SPDR Index (Mexico) Market Value
| FEZ Etf | MXN 1,113 6.72 0.61% |
| Symbol | SPDR |
SPDR Index '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 Index'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 Index.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in SPDR Index on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Index Shares or generate 0.0% return on investment in SPDR Index over 90 days. SPDR Index is related to or competes with SPDR Dow, SPDR Gold, SPDR SP, SPDR Series, SPDR SP, SPDR Series, and SPDR Series. The investment seeks investment results that, before fees and expenses, correspond generally to the total return perform... More
SPDR Index 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 Index'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 Index Shares upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.2261 | |||
| Maximum Drawdown | 10.74 | |||
| Potential Upside | 0.3173 |
SPDR Index Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Index's standard deviation. In reality, there are many statistical measures that can use SPDR Index historical prices to predict the future SPDR Index's volatility.| Risk Adjusted Performance | 0.1358 | |||
| Jensen Alpha | 0.1611 | |||
| Total Risk Alpha | 0.3605 | |||
| Treynor Ratio | (0.66) |
SPDR Index Shares Backtested Returns
At this stage we consider SPDR Etf to be very steady. SPDR Index Shares owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the etf had a 0.14 % return per unit of volatility over the last 3 months. We have found twenty technical indicators for SPDR Index Shares, which you can use to evaluate the volatility of the etf. Please validate SPDR Index's risk adjusted performance of 0.1358, and Variance of 1.79 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. The entity has a beta of -0.29, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR Index are expected to decrease at a much lower rate. During the bear market, SPDR Index is likely to outperform the market.
Auto-correlation | 0.31 |
Below average predictability
SPDR Index Shares has below average predictability. Overlapping area represents the amount of predictability between SPDR Index time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. 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 Index Shares price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current SPDR Index price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 2820.01 |
SPDR Index Shares lagged returns against current returns
Autocorrelation, which is SPDR Index 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 Index's etf expected returns. We can calculate the autocorrelation of SPDR Index returns to help us make a trade decision. For example, suppose you find that SPDR Index 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 Index 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 Index etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Index etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Index etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Index Lagged Returns
When evaluating SPDR Index's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Index etf have on its future price. SPDR Index 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 Index autocorrelation shows the relationship between SPDR Index etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Index Shares.
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.Other Information on Investing in SPDR Etf
SPDR Index 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 Index security.