Source Markets (Germany) Market Value
SC0W Etf | EUR 514.50 0.00 0.00% |
Symbol | Source |
Source Markets '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 Source Markets' 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 Source Markets.
07/02/2024 |
| 12/29/2024 |
If you would invest 0.00 in Source Markets on July 2, 2024 and sell it all today you would earn a total of 0.00 from holding Source Markets plc or generate 0.0% return on investment in Source Markets over 180 days. The investment seeks to replicate, net of expenses, the STOXX Europe 600 Optimised Basic Resources TR index More
Source Markets 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 Source Markets' 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 Source Markets plc upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.03) | |||
Maximum Drawdown | 9.17 | |||
Value At Risk | (2.74) | |||
Potential Upside | 2.32 |
Source Markets Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Source Markets' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Source Markets' standard deviation. In reality, there are many statistical measures that can use Source Markets historical prices to predict the future Source Markets' volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.08) | |||
Treynor Ratio | 0.0746 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Source Markets' 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.
Source Markets plc Backtested Returns
Source Markets plc owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the etf had a -0.15% return per unit of risk over the last 3 months. Source Markets plc exposes eighteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Source Markets' Variance of 2.46, risk adjusted performance of (0.01), and Coefficient Of Variation of (6,942) 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, returns on owning Source Markets are expected to decrease at a much lower rate. During the bear market, Source Markets is likely to outperform the market.
Auto-correlation | 0.37 |
Below average predictability
Source Markets plc has below average predictability. Overlapping area represents the amount of predictability between Source Markets time series from 2nd of July 2024 to 30th of September 2024 and 30th of September 2024 to 29th of December 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 Source Markets plc price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Source Markets price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.37 | |
Spearman Rank Test | 0.39 | |
Residual Average | 0.0 | |
Price Variance | 306.47 |
Source Markets plc lagged returns against current returns
Autocorrelation, which is Source Markets 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 Source Markets' etf expected returns. We can calculate the autocorrelation of Source Markets returns to help us make a trade decision. For example, suppose you find that Source Markets 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 |
Source Markets 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 Source Markets etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Source Markets etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Source Markets etf over time.
Current vs Lagged Prices |
Timeline |
Source Markets Lagged Returns
When evaluating Source Markets' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Source Markets etf have on its future price. Source Markets 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, Source Markets autocorrelation shows the relationship between Source Markets etf current value and its past values and can show if there is a momentum factor associated with investing in Source Markets plc.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Source Etf
Source Markets financial ratios help investors to determine whether Source 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 Source with respect to the benefits of owning Source Markets security.