Spdr Bloomberg Convertible Etf Market Value
| CWB Etf | USD 92.69 1.16 1.27% |
| Symbol | SPDR |
The market value of SPDR Bloomberg Conve 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.
| 12/07/2025 |
| 01/06/2026 |
If you would invest 0.00 in SPDR Bloomberg on December 7, 2025 and sell it all today you would earn a total of 0.00 from holding SPDR Bloomberg Convertible or generate 0.0% return on investment in SPDR Bloomberg over 30 days. SPDR Bloomberg is related to or competes with IShares MSCI, IShares MSCI, SPDR Bloomberg, Vanguard, Invesco SP, Dimensional International, and Vanguard Extended. 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 Convertible upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.08 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.81 | |||
| Value At Risk | (1.86) | |||
| Potential Upside | 1.51 |
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 | 0.014 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0061 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR Bloomberg's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SPDR Bloomberg Conve Backtested Returns
At this point, SPDR Bloomberg is very steady. SPDR Bloomberg Conve owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the etf had a close to zero % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR Bloomberg Convertible, which you can use to evaluate the volatility of the etf. Please validate SPDR Bloomberg's risk adjusted performance of 0.014, and Coefficient Of Variation of 6368.71 to confirm if the risk estimate we provide is consistent with the expected return of 0.0081%. The entity has a beta of 0.88, which indicates possible diversification benefits within a given portfolio. SPDR Bloomberg returns are very sensitive to returns on the market. As the market goes up or down, SPDR Bloomberg is expected to follow.
Auto-correlation | 0.21 |
Weak predictability
SPDR Bloomberg Convertible has weak predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 7th of December 2025 to 22nd of December 2025 and 22nd of December 2025 to 6th of January 2026. 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 Conve price movement. The serial correlation of 0.21 indicates that over 21.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.87 |
SPDR Bloomberg Conve 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 Convertible.
Regressed Prices |
| Timeline |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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.