Xie Huang - Chaoda Modern Insider
Stakeholder Xie Huang is not found or was disassociated from the entity Chaoda Modern Agriculture
If you believe Xie Huang is a valid insider of Chaoda Modern Agriculture please let us know and we will check it out.
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Pair Trading with Chaoda Modern
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 Chaoda Modern 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 Chaoda Modern will appreciate offsetting losses from the drop in the long position's value.Moving against Chaoda Pink Sheet
| 1.0 | KLKBF | Kuala Lumpur Kepong | PairCorr |
The ability to find closely correlated positions to Chaoda Modern could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Chaoda Modern 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 Chaoda Modern - 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 Chaoda Modern Agriculture to buy it.
The correlation of Chaoda Modern 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 Chaoda Modern moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Chaoda Modern Agriculture 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 Chaoda Modern 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Chaoda Modern Agriculture. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in rate. Note that the Chaoda Modern Agriculture information on this page should be used as a complementary analysis to other Chaoda Modern'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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Chaoda Pink Sheet analysis
When running Chaoda Modern's price analysis, check to measure Chaoda Modern'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 Chaoda Modern is operating at the current time. Most of Chaoda Modern's value examination focuses on studying past and present price action to predict the probability of Chaoda Modern's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Chaoda Modern's price. Additionally, you may evaluate how the addition of Chaoda Modern to your portfolios can decrease your overall portfolio volatility.
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