Correlation Between Taiwan Tea and Standard Foods
Can any of the company-specific risk be diversified away by investing in both Taiwan Tea and Standard Foods 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 Taiwan Tea and Standard Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Taiwan Tea Corp and Standard Foods Corp, you can compare the effects of market volatilities on Taiwan Tea and Standard Foods 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 Taiwan Tea with a short position of Standard Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Taiwan Tea and Standard Foods.
Diversification Opportunities for Taiwan Tea and Standard Foods
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Taiwan and Standard is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Taiwan Tea Corp and Standard Foods Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Standard Foods Corp and Taiwan Tea 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 Taiwan Tea Corp are associated (or correlated) with Standard Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Standard Foods Corp has no effect on the direction of Taiwan Tea i.e., Taiwan Tea and Standard Foods go up and down completely randomly.
Pair Corralation between Taiwan Tea and Standard Foods
Assuming the 90 days trading horizon Taiwan Tea Corp is expected to generate 2.48 times more return on investment than Standard Foods. However, Taiwan Tea is 2.48 times more volatile than Standard Foods Corp. It trades about 0.02 of its potential returns per unit of risk. Standard Foods Corp is currently generating about -0.02 per unit of risk. If you would invest 2,070 in Taiwan Tea Corp on September 13, 2024 and sell it today you would earn a total of 25.00 from holding Taiwan Tea Corp or generate 1.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Taiwan Tea Corp vs. Standard Foods Corp
Performance |
Timeline |
Taiwan Tea Corp |
Standard Foods Corp |
Taiwan Tea and Standard Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Taiwan Tea and Standard Foods
The main advantage of trading using opposite Taiwan Tea and Standard Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taiwan Tea position performs unexpectedly, Standard Foods 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 Standard Foods will offset losses from the drop in Standard Foods' long position.Taiwan Tea vs. Far Eastern Department | Taiwan Tea vs. BES Engineering Co | Taiwan Tea vs. Ton Yi Industrial | Taiwan Tea vs. Evergreen International Storage |
Standard Foods vs. Uni President Enterprises Corp | Standard Foods vs. Great Wall Enterprise | Standard Foods vs. Ruentex Development Co | Standard Foods vs. WiseChip Semiconductor |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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