Correlation Between Internet Thailand and Caseys General
Can any of the company-specific risk be diversified away by investing in both Internet Thailand and Caseys General 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 Caseys General 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 Caseys General Stores, you can compare the effects of market volatilities on Internet Thailand and Caseys General 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 Caseys General. Check out your portfolio center. Please also check ongoing floating volatility patterns of Internet Thailand and Caseys General.
Diversification Opportunities for Internet Thailand and Caseys General
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Internet and Caseys is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Internet Thailand PCL and Caseys General Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Caseys General Stores 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 Caseys General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Caseys General Stores has no effect on the direction of Internet Thailand i.e., Internet Thailand and Caseys General go up and down completely randomly.
Pair Corralation between Internet Thailand and Caseys General
Assuming the 90 days trading horizon Internet Thailand PCL is expected to generate 27.71 times more return on investment than Caseys General. However, Internet Thailand is 27.71 times more volatile than Caseys General Stores. It trades about 0.04 of its potential returns per unit of risk. Caseys General Stores is currently generating about 0.08 per unit of risk. If you would invest 14.00 in Internet Thailand PCL on October 23, 2024 and sell it today you would earn a total of 1.00 from holding Internet Thailand PCL or generate 7.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
Internet Thailand PCL vs. Caseys General Stores
Performance |
Timeline |
Internet Thailand PCL |
Caseys General Stores |
Internet Thailand and Caseys General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Internet Thailand and Caseys General
The main advantage of trading using opposite Internet Thailand and Caseys General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Internet Thailand position performs unexpectedly, Caseys General 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 Caseys General will offset losses from the drop in Caseys General's long position.Internet Thailand vs. CarsalesCom | Internet Thailand vs. Entravision Communications | Internet Thailand vs. Tower One Wireless | Internet Thailand vs. YATRA ONLINE DL 0001 |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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