Correlation Between Shui On and Pinterest
Can any of the company-specific risk be diversified away by investing in both Shui On and Pinterest at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Shui On and Pinterest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shui On Land and Pinterest, you can compare the effects of market volatilities on Shui On and Pinterest and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Shui On with a short position of Pinterest. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shui On and Pinterest.
Diversification Opportunities for Shui On and Pinterest
Very good diversification
The 3 months correlation between Shui and Pinterest is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Shui On Land and Pinterest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pinterest and Shui On is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Shui On Land are associated (or correlated) with Pinterest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pinterest has no effect on the direction of Shui On i.e., Shui On and Pinterest go up and down completely randomly.
Pair Corralation between Shui On and Pinterest
Assuming the 90 days horizon Shui On Land is expected to generate 8.83 times more return on investment than Pinterest. However, Shui On is 8.83 times more volatile than Pinterest. It trades about 0.06 of its potential returns per unit of risk. Pinterest is currently generating about 0.03 per unit of risk. If you would invest 12.00 in Shui On Land on September 20, 2024 and sell it today you would lose (6.00) from holding Shui On Land or give up 50.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 30.24% |
Values | Daily Returns |
Shui On Land vs. Pinterest
Performance |
Timeline |
Shui On Land |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Shui On and Pinterest Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shui On and Pinterest
The main advantage of trading using opposite Shui On and Pinterest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shui On position performs unexpectedly, Pinterest 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 Pinterest will offset losses from the drop in Pinterest's long position.The idea behind Shui On Land and Pinterest pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Pinterest vs. Twilio Inc | Pinterest vs. Meta Platforms | Pinterest vs. Alphabet Inc Class C | Pinterest vs. Alphabet Inc Class A |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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