Silicon Motion (Germany) Statistic Functions Linear Regression
| S9M Stock | 51.00 1.50 2.86% |
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Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of Silicon Motion Technology and its peer or benchmark and helps predict Silicon Motion future price from its past values.
Silicon Motion Technical Analysis Modules
Most technical analysis of Silicon Motion 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 Silicon from various momentum indicators to cycle indicators. When you analyze Silicon 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 Silicon Motion 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 Silicon Motion Technology. We use our internally-developed statistical techniques to arrive at the intrinsic value of Silicon Motion Technology based on widely used predictive technical indicators. In general, we focus on analyzing Silicon Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Silicon Motion'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 Silicon Motion's intrinsic value. In addition to deriving basic predictive indicators for Silicon Motion, we also check how macroeconomic factors affect Silicon Motion 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 Silicon Motion'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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Silicon Motion Technology 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 Silicon Motion 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 Silicon Motion will appreciate offsetting losses from the drop in the long position's value.Silicon Motion Pair Trading
Silicon Motion Technology Pair Trading Analysis
The ability to find closely correlated positions to Silicon Motion could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Silicon Motion 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 Silicon Motion - 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 Silicon Motion Technology to buy it.
The correlation of Silicon Motion 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 Silicon Motion moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Silicon Motion Technology 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 Silicon Motion 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 Silicon Stock Analysis
When running Silicon Motion's price analysis, check to measure Silicon Motion'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 Silicon Motion is operating at the current time. Most of Silicon Motion's value examination focuses on studying past and present price action to predict the probability of Silicon Motion's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silicon Motion's price. Additionally, you may evaluate how the addition of Silicon Motion to your portfolios can decrease your overall portfolio volatility.