Swan Defined Risk Fund Statistic Functions Beta
| SDFCX Fund | USD 8.83 0.06 0.68% |
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The output start index for this execution was fifteen with a total number of output elements of fourty-six. The Beta measures systematic risk based on how returns on Swan Defined Risk correlated with the market. If Beta is less than 0 Swan Defined generally moves in the opposite direction as compared to the market. If Swan Defined Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Swan Defined Risk is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Swan Defined is generally in the same direction as the market. If Beta > 1 Swan Defined moves generally in the same direction as, but more than the movement of the benchmark.
Swan Defined Technical Analysis Modules
Most technical analysis of Swan Defined help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Swan from various momentum indicators to cycle indicators. When you analyze Swan charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Swan Defined Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Swan Defined Risk. We use our internally-developed statistical techniques to arrive at the intrinsic value of Swan Defined Risk based on widely used predictive technical indicators. In general, we focus on analyzing Swan Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Swan Defined's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Swan Defined's intrinsic value. In addition to deriving basic predictive indicators for Swan Defined, we also check how macroeconomic factors affect Swan Defined price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swan Defined's 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.
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Swan Defined Risk pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Swan Defined position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Swan Defined will appreciate offsetting losses from the drop in the long position's value.Swan Defined Pair Trading
Swan Defined Risk Pair Trading Analysis
The ability to find closely correlated positions to Swan Defined could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Swan Defined when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Swan Defined - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Swan Defined Risk to buy it.
The correlation of Swan Defined is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Swan Defined moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Swan Defined Risk moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Swan Defined can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Swan Defined Risk. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Swan Defined Risk information on this page should be used as a complementary analysis to other Swan Defined's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.