Correlation Between Empire State and BANK CENTRAL
Can any of the company-specific risk be diversified away by investing in both Empire State and BANK CENTRAL 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 Empire State and BANK CENTRAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Empire State Realty and BANK CENTRAL ASIA, you can compare the effects of market volatilities on Empire State and BANK CENTRAL 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 Empire State with a short position of BANK CENTRAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Empire State and BANK CENTRAL.
Diversification Opportunities for Empire State and BANK CENTRAL
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Empire and BANK is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Empire State Realty and BANK CENTRAL ASIA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BANK CENTRAL ASIA and Empire State 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 Empire State Realty are associated (or correlated) with BANK CENTRAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BANK CENTRAL ASIA has no effect on the direction of Empire State i.e., Empire State and BANK CENTRAL go up and down completely randomly.
Pair Corralation between Empire State and BANK CENTRAL
Given the investment horizon of 90 days Empire State Realty is expected to generate 0.63 times more return on investment than BANK CENTRAL. However, Empire State Realty is 1.6 times less risky than BANK CENTRAL. It trades about 0.13 of its potential returns per unit of risk. BANK CENTRAL ASIA is currently generating about -0.06 per unit of risk. If you would invest 1,060 in Empire State Realty on September 1, 2024 and sell it today you would earn a total of 36.00 from holding Empire State Realty or generate 3.4% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 91.3% |
| Values | Daily Returns |
Empire State Realty vs. BANK CENTRAL ASIA
Performance |
| Timeline |
| Empire State Realty |
| BANK CENTRAL ASIA |
Empire State and BANK CENTRAL Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Empire State and BANK CENTRAL
The main advantage of trading using opposite Empire State and BANK CENTRAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Empire State position performs unexpectedly, BANK CENTRAL 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 BANK CENTRAL will offset losses from the drop in BANK CENTRAL's long position.| Empire State vs. Paramount Group | Empire State vs. Hudson Pacific Properties | Empire State vs. Equity Commonwealth | Empire State vs. Douglas Emmett |
| BANK CENTRAL vs. SIVERS SEMICONDUCTORS AB | BANK CENTRAL vs. Darden Restaurants | BANK CENTRAL vs. Reliance Steel Aluminum | BANK CENTRAL vs. Q2M Managementberatung AG |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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