Correlation Between ASX and SINGAPORE EXUNSPADR15
Can any of the company-specific risk be diversified away by investing in both ASX and SINGAPORE EXUNSPADR15 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 ASX and SINGAPORE EXUNSPADR15 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ASX LTD UNSPONSADR and SINGAPORE EXUNSPADR15, you can compare the effects of market volatilities on ASX and SINGAPORE EXUNSPADR15 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 ASX with a short position of SINGAPORE EXUNSPADR15. Check out your portfolio center. Please also check ongoing floating volatility patterns of ASX and SINGAPORE EXUNSPADR15.
Diversification Opportunities for ASX and SINGAPORE EXUNSPADR15
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ASX and SINGAPORE is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding ASX LTD UNSPONSADR and SINGAPORE EXUNSPADR15 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SINGAPORE EXUNSPADR15 and ASX 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 ASX LTD UNSPONSADR are associated (or correlated) with SINGAPORE EXUNSPADR15. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SINGAPORE EXUNSPADR15 has no effect on the direction of ASX i.e., ASX and SINGAPORE EXUNSPADR15 go up and down completely randomly.
Pair Corralation between ASX and SINGAPORE EXUNSPADR15
Assuming the 90 days trading horizon ASX is expected to generate 1.58 times less return on investment than SINGAPORE EXUNSPADR15. But when comparing it to its historical volatility, ASX LTD UNSPONSADR is 1.55 times less risky than SINGAPORE EXUNSPADR15. It trades about 0.1 of its potential returns per unit of risk. SINGAPORE EXUNSPADR15 is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1,494 in SINGAPORE EXUNSPADR15 on September 12, 2024 and sell it today you would earn a total of 166.00 from holding SINGAPORE EXUNSPADR15 or generate 11.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
ASX LTD UNSPONSADR vs. SINGAPORE EXUNSPADR15
Performance |
Timeline |
ASX LTD UNSPONSADR |
SINGAPORE EXUNSPADR15 |
ASX and SINGAPORE EXUNSPADR15 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ASX and SINGAPORE EXUNSPADR15
The main advantage of trading using opposite ASX and SINGAPORE EXUNSPADR15 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ASX position performs unexpectedly, SINGAPORE EXUNSPADR15 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 SINGAPORE EXUNSPADR15 will offset losses from the drop in SINGAPORE EXUNSPADR15's long position.ASX vs. Haverty Furniture Companies | ASX vs. ITALIAN WINE BRANDS | ASX vs. CHINA TONTINE WINES | ASX vs. URBAN OUTFITTERS |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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