Correlation Between Tainan Enterprises and Standard Foods
Can any of the company-specific risk be diversified away by investing in both Tainan Enterprises 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 Tainan Enterprises and Standard Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tainan Enterprises Co and Standard Foods Corp, you can compare the effects of market volatilities on Tainan Enterprises 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 Tainan Enterprises with a short position of Standard Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tainan Enterprises and Standard Foods.
Diversification Opportunities for Tainan Enterprises and Standard Foods
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Tainan and Standard is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Tainan Enterprises Co 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 Tainan Enterprises 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 Tainan Enterprises Co 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 Tainan Enterprises i.e., Tainan Enterprises and Standard Foods go up and down completely randomly.
Pair Corralation between Tainan Enterprises and Standard Foods
Assuming the 90 days trading horizon Tainan Enterprises Co is expected to under-perform the Standard Foods. In addition to that, Tainan Enterprises is 1.87 times more volatile than Standard Foods Corp. It trades about -0.2 of its total potential returns per unit of risk. Standard Foods Corp is currently generating about -0.26 per unit of volatility. If you would invest 3,780 in Standard Foods Corp on September 23, 2024 and sell it today you would lose (130.00) from holding Standard Foods Corp or give up 3.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tainan Enterprises Co vs. Standard Foods Corp
Performance |
Timeline |
Tainan Enterprises |
Standard Foods Corp |
Tainan Enterprises and Standard Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tainan Enterprises and Standard Foods
The main advantage of trading using opposite Tainan Enterprises and Standard Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tainan Enterprises 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.Tainan Enterprises vs. Merida Industry Co | Tainan Enterprises vs. Cheng Shin Rubber | Tainan Enterprises vs. Uni President Enterprises Corp | Tainan Enterprises vs. Pou Chen Corp |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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