your research has to be compared to or analyzed against Putnam Dynamic's peers to derive any actionable benefits. When done correctly, Putnam Dynamic's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Putnam Dynamic Asset.

Putnam Dynamic Asset Backtested Returns

Putnam Dynamic Asset maintains Sharpe Ratio (i.e., Efficiency) of -0.0898, which implies the entity had -0.0898% of return per unit of risk over the last 3 months. Macroaxis standpoint towards forecasting the risk of any fund is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Putnam Dynamic Asset exposes twenty-one different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to check Putnam Dynamic Asset coefficient of variation of (1,158), and Risk Adjusted Performance of (0.10) to confirm the risk estimate we provide.
The fund holds a Beta of 0.6785, which implies possible diversification benefits within a given portfolio. Let's try to break down what Putnam's beta means in this case. As returns on the market increase, Putnam Dynamic returns are expected to increase less than the market. However, during the bear market, the loss on holding Putnam Dynamic will be expected to be smaller as well. Even though it is essential to pay attention to Putnam Dynamic Asset current trending patterns, it is always good to be careful when utilizing equity existing price patterns. Our philosophy towards forecasting any fund's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Putnam Dynamic Asset exposes twenty-one different technical indicators, which can help you to evaluate its performance.

Auto-correlation

    
  -0.91  

Near perfect reversele predictability

Putnam Dynamic Asset has near perfect reversele predictability. Overlapping area represents the amount of predictability between Putnam Dynamic time series from 12th of October 2020 to 7th of October 2021 and 7th of October 2021 to 2nd of October 2022. 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 Dynamic Asset price movement. The serial correlation of -0.91 indicates that approximately 91.0% of current Putnam Dynamic price fluctuation can be explain by its past prices.
Correlation Coefficient-0.91
Spearman Rank Test-0.9
Residual Average0.0
Price Variance2.48

Putnam Dynamic Asset lagged returns against current returns

Autocorrelation, which is Putnam Dynamic 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 Putnam Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Putnam Dynamic returns to help us make a trade decision. For example, suppose you find that Putnam Dynamic mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
Share
       Timeline  

Putnam Dynamic 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 Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam Dynamic mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Putnam Dynamic mutual fund over time.
   Current vs Lagged Prices   
Share
       Timeline  

Putnam Dynamic Lagged Returns

When evaluating Putnam Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam Dynamic mutual fund have on its future price. Putnam Dynamic 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 Dynamic autocorrelation shows the relationship between Putnam Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Putnam Dynamic Asset.
   Regressed Prices   
Share
       Timeline  

Be your own money manager

Our tools can tell you how much better you can do entering a position in Putnam Dynamic without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

Did you try this?

Run Headlines Timeline Now

   

Headlines Timeline

Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
All  Next Launch Module

Currently Active Assets on Macroaxis

Please check Putnam Dynamic Correlation, Putnam Dynamic Volatility and Putnam Dynamic Alpha and Beta module to complement your research on Putnam Dynamic. Note that the Putnam Dynamic Asset information on this page should be used as a complementary analysis to other Putnam Dynamic's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

Complementary Tools for Putnam Mutual Fund analysis

When running Putnam Dynamic Asset price analysis, check to measure Putnam Dynamic's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Putnam Dynamic is operating at the current time. Most of Putnam Dynamic's value examination focuses on studying past and present price action to predict the probability of Putnam Dynamic's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Putnam Dynamic's price. Additionally, you may evaluate how the addition of Putnam Dynamic to your portfolios can decrease your overall portfolio volatility.
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Go
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Go
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Go
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Go
Equity Valuation
Check real value of public entities based on technical and fundamental data
Go
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Go
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Go
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Go
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Go
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Go
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Go
Putnam Dynamic technical mutual fund 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, fund market cycles, or different charting patterns.
A focus of Putnam Dynamic technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Putnam Dynamic trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...