Correlation Between FIRST SAVINGS and AOYAMA TRADING
Can any of the company-specific risk be diversified away by investing in both FIRST SAVINGS and AOYAMA TRADING 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 FIRST SAVINGS and AOYAMA TRADING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FIRST SAVINGS FINL and AOYAMA TRADING, you can compare the effects of market volatilities on FIRST SAVINGS and AOYAMA TRADING 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 FIRST SAVINGS with a short position of AOYAMA TRADING. Check out your portfolio center. Please also check ongoing floating volatility patterns of FIRST SAVINGS and AOYAMA TRADING.
Diversification Opportunities for FIRST SAVINGS and AOYAMA TRADING
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FIRST and AOYAMA is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding FIRST SAVINGS FINL and AOYAMA TRADING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AOYAMA TRADING and FIRST SAVINGS 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 FIRST SAVINGS FINL are associated (or correlated) with AOYAMA TRADING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AOYAMA TRADING has no effect on the direction of FIRST SAVINGS i.e., FIRST SAVINGS and AOYAMA TRADING go up and down completely randomly.
Pair Corralation between FIRST SAVINGS and AOYAMA TRADING
Assuming the 90 days horizon FIRST SAVINGS FINL is expected to generate 2.23 times more return on investment than AOYAMA TRADING. However, FIRST SAVINGS is 2.23 times more volatile than AOYAMA TRADING. It trades about -0.02 of its potential returns per unit of risk. AOYAMA TRADING is currently generating about -0.1 per unit of risk. If you would invest 2,224 in FIRST SAVINGS FINL on December 20, 2024 and sell it today you would lose (104.00) from holding FIRST SAVINGS FINL or give up 4.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
FIRST SAVINGS FINL vs. AOYAMA TRADING
Performance |
Timeline |
FIRST SAVINGS FINL |
AOYAMA TRADING |
FIRST SAVINGS and AOYAMA TRADING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FIRST SAVINGS and AOYAMA TRADING
The main advantage of trading using opposite FIRST SAVINGS and AOYAMA TRADING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FIRST SAVINGS position performs unexpectedly, AOYAMA TRADING 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 AOYAMA TRADING will offset losses from the drop in AOYAMA TRADING's long position.FIRST SAVINGS vs. SEKISUI CHEMICAL | FIRST SAVINGS vs. TRI CHEMICAL LABORATINC | FIRST SAVINGS vs. Eastman Chemical | FIRST SAVINGS vs. DATATEC LTD 2 |
AOYAMA TRADING vs. Neinor Homes SA | AOYAMA TRADING vs. INTERSHOP Communications Aktiengesellschaft | AOYAMA TRADING vs. BOVIS HOMES GROUP | AOYAMA TRADING vs. COMBA TELECOM SYST |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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