Correlation Between Talanx AG and Fukuyama Transporting
Can any of the company-specific risk be diversified away by investing in both Talanx AG and Fukuyama Transporting 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 Talanx AG and Fukuyama Transporting into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Talanx AG and Fukuyama Transporting Co, you can compare the effects of market volatilities on Talanx AG and Fukuyama Transporting 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 Talanx AG with a short position of Fukuyama Transporting. Check out your portfolio center. Please also check ongoing floating volatility patterns of Talanx AG and Fukuyama Transporting.
Diversification Opportunities for Talanx AG and Fukuyama Transporting
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Talanx and Fukuyama is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Talanx AG and Fukuyama Transporting Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fukuyama Transporting and Talanx AG 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 Talanx AG are associated (or correlated) with Fukuyama Transporting. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fukuyama Transporting has no effect on the direction of Talanx AG i.e., Talanx AG and Fukuyama Transporting go up and down completely randomly.
Pair Corralation between Talanx AG and Fukuyama Transporting
Assuming the 90 days horizon Talanx AG is expected to generate 1.08 times more return on investment than Fukuyama Transporting. However, Talanx AG is 1.08 times more volatile than Fukuyama Transporting Co. It trades about -0.01 of its potential returns per unit of risk. Fukuyama Transporting Co is currently generating about -0.23 per unit of risk. If you would invest 8,155 in Talanx AG on October 5, 2024 and sell it today you would lose (30.00) from holding Talanx AG or give up 0.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Talanx AG vs. Fukuyama Transporting Co
Performance |
Timeline |
Talanx AG |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
Fukuyama Transporting |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Talanx AG and Fukuyama Transporting Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Talanx AG and Fukuyama Transporting
The main advantage of trading using opposite Talanx AG and Fukuyama Transporting positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Talanx AG position performs unexpectedly, Fukuyama Transporting 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 Fukuyama Transporting will offset losses from the drop in Fukuyama Transporting's long position.The idea behind Talanx AG and Fukuyama Transporting Co pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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