SPDR Barclays (UK) Market Value
| LUSC Etf | 27.13 0.03 0.11% |
| Symbol | SPDR |
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.
| 12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in SPDR Barclays on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding SPDR Barclays 10 or generate 0.0% return on investment in SPDR Barclays over 720 days. SPDR Barclays is related to or competes with SPDR Dow, SPDR SP, SPDR Barclays, SPDR SP, SPDR SP, SPDR SP, and SPDR Morningstar. SPDR Barclays is entity of United Kingdom 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 10 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 2.68 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 0.9733 |
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 | (0.06) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 0.7016 |
SPDR Barclays 10 Backtested Returns
SPDR Barclays 10 owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0796, which indicates the etf had a -0.0796% return per unit of volatility over the last 3 months. SPDR Barclays 10 exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR Barclays' variance of 0.3662, and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The entity has a beta of -0.0752, 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 | -0.65 |
Very good reverse predictability
SPDR Barclays 10 has very good reverse predictability. Overlapping area represents the amount of predictability between SPDR Barclays time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th 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 10 price movement. The serial correlation of -0.65 indicates that roughly 65.0% of current SPDR Barclays price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | -0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.65 |
SPDR Barclays 10 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 10.
Regressed Prices |
| Timeline |
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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.Other Information on Investing in SPDR Etf
SPDR Barclays financial ratios help investors to determine whether SPDR Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SPDR with respect to the benefits of owning SPDR Barclays security.