Correlation Between TNEMAK and East West
Specify exactly 2 symbols:
By analyzing existing cross correlation between TNEMAK 3625 28 JUN 31 and East West Bancorp, you can compare the effects of market volatilities on TNEMAK and East West 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 TNEMAK with a short position of East West. Check out your portfolio center. Please also check ongoing floating volatility patterns of TNEMAK and East West.
Diversification Opportunities for TNEMAK and East West
Very weak diversification
The 3 months correlation between TNEMAK and East is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding TNEMAK 3625 28 JUN 31 and East West Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on East West Bancorp and TNEMAK 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 TNEMAK 3625 28 JUN 31 are associated (or correlated) with East West. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of East West Bancorp has no effect on the direction of TNEMAK i.e., TNEMAK and East West go up and down completely randomly.
Pair Corralation between TNEMAK and East West
Assuming the 90 days trading horizon TNEMAK 3625 28 JUN 31 is expected to generate 0.65 times more return on investment than East West. However, TNEMAK 3625 28 JUN 31 is 1.53 times less risky than East West. It trades about 0.68 of its potential returns per unit of risk. East West Bancorp is currently generating about -0.26 per unit of risk. If you would invest 7,794 in TNEMAK 3625 28 JUN 31 on October 11, 2024 and sell it today you would earn a total of 154.00 from holding TNEMAK 3625 28 JUN 31 or generate 1.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 14.29% |
Values | Daily Returns |
TNEMAK 3625 28 JUN 31 vs. East West Bancorp
Performance |
Timeline |
TNEMAK 3625 28 |
East West Bancorp |
TNEMAK and East West Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TNEMAK and East West
The main advantage of trading using opposite TNEMAK and East West positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TNEMAK position performs unexpectedly, East West 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 East West will offset losses from the drop in East West's long position.TNEMAK vs. East West Bancorp | TNEMAK vs. SLR Investment Corp | TNEMAK vs. Artisan Partners Asset | TNEMAK vs. PennantPark Investment |
East West vs. Barclays PLC ADR | East West vs. UBS Group AG | East West vs. ING Group NV | East West vs. Citigroup |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |