Swiss Re Stock Math Transform Price Common Logarithm
| SSREY Stock | USD 37.20 0.21 0.57% |
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The output start index for this execution was zero with a total number of output elements of sixty-one. Swiss Re Price Common Logarithm is logarithm with base 10 applied on the entire pricing series.
Swiss Re Technical Analysis Modules
Most technical analysis of Swiss Re 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 Swiss from various momentum indicators to cycle indicators. When you analyze Swiss 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 Swiss Re 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 Swiss Re. We use our internally-developed statistical techniques to arrive at the intrinsic value of Swiss Re based on widely used predictive technical indicators. In general, we focus on analyzing Swiss Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Swiss Re's daily price indicators and compare them against related drivers, such as math transform 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 Swiss Re's intrinsic value. In addition to deriving basic predictive indicators for Swiss Re, we also check how macroeconomic factors affect Swiss Re 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 Swiss Re'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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Swiss Re 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 Swiss Re 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 Swiss Re will appreciate offsetting losses from the drop in the long position's value.Swiss Re Pair Trading
Swiss Re Pair Trading Analysis
The ability to find closely correlated positions to Swiss Re could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Swiss Re 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 Swiss Re - 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 Swiss Re to buy it.
The correlation of Swiss Re 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 Swiss Re moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Swiss Re 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 Swiss Re 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.Additional Tools for Swiss Pink Sheet Analysis
When running Swiss Re's price analysis, check to measure Swiss Re's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Swiss Re is operating at the current time. Most of Swiss Re's value examination focuses on studying past and present price action to predict the probability of Swiss Re's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Swiss Re's price. Additionally, you may evaluate how the addition of Swiss Re to your portfolios can decrease your overall portfolio volatility.