Correlation Between Food Life and Singapore Telecommunicatio
Can any of the company-specific risk be diversified away by investing in both Food Life and Singapore Telecommunicatio 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 Food Life and Singapore Telecommunicatio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Food Life Companies and Singapore Telecommunications Limited, you can compare the effects of market volatilities on Food Life and Singapore Telecommunicatio 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 Food Life with a short position of Singapore Telecommunicatio. Check out your portfolio center. Please also check ongoing floating volatility patterns of Food Life and Singapore Telecommunicatio.
Diversification Opportunities for Food Life and Singapore Telecommunicatio
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Food and Singapore is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Food Life Companies and Singapore Telecommunications L in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore Telecommunicatio and Food Life 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 Food Life Companies are associated (or correlated) with Singapore Telecommunicatio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore Telecommunicatio has no effect on the direction of Food Life i.e., Food Life and Singapore Telecommunicatio go up and down completely randomly.
Pair Corralation between Food Life and Singapore Telecommunicatio
Assuming the 90 days horizon Food Life Companies is expected to generate 1.87 times more return on investment than Singapore Telecommunicatio. However, Food Life is 1.87 times more volatile than Singapore Telecommunications Limited. It trades about 0.19 of its potential returns per unit of risk. Singapore Telecommunications Limited is currently generating about 0.07 per unit of risk. If you would invest 2,000 in Food Life Companies on December 30, 2024 and sell it today you would earn a total of 780.00 from holding Food Life Companies or generate 39.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Food Life Companies vs. Singapore Telecommunications L
Performance |
Timeline |
Food Life Companies |
Singapore Telecommunicatio |
Food Life and Singapore Telecommunicatio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Food Life and Singapore Telecommunicatio
The main advantage of trading using opposite Food Life and Singapore Telecommunicatio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Food Life position performs unexpectedly, Singapore Telecommunicatio 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 Singapore Telecommunicatio will offset losses from the drop in Singapore Telecommunicatio's long position.Food Life vs. Kingdee International Software | Food Life vs. PLAYWAY SA ZY 10 | Food Life vs. FARO Technologies | Food Life vs. LG Display Co |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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