Correlation Between Lalin Property and Nava Nakorn
Can any of the company-specific risk be diversified away by investing in both Lalin Property and Nava Nakorn 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 Lalin Property and Nava Nakorn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lalin Property Public and Nava Nakorn Public, you can compare the effects of market volatilities on Lalin Property and Nava Nakorn 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 Lalin Property with a short position of Nava Nakorn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lalin Property and Nava Nakorn.
Diversification Opportunities for Lalin Property and Nava Nakorn
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lalin and Nava is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Lalin Property Public and Nava Nakorn Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nava Nakorn Public and Lalin Property 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 Lalin Property Public are associated (or correlated) with Nava Nakorn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nava Nakorn Public has no effect on the direction of Lalin Property i.e., Lalin Property and Nava Nakorn go up and down completely randomly.
Pair Corralation between Lalin Property and Nava Nakorn
Assuming the 90 days trading horizon Lalin Property Public is expected to under-perform the Nava Nakorn. But the stock apears to be less risky and, when comparing its historical volatility, Lalin Property Public is 94.24 times less risky than Nava Nakorn. The stock trades about -0.07 of its potential returns per unit of risk. The Nava Nakorn Public is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 179.00 in Nava Nakorn Public on November 3, 2024 and sell it today you would lose (15.00) from holding Nava Nakorn Public or give up 8.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lalin Property Public vs. Nava Nakorn Public
Performance |
Timeline |
Lalin Property Public |
Nava Nakorn Public |
Lalin Property and Nava Nakorn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lalin Property and Nava Nakorn
The main advantage of trading using opposite Lalin Property and Nava Nakorn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lalin Property position performs unexpectedly, Nava Nakorn 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 Nava Nakorn will offset losses from the drop in Nava Nakorn's long position.Lalin Property vs. AP Public | Lalin Property vs. Land and Houses | Lalin Property vs. LPN Development Public | Lalin Property vs. Supalai Public |
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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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
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