Franklin Etf Market Value

XDAT
 Etf
  

USD 15.33  0.15  0.99%   

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

The market value of Franklin Exponential Data is measured differently than its book value, which is the value of Franklin that is recorded on the company's balance sheet. Investors also form their own opinion of Franklin Exponential's value that differs from its market value or its book value, called intrinsic value, which is Franklin Exponential'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 Franklin Exponential's market value can be influenced by many factors that don't directly affect Franklin Exponential'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 Franklin Exponential's value and its price as these two are different measures arrived at by different means. Investors typically determine Franklin Exponential value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Franklin Exponential'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.

Franklin Exponential '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 Franklin Exponential'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 Franklin Exponential.
0.00
11/01/2022
No Change 0.00  0.0 
In 30 days
12/01/2022
0.00
If you would invest  0.00  in Franklin Exponential on November 1, 2022 and sell it all today you would earn a total of 0.00 from holding Franklin Exponential Data or generate 0.0% return on investment in Franklin Exponential over 30 days. Franklin Exponential is related to or competes with Grab Holdings, Tractor Supply, Direxion Daily, Treace Medical, Riskified, Cooper Stnd, and Direxion Daily. Under normal market conditions, the fund invests at least 80 percent of its net assets in equity securities of companies... More

Franklin Exponential 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 Franklin Exponential'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 Franklin Exponential Data upside and downside potential and time the market with a certain degree of confidence.

Franklin Exponential Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Franklin Exponential's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Franklin Exponential's standard deviation. In reality, there are many statistical measures that can use Franklin Exponential historical prices to predict the future Franklin Exponential's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Franklin Exponential'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 Franklin Exponential in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
12.4815.1817.88
Details
Intrinsic
Valuation
LowReal ValueHigh
11.4914.1916.89
Details
Naive
Forecast
LowNext ValueHigh
12.8115.5118.21
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
14.0315.3016.57
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Franklin Exponential. Your research has to be compared to or analyzed against Franklin Exponential's peers to derive any actionable benefits. When done correctly, Franklin Exponential'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 Franklin Exponential Data.

Franklin Exponential Data Backtested Returns

Franklin Exponential Data secures Sharpe Ratio (or Efficiency) of -0.0519, which denotes the etf had -0.0519% of return per unit of standard deviation over the last 3 months. Macroaxis philosophy in predicting the risk of any etf is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Franklin Exponential Data exposes twenty-one different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Franklin Exponential Data mean deviation of 1.98 to check the risk estimate we provide.
The etf shows a Beta (market volatility) of 0.0751, which means not very significant fluctuations relative to the market. Let's try to break down what Franklin's beta means in this case. As returns on the market increase, Franklin Exponential returns are expected to increase less than the market. However, during the bear market, the loss on holding Franklin Exponential will be expected to be smaller as well. Even though it is essential to pay attention to Franklin Exponential Data historical returns, it is always good to be careful when utilizing equity current trending patterns. Our philosophy in predicting any etf's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Franklin Exponential Data exposes twenty-one different technical indicators, which can help you to evaluate its performance.

Auto-correlation

    
  -0.05  

Very weak reverse predictability

Franklin Exponential Data has very weak reverse predictability. Overlapping area represents the amount of predictability between Franklin Exponential time series from 1st of November 2022 to 16th of November 2022 and 16th of November 2022 to 1st of December 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 Franklin Exponential Data price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current Franklin Exponential price fluctuation can be explain by its past prices.
Correlation Coefficient-0.05
Spearman Rank Test-0.15
Residual Average0.0
Price Variance0.04

Franklin Exponential Data lagged returns against current returns

Autocorrelation, which is Franklin Exponential 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 Franklin Exponential's etf expected returns. We can calculate the autocorrelation of Franklin Exponential returns to help us make a trade decision. For example, suppose you find that Franklin Exponential etf 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   
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       Timeline  

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

Franklin Exponential Lagged Returns

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

Be your own money manager

Our tools can tell you how much better you can do entering a position in Franklin Exponential 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.

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Check out Franklin Exponential Correlation, Franklin Exponential Volatility and Franklin Exponential Alpha and Beta module to complement your research on Franklin Exponential. Note that the Franklin Exponential Data information on this page should be used as a complementary analysis to other Franklin Exponential'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 ETF Directory module to find actively traded Exchange Traded Funds (ETF) from around the world.

Complementary Tools for Franklin Etf analysis

When running Franklin Exponential Data price analysis, check to measure Franklin Exponential'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 Franklin Exponential is operating at the current time. Most of Franklin Exponential's value examination focuses on studying past and present price action to predict the probability of Franklin Exponential's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Franklin Exponential's price. Additionally, you may evaluate how the addition of Franklin Exponential to your portfolios can decrease your overall portfolio volatility.
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Franklin Exponential 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.
A focus of Franklin Exponential technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Franklin Exponential 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...