Correlation Between WHA Industrial and Krung Thai
Can any of the company-specific risk be diversified away by investing in both WHA Industrial and Krung Thai 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 WHA Industrial and Krung Thai into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WHA Industrial Leasehold and Krung Thai Bank, you can compare the effects of market volatilities on WHA Industrial and Krung Thai 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 WHA Industrial with a short position of Krung Thai. Check out your portfolio center. Please also check ongoing floating volatility patterns of WHA Industrial and Krung Thai.
Diversification Opportunities for WHA Industrial and Krung Thai
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between WHA and Krung is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding WHA Industrial Leasehold and Krung Thai Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Krung Thai Bank and WHA Industrial 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 WHA Industrial Leasehold are associated (or correlated) with Krung Thai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Krung Thai Bank has no effect on the direction of WHA Industrial i.e., WHA Industrial and Krung Thai go up and down completely randomly.
Pair Corralation between WHA Industrial and Krung Thai
Assuming the 90 days trading horizon WHA Industrial Leasehold is expected to generate 1.03 times more return on investment than Krung Thai. However, WHA Industrial is 1.03 times more volatile than Krung Thai Bank. It trades about 0.15 of its potential returns per unit of risk. Krung Thai Bank is currently generating about 0.13 per unit of risk. If you would invest 583.00 in WHA Industrial Leasehold on August 31, 2024 and sell it today you would earn a total of 67.00 from holding WHA Industrial Leasehold or generate 11.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
WHA Industrial Leasehold vs. Krung Thai Bank
Performance |
Timeline |
WHA Industrial Leasehold |
Krung Thai Bank |
WHA Industrial and Krung Thai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WHA Industrial and Krung Thai
The main advantage of trading using opposite WHA Industrial and Krung Thai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WHA Industrial position performs unexpectedly, Krung Thai 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 Krung Thai will offset losses from the drop in Krung Thai's long position.WHA Industrial vs. LH Shopping Centers | WHA Industrial vs. HEMARAJ INDUSTRIAL PROPERTY | WHA Industrial vs. Land and Houses |
Krung Thai vs. The Siam Commercial | Krung Thai vs. Thai Oil Public | Krung Thai vs. Thai Union Group | Krung Thai vs. Kasikornbank Public |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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