Spdr Bloomberg Investment Etf Market Value
| FLRN Etf | USD 30.80 0.01 0.03% |
| Symbol | SPDR |
The market value of SPDR Bloomberg Investment is measured differently than its book value, which is the value of SPDR that is recorded on the company's balance sheet. Investors also form their own opinion of SPDR Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is SPDR Bloomberg'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 SPDR Bloomberg's market value can be influenced by many factors that don't directly affect SPDR Bloomberg'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 SPDR Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Bloomberg'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.
SPDR Bloomberg '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 SPDR Bloomberg'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 SPDR Bloomberg.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in SPDR Bloomberg on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Bloomberg Investment or generate 0.0% return on investment in SPDR Bloomberg over 30 days. SPDR Bloomberg is related to or competes with IShares Floating, VanEck Investment, SPDR Blackstone, Invesco Ultra, and SPDR Bloomberg. The fund generally invests substantially all, but at least 80, of its total assets in the securities comprising the inde... More
SPDR Bloomberg 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 SPDR Bloomberg'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 SPDR Bloomberg Investment upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.049 | |||
| Information Ratio | (2.17) | |||
| Maximum Drawdown | 0.2294 | |||
| Value At Risk | (0.03) | |||
| Potential Upside | 0.1301 |
SPDR Bloomberg Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Bloomberg's standard deviation. In reality, there are many statistical measures that can use SPDR Bloomberg historical prices to predict the future SPDR Bloomberg's volatility.| Risk Adjusted Performance | 0.2079 | |||
| Jensen Alpha | 0.0126 | |||
| Total Risk Alpha | 0.005 | |||
| Sortino Ratio | (2.20) | |||
| Treynor Ratio | 9.15 |
SPDR Bloomberg Investment Backtested Returns
As of now, SPDR Etf is very steady. SPDR Bloomberg Investment owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.45, which indicates the etf had a 0.45% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR Bloomberg Investment, which you can use to evaluate the volatility of the etf. Please validate SPDR Bloomberg's standard deviation of 0.0497, and Risk Adjusted Performance of 0.2079 to confirm if the risk estimate we provide is consistent with the expected return of 0.0222%. The entity has a beta of 0.0014, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPDR Bloomberg's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Bloomberg is expected to be smaller as well.
Auto-correlation | 0.79 |
Good predictability
SPDR Bloomberg Investment has good predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 SPDR Bloomberg Investment price movement. The serial correlation of 0.79 indicates that around 79.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SPDR Bloomberg Investment lagged returns against current returns
Autocorrelation, which is SPDR Bloomberg 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 SPDR Bloomberg's etf expected returns. We can calculate the autocorrelation of SPDR Bloomberg returns to help us make a trade decision. For example, suppose you find that SPDR Bloomberg 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 |
SPDR Bloomberg 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 SPDR Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Bloomberg etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Bloomberg Lagged Returns
When evaluating SPDR Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Bloomberg etf have on its future price. SPDR Bloomberg 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, SPDR Bloomberg autocorrelation shows the relationship between SPDR Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Bloomberg Investment.
Regressed Prices |
| Timeline |
Pair Trading with SPDR Bloomberg
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 SPDR Bloomberg 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 SPDR Bloomberg will appreciate offsetting losses from the drop in the long position's value.Moving together with SPDR Etf
| 1.0 | BIL | SPDR Bloomberg 1 | PairCorr |
| 0.99 | SHV | iShares Short Treasury | PairCorr |
| 0.96 | JPST | JPMorgan Ultra Short | PairCorr |
| 0.99 | USFR | WisdomTree Floating Rate | PairCorr |
| 0.99 | ICSH | iShares Ultra Short | PairCorr |
Moving against SPDR Etf
| 0.92 | FNGD | MicroSectors FANG Index | PairCorr |
| 0.72 | HUM | Humana Inc Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.39 | LUX | Tema ETF Trust | PairCorr |
The ability to find closely correlated positions to SPDR Bloomberg could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SPDR Bloomberg 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 SPDR Bloomberg - 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 SPDR Bloomberg Investment to buy it.
The correlation of SPDR Bloomberg 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 SPDR Bloomberg moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SPDR Bloomberg Investment 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 SPDR Bloomberg 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 SPDR Bloomberg Correlation, SPDR Bloomberg Volatility and SPDR Bloomberg Alpha and Beta module to complement your research on SPDR Bloomberg. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
SPDR Bloomberg 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.