Correlation Between Land and SC Asset
Can any of the company-specific risk be diversified away by investing in both Land and SC Asset 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 Land and SC Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Land and Houses and SC Asset, you can compare the effects of market volatilities on Land and SC Asset 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 Land with a short position of SC Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Land and SC Asset.
Diversification Opportunities for Land and SC Asset
Modest diversification
The 3 months correlation between Land and SC Asset is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Land and Houses and SC Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SC Asset and Land 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 Land and Houses are associated (or correlated) with SC Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SC Asset has no effect on the direction of Land i.e., Land and SC Asset go up and down completely randomly.
Pair Corralation between Land and SC Asset
Assuming the 90 days horizon Land and Houses is expected to generate 1.37 times more return on investment than SC Asset. However, Land is 1.37 times more volatile than SC Asset. It trades about -0.02 of its potential returns per unit of risk. SC Asset is currently generating about -0.17 per unit of risk. If you would invest 544.00 in Land and Houses on September 3, 2024 and sell it today you would lose (4.00) from holding Land and Houses or give up 0.74% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Land and Houses vs. SC Asset
Performance |
| Timeline |
| Land and Houses |
| SC Asset |
Land and SC Asset Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Land and SC Asset
The main advantage of trading using opposite Land and SC Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Land position performs unexpectedly, SC Asset 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 SC Asset will offset losses from the drop in SC Asset's long position.The idea behind Land and Houses and SC Asset 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.| SC Asset vs. Pato Chemical Industry | SC Asset vs. KTBST Mixed Leasehold | SC Asset vs. Saksiam Leasing Public | SC Asset vs. PINTHONG INDUSTRIAL PARK |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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