SPDR MSCI (Switzerland) Market Value
| STPX Etf | CHF 278.90 0.45 0.16% |
| Symbol | SPDR |
SPDR MSCI '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 MSCI'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 MSCI.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in SPDR MSCI on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR MSCI Europe or generate 0.0% return on investment in SPDR MSCI over 30 days. SPDR MSCI is related to or competes with SPDR MSCI, SPDR SP, SPDR MSCI, SPDR SP, SPDR MSCI, and SPDR MSCI. The investment objective of the tracker is to replicate the performance of the MSCI Europe Materials net dividends reinv... More
SPDR MSCI 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 MSCI'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 MSCI Europe upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 5.42 | |||
| Value At Risk | (1.68) | |||
| Potential Upside | 1.87 |
SPDR MSCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR MSCI's standard deviation. In reality, there are many statistical measures that can use SPDR MSCI historical prices to predict the future SPDR MSCI's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.12) |
SPDR MSCI Europe Backtested Returns
SPDR MSCI Europe owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0356, which indicates the etf had a -0.0356% return per unit of volatility over the last 3 months. SPDR MSCI Europe exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR MSCI's variance of 1.09, and Risk Adjusted Performance of (0.03) to confirm the risk estimate we provide. The entity has a beta of 0.44, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPDR MSCI's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR MSCI is expected to be smaller as well.
Auto-correlation | 0.20 |
Weak predictability
SPDR MSCI Europe has weak predictability. Overlapping area represents the amount of predictability between SPDR MSCI time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 MSCI Europe price movement. The serial correlation of 0.2 indicates that over 20.0% of current SPDR MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 6.94 |
SPDR MSCI Europe lagged returns against current returns
Autocorrelation, which is SPDR MSCI 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 MSCI's etf expected returns. We can calculate the autocorrelation of SPDR MSCI returns to help us make a trade decision. For example, suppose you find that SPDR MSCI 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 MSCI 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 MSCI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR MSCI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR MSCI etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR MSCI Lagged Returns
When evaluating SPDR MSCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR MSCI etf have on its future price. SPDR MSCI 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 MSCI autocorrelation shows the relationship between SPDR MSCI etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR MSCI Europe.
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 MSCI 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 MSCI security.