SPDR Series (Mexico) Market Value
| XBI Etf | MXN 1,413 23.50 1.64% |
| Symbol | SPDR |
SPDR Series '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 Series' 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 Series.
| 02/23/2024 |
| 04/23/2024 |
If you would invest 0.00 in SPDR Series on February 23, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Series Trust or generate 0.0% return on investment in SPDR Series over 60 days. SPDR Series is related to or competes with SPDR Dow, SPDR Gold, SPDR SP, SPDR Series, SPDR SP, SPDR Series, and SPDR Series. The investment seeks to provide investment results that, before fees and expenses, correspond generally to the total ret... More
SPDR Series 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 Series' 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 Series Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 9.97 | |||
| Value At Risk | (3.70) | |||
| Potential Upside | 2.67 |
SPDR Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Series' standard deviation. In reality, there are many statistical measures that can use SPDR Series historical prices to predict the future SPDR Series' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | (0.69) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR Series' 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 Series Trust Backtested Returns
SPDR Series Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0715, which indicates the etf had a -0.0715% return per unit of volatility over the last 3 months. SPDR Series Trust exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR Series' risk adjusted performance of (0.04), and Variance of 2.78 to confirm the risk estimate we provide. The entity has a beta of 0.22, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPDR Series' returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Series is expected to be smaller as well.
Auto-correlation | 0.70 |
Good predictability
SPDR Series Trust has good predictability. Overlapping area represents the amount of predictability between SPDR Series time series from 23rd of February 2024 to 24th of March 2024 and 24th of March 2024 to 23rd of April 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 Series Trust price movement. The serial correlation of 0.7 indicates that around 70.0% of current SPDR Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 2475.07 |
SPDR Series Trust lagged returns against current returns
Autocorrelation, which is SPDR Series 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 Series' etf expected returns. We can calculate the autocorrelation of SPDR Series returns to help us make a trade decision. For example, suppose you find that SPDR Series 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 Series 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 Series etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Series etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Series etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Series Lagged Returns
When evaluating SPDR Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Series etf have on its future price. SPDR Series 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 Series autocorrelation shows the relationship between SPDR Series etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Series Trust.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SPDR Series in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SPDR Series' short interest history, or implied volatility extrapolated from SPDR Series options trading.
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 Series Trust is a strong investment it is important to analyze SPDR Series' 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 Series' future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:Check out SPDR Series Correlation, SPDR Series Volatility and SPDR Series Alpha and Beta module to complement your research on SPDR Series. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
SPDR Series 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.