Correlation Between Internet Thailand and BJs Restaurants
Can any of the company-specific risk be diversified away by investing in both Internet Thailand and BJs Restaurants 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 BJs Restaurants 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 BJs Restaurants, you can compare the effects of market volatilities on Internet Thailand and BJs Restaurants 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 BJs Restaurants. Check out your portfolio center. Please also check ongoing floating volatility patterns of Internet Thailand and BJs Restaurants.
Diversification Opportunities for Internet Thailand and BJs Restaurants
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Internet and BJs is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Internet Thailand PCL and BJs Restaurants in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BJs Restaurants 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 BJs Restaurants. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BJs Restaurants has no effect on the direction of Internet Thailand i.e., Internet Thailand and BJs Restaurants go up and down completely randomly.
Pair Corralation between Internet Thailand and BJs Restaurants
Assuming the 90 days trading horizon Internet Thailand PCL is expected to generate 1.93 times more return on investment than BJs Restaurants. However, Internet Thailand is 1.93 times more volatile than BJs Restaurants. It trades about 0.11 of its potential returns per unit of risk. BJs Restaurants is currently generating about 0.1 per unit of risk. If you would invest 12.00 in Internet Thailand PCL on September 24, 2024 and sell it today you would earn a total of 4.00 from holding Internet Thailand PCL or generate 33.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Internet Thailand PCL vs. BJs Restaurants
Performance |
Timeline |
Internet Thailand PCL |
BJs Restaurants |
Internet Thailand and BJs Restaurants Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Internet Thailand and BJs Restaurants
The main advantage of trading using opposite Internet Thailand and BJs Restaurants positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Internet Thailand position performs unexpectedly, BJs Restaurants 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 BJs Restaurants will offset losses from the drop in BJs Restaurants' long position.Internet Thailand vs. Apple Inc | Internet Thailand vs. Apple Inc | Internet Thailand vs. Apple Inc | Internet Thailand vs. Apple Inc |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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