Franklin Ftse Japan Etf Market Value
| FLJH Etf | USD 31.23 0.71 2.33% |
| Symbol | Franklin |
The market value of Franklin FTSE Japan 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 FTSE's value that differs from its market value or its book value, called intrinsic value, which is Franklin FTSE'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 FTSE's market value can be influenced by many factors that don't directly affect Franklin FTSE'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 FTSE's value and its price as these two are different measures arrived at by different means. Investors typically determine if Franklin FTSE is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Franklin FTSE'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 FTSE '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 FTSE'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 FTSE.
| 12/14/2024 |
| 03/14/2025 |
If you would invest 0.00 in Franklin FTSE on December 14, 2024 and sell it all today you would earn a total of 0.00 from holding Franklin FTSE Japan or generate 0.0% return on investment in Franklin FTSE over 90 days. Franklin FTSE is related to or competes with Franklin FTSE, Franklin FTSE, and Franklin FTSE. Under normal market conditions, the fund invests at least 80 percent of its assets in the component securities of the FT... More
Franklin FTSE 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 FTSE'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 FTSE Japan upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.115 | |||
| Maximum Drawdown | 4.91 | |||
| Value At Risk | (1.49) | |||
| Potential Upside | 1.75 |
Franklin FTSE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Franklin FTSE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Franklin FTSE's standard deviation. In reality, there are many statistical measures that can use Franklin FTSE historical prices to predict the future Franklin FTSE's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | 0.0587 | |||
| Total Risk Alpha | 0.1414 | |||
| Treynor Ratio | (0.05) |
Franklin FTSE Japan Backtested Returns
Franklin FTSE is very steady at the moment. Franklin FTSE Japan secures Sharpe Ratio (or Efficiency) of 0.0148, which denotes the etf had a 0.0148 % return per unit of standard deviation over the last 3 months. We have found twenty-two technical indicators for Franklin FTSE Japan, which you can use to evaluate the volatility of the entity. Please confirm Franklin FTSE's Mean Deviation of 0.7592, standard deviation of 1.0, and Coefficient Of Variation of (5,805) to check if the risk estimate we provide is consistent with the expected return of 0.0157%. The etf shows a Beta (market volatility) of 0.6, which means possible diversification benefits within a given portfolio. As returns on the market increase, Franklin FTSE's returns are expected to increase less than the market. However, during the bear market, the loss of holding Franklin FTSE is expected to be smaller as well.
Auto-correlation | 0.12 |
Insignificant predictability
Franklin FTSE Japan has insignificant predictability. Overlapping area represents the amount of predictability between Franklin FTSE time series from 14th of December 2024 to 28th of January 2025 and 28th of January 2025 to 14th of March 2025. 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 FTSE Japan price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Franklin FTSE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Franklin FTSE Japan lagged returns against current returns
Autocorrelation, which is Franklin FTSE 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 FTSE's etf expected returns. We can calculate the autocorrelation of Franklin FTSE returns to help us make a trade decision. For example, suppose you find that Franklin FTSE 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 FTSE 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 FTSE etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Franklin FTSE etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Franklin FTSE etf over time.
Current vs Lagged Prices |
| Timeline |
Franklin FTSE Lagged Returns
When evaluating Franklin FTSE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Franklin FTSE etf have on its future price. Franklin FTSE 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 FTSE autocorrelation shows the relationship between Franklin FTSE etf current value and its past values and can show if there is a momentum factor associated with investing in Franklin FTSE Japan.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Franklin FTSE Japan 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 Franklin 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 Franklin Ftse Japan Etf. Highlighted below are key reports to facilitate an investment decision about Franklin Ftse Japan Etf:Check out Franklin FTSE Correlation, Franklin FTSE Volatility and Franklin FTSE Alpha and Beta module to complement your research on Franklin FTSE. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Franklin FTSE 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.