Franklin Exponential Data Etf Market Value
| XDAT Etf | USD 27.24 0.03 0.11% |
| Symbol | Franklin |
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 if Franklin Exponential is a good investment 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.
| 11/13/2024 |
| 12/13/2024 |
If you would invest 0.00 in Franklin Exponential on November 13, 2024 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 Invesco DWA, Invesco Dynamic, SCOR PK, Morningstar Unconstrained, Thrivent High, Via Renewables, and Bondbloxx ETF. 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.
| Downside Deviation | 0.9876 | |||
| Information Ratio | 0.1524 | |||
| Maximum Drawdown | 5.17 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 2.25 |
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.| Risk Adjusted Performance | 0.1872 | |||
| Jensen Alpha | 0.1757 | |||
| Total Risk Alpha | 0.1155 | |||
| Sortino Ratio | 0.1717 | |||
| Treynor Ratio | 0.2887 |
Franklin Exponential Data Backtested Returns
Franklin Exponential appears to be very steady, given 3 months investment horizon. Franklin Exponential Data secures Sharpe Ratio (or Efficiency) of 0.22, which denotes the etf had a 0.22% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Franklin Exponential Data, which you can use to evaluate the volatility of the entity. Please utilize Franklin Exponential's Mean Deviation of 0.8246, semi deviation of 0.6674, and Downside Deviation of 0.9876 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.94, which means possible diversification benefits within a given portfolio. Franklin Exponential returns are very sensitive to returns on the market. As the market goes up or down, Franklin Exponential is expected to follow.
Auto-correlation | -0.26 |
Weak reverse predictability
Franklin Exponential Data has weak reverse predictability. Overlapping area represents the amount of predictability between Franklin Exponential time series from 13th of November 2024 to 28th of November 2024 and 28th of November 2024 to 13th 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 Franklin Exponential Data price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Franklin Exponential price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
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 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 |
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 |
| 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 |
| Timeline |
Thematic Opportunities
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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. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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.