Franklin Ftse Brazil Etf Market Value
| FLBR Etf | USD 16.75 0.05 0.30% |
| Symbol | Franklin |
The market value of Franklin FTSE Brazil 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.
| 07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in Franklin FTSE on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding Franklin FTSE Brazil or generate 0.0% return on investment in Franklin FTSE over 510 days. Franklin FTSE is related to or competes with IShares China, IShares MSCI, IShares MSCI, IShares MSCI, and IShares MSCI. 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 Brazil upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 5.27 | |||
| Value At Risk | (2.07) | |||
| Potential Upside | 1.72 |
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 | (0.09) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | (0.51) |
Franklin FTSE Brazil Backtested Returns
Franklin FTSE Brazil secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the etf had a -0.13% return per unit of standard deviation over the last 3 months. Franklin FTSE Brazil exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Franklin FTSE's Mean Deviation of 0.9091, coefficient of variation of (843.06), and Standard Deviation of 1.18 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.3, which means not very significant fluctuations relative to the market. 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 | 0.04 |
Virtually no predictability
Franklin FTSE Brazil has virtually no predictability. Overlapping area represents the amount of predictability between Franklin FTSE time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th of November 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 FTSE Brazil price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Franklin FTSE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.62 |
Franklin FTSE Brazil 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 Brazil.
Regressed Prices |
| Timeline |
Pair Trading with Franklin FTSE
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 Franklin FTSE 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 Franklin FTSE will appreciate offsetting losses from the drop in the long position's value.Moving together with Franklin Etf
| 0.98 | EWZ | iShares MSCI Brazil Sell-off Trend | PairCorr |
| 0.94 | ILF | iShares Latin America | PairCorr |
| 0.98 | EWZS | iShares MSCI Brazil | PairCorr |
| 0.98 | FLLA | Franklin FTSE Latin | PairCorr |
Moving against Franklin Etf
| 0.87 | EOS | Eaton Vance Enhanced | PairCorr |
| 0.86 | MSTY | YieldMax MSTR Option | PairCorr |
| 0.78 | BTC | Grayscale Bitcoin Mini | PairCorr |
| 0.75 | VBK | Vanguard Small Cap | PairCorr |
| 0.75 | DISO | Tidal Trust II | PairCorr |
The ability to find closely correlated positions to Franklin FTSE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Franklin FTSE 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 Franklin FTSE - 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 Franklin FTSE Brazil to buy it.
The correlation of Franklin FTSE 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 Franklin FTSE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Franklin FTSE Brazil 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 Franklin FTSE 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 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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.