Correlation Between CATLIN GROUP and Franklin FTSE
Can any of the company-specific risk be diversified away by investing in both CATLIN GROUP and Franklin FTSE 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 CATLIN GROUP and Franklin FTSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CATLIN GROUP and Franklin FTSE Brazil, you can compare the effects of market volatilities on CATLIN GROUP and Franklin FTSE 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 CATLIN GROUP with a short position of Franklin FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of CATLIN GROUP and Franklin FTSE.
Diversification Opportunities for CATLIN GROUP and Franklin FTSE
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CATLIN and Franklin is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding CATLIN GROUP and Franklin FTSE Brazil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin FTSE Brazil and CATLIN GROUP 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 CATLIN GROUP are associated (or correlated) with Franklin FTSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin FTSE Brazil has no effect on the direction of CATLIN GROUP i.e., CATLIN GROUP and Franklin FTSE go up and down completely randomly.
Pair Corralation between CATLIN GROUP and Franklin FTSE
Assuming the 90 days trading horizon CATLIN GROUP is expected to under-perform the Franklin FTSE. But the stock apears to be less risky and, when comparing its historical volatility, CATLIN GROUP is 2.06 times less risky than Franklin FTSE. The stock trades about -0.28 of its potential returns per unit of risk. The Franklin FTSE Brazil is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 1,664 in Franklin FTSE Brazil on October 20, 2024 and sell it today you would earn a total of 90.00 from holding Franklin FTSE Brazil or generate 5.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CATLIN GROUP vs. Franklin FTSE Brazil
Performance |
Timeline |
CATLIN GROUP |
Franklin FTSE Brazil |
CATLIN GROUP and Franklin FTSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CATLIN GROUP and Franklin FTSE
The main advantage of trading using opposite CATLIN GROUP and Franklin FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CATLIN GROUP position performs unexpectedly, Franklin FTSE 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 Franklin FTSE will offset losses from the drop in Franklin FTSE's long position.CATLIN GROUP vs. Sartorius Stedim Biotech | CATLIN GROUP vs. Flow Traders NV | CATLIN GROUP vs. Travel Leisure Co | CATLIN GROUP vs. Raytheon Technologies 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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