Spdr Bloomberg High Etf Market Value
| JNK Etf | USD 96.79 0.57 0.59% |
| Symbol | SPDR |
The market value of SPDR Bloomberg High 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.
| 12/14/2022 |
| 12/03/2024 |
If you would invest 0.00 in SPDR Bloomberg on December 14, 2022 and sell it all today you would earn a total of 0.00 from holding SPDR Bloomberg High or generate 0.0% return on investment in SPDR Bloomberg over 720 days. SPDR Bloomberg is related to or competes with IShares IBoxx, IShares IBoxx, IShares JP, IShares TIPS, and IShares Preferred. 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 High upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2525 | |||
| Information Ratio | (0.43) | |||
| Maximum Drawdown | 0.92 | |||
| Value At Risk | (0.39) | |||
| Potential Upside | 0.3135 |
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 | 0.0601 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.39) | |||
| Treynor Ratio | 0.1061 |
SPDR Bloomberg High Backtested Returns
As of now, SPDR Etf is very steady. SPDR Bloomberg High owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the etf had a 0.11% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR Bloomberg High, which you can use to evaluate the volatility of the etf. Please validate SPDR Bloomberg's risk adjusted performance of 0.0601, and Coefficient Of Variation of 916.48 to confirm if the risk estimate we provide is consistent with the expected return of 0.0246%. The entity has a beta of 0.14, 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 | 0.68 |
Good predictability
SPDR Bloomberg High has good predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 14th of December 2022 to 9th of December 2023 and 9th of December 2023 to 3rd 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 SPDR Bloomberg High price movement. The serial correlation of 0.68 indicates that around 68.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.68 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 7.4 |
SPDR Bloomberg High 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 High.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck 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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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.