Correlation Between Franklin Templeton and WBI Power
Can any of the company-specific risk be diversified away by investing in both Franklin Templeton and WBI Power 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 Franklin Templeton and WBI Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Templeton ETF and WBI Power Factor, you can compare the effects of market volatilities on Franklin Templeton and WBI Power 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 Franklin Templeton with a short position of WBI Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Templeton and WBI Power.
Diversification Opportunities for Franklin Templeton and WBI Power
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Franklin and WBI is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Templeton ETF and WBI Power Factor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WBI Power Factor and Franklin Templeton 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 Franklin Templeton ETF are associated (or correlated) with WBI Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WBI Power Factor has no effect on the direction of Franklin Templeton i.e., Franklin Templeton and WBI Power go up and down completely randomly.
Pair Corralation between Franklin Templeton and WBI Power
Given the investment horizon of 90 days Franklin Templeton ETF is expected to generate 0.82 times more return on investment than WBI Power. However, Franklin Templeton ETF is 1.21 times less risky than WBI Power. It trades about 0.07 of its potential returns per unit of risk. WBI Power Factor is currently generating about 0.0 per unit of risk. If you would invest 2,675 in Franklin Templeton ETF on December 27, 2024 and sell it today you would earn a total of 89.38 from holding Franklin Templeton ETF or generate 3.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Templeton ETF vs. WBI Power Factor
Performance |
Timeline |
Franklin Templeton ETF |
WBI Power Factor |
Franklin Templeton and WBI Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Templeton and WBI Power
The main advantage of trading using opposite Franklin Templeton and WBI Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Templeton position performs unexpectedly, WBI Power 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 WBI Power will offset losses from the drop in WBI Power's long position.Franklin Templeton vs. Franklin Core Dividend | Franklin Templeton vs. Franklin International Core | Franklin Templeton vs. WisdomTree Trust | Franklin Templeton vs. First Trust Exchange Traded |
WBI Power vs. Strategy Shares | WBI Power vs. Freedom Day Dividend | WBI Power vs. Franklin Templeton ETF | WBI Power vs. iShares MSCI China |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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