Correlation Between Internet Thailand and GOLD ROAD
Can any of the company-specific risk be diversified away by investing in both Internet Thailand and GOLD ROAD 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 Internet Thailand and GOLD ROAD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Internet Thailand PCL and GOLD ROAD RES, you can compare the effects of market volatilities on Internet Thailand and GOLD ROAD 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 Internet Thailand with a short position of GOLD ROAD. Check out your portfolio center. Please also check ongoing floating volatility patterns of Internet Thailand and GOLD ROAD.
Diversification Opportunities for Internet Thailand and GOLD ROAD
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Internet and GOLD is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Internet Thailand PCL and GOLD ROAD RES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GOLD ROAD RES and Internet Thailand 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 Internet Thailand PCL are associated (or correlated) with GOLD ROAD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GOLD ROAD RES has no effect on the direction of Internet Thailand i.e., Internet Thailand and GOLD ROAD go up and down completely randomly.
Pair Corralation between Internet Thailand and GOLD ROAD
Assuming the 90 days trading horizon Internet Thailand PCL is expected to under-perform the GOLD ROAD. In addition to that, Internet Thailand is 2.1 times more volatile than GOLD ROAD RES. It trades about -0.02 of its total potential returns per unit of risk. GOLD ROAD RES is currently generating about 0.1 per unit of volatility. If you would invest 121.00 in GOLD ROAD RES on December 24, 2024 and sell it today you would earn a total of 16.00 from holding GOLD ROAD RES or generate 13.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Internet Thailand PCL vs. GOLD ROAD RES
Performance |
Timeline |
Internet Thailand PCL |
GOLD ROAD RES |
Internet Thailand and GOLD ROAD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Internet Thailand and GOLD ROAD
The main advantage of trading using opposite Internet Thailand and GOLD ROAD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Internet Thailand position performs unexpectedly, GOLD ROAD 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 GOLD ROAD will offset losses from the drop in GOLD ROAD's long position.Internet Thailand vs. FUYO GENERAL LEASE | Internet Thailand vs. DISTRICT METALS | Internet Thailand vs. Sixt Leasing SE | Internet Thailand vs. Harmony Gold Mining |
GOLD ROAD vs. ON SEMICONDUCTOR | GOLD ROAD vs. WILLIS LEASE FIN | GOLD ROAD vs. Sixt Leasing SE | GOLD ROAD vs. Darden Restaurants |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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