Spdr Barclays Long Etf Market Value
| SPLB Etf | USD 22.79 0.01 0.04% |
| Symbol | SPDR |
The market value of SPDR Barclays Long 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 Barclays' value that differs from its market value or its book value, called intrinsic value, which is SPDR Barclays' 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 Barclays' market value can be influenced by many factors that don't directly affect SPDR Barclays' 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 Barclays' value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Barclays is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Barclays' 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 Barclays '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 Barclays' 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 Barclays.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in SPDR Barclays on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Barclays Long or generate 0.0% return on investment in SPDR Barclays over 30 days. SPDR Barclays is related to or competes with IShares 10, SPDR Barclays, SPDR Barclays, FlexShares Credit, and SPDR Barclays. The fund generally invests substantially all, but at least 80, of its total assets in the securities comprising the inde... More
SPDR Barclays 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 Barclays' 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 Barclays Long upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 3.09 | |||
| Value At Risk | (1.10) | |||
| Potential Upside | 0.8651 |
SPDR Barclays Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Barclays' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Barclays' standard deviation. In reality, there are many statistical measures that can use SPDR Barclays historical prices to predict the future SPDR Barclays' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 1.55 |
SPDR Barclays Long Backtested Returns
SPDR Barclays Long owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0869, which indicates the etf had a -0.0869% return per unit of volatility over the last 3 months. SPDR Barclays Long exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR Barclays' variance of 0.3901, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of -0.0414, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR Barclays are expected to decrease at a much lower rate. During the bear market, SPDR Barclays is likely to outperform the market.
Auto-correlation | 0.10 |
Insignificant predictability
SPDR Barclays Long has insignificant predictability. Overlapping area represents the amount of predictability between SPDR Barclays time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Barclays Long price movement. The serial correlation of 0.1 indicates that less than 10.0% of current SPDR Barclays price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
SPDR Barclays Long lagged returns against current returns
Autocorrelation, which is SPDR Barclays 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 Barclays' etf expected returns. We can calculate the autocorrelation of SPDR Barclays returns to help us make a trade decision. For example, suppose you find that SPDR Barclays 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 Barclays 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 Barclays etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Barclays etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Barclays etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Barclays Lagged Returns
When evaluating SPDR Barclays' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Barclays etf have on its future price. SPDR Barclays 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 Barclays autocorrelation shows the relationship between SPDR Barclays etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Barclays Long.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether SPDR Barclays Long is a strong investment it is important to analyze SPDR Barclays' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SPDR Barclays' future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:Check out SPDR Barclays Correlation, SPDR Barclays Volatility and SPDR Barclays Alpha and Beta module to complement your research on SPDR Barclays. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
SPDR Barclays 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.