Correlation Between Betashares Asia and ETFS SP
Can any of the company-specific risk be diversified away by investing in both Betashares Asia and ETFS SP 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 Betashares Asia and ETFS SP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Betashares Asia Technology and ETFS SP Biotech, you can compare the effects of market volatilities on Betashares Asia and ETFS SP 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 Betashares Asia with a short position of ETFS SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Betashares Asia and ETFS SP.
Diversification Opportunities for Betashares Asia and ETFS SP
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Betashares and ETFS is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Betashares Asia Technology and ETFS SP Biotech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ETFS SP Biotech and Betashares Asia 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 Betashares Asia Technology are associated (or correlated) with ETFS SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ETFS SP Biotech has no effect on the direction of Betashares Asia i.e., Betashares Asia and ETFS SP go up and down completely randomly.
Pair Corralation between Betashares Asia and ETFS SP
Assuming the 90 days trading horizon Betashares Asia Technology is expected to generate 0.9 times more return on investment than ETFS SP. However, Betashares Asia Technology is 1.11 times less risky than ETFS SP. It trades about 0.15 of its potential returns per unit of risk. ETFS SP Biotech is currently generating about 0.06 per unit of risk. If you would invest 852.00 in Betashares Asia Technology on September 4, 2024 and sell it today you would earn a total of 117.00 from holding Betashares Asia Technology or generate 13.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Betashares Asia Technology vs. ETFS SP Biotech
Performance |
Timeline |
Betashares Asia Tech |
ETFS SP Biotech |
Betashares Asia and ETFS SP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Betashares Asia and ETFS SP
The main advantage of trading using opposite Betashares Asia and ETFS SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Betashares Asia position performs unexpectedly, ETFS SP 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 ETFS SP will offset losses from the drop in ETFS SP's long position.Betashares Asia vs. CD Private Equity | Betashares Asia vs. BetaShares Australia 200 | Betashares Asia vs. Australian High Interest | Betashares Asia vs. Airlie Australian Share |
ETFS SP vs. Betashares Asia Technology | ETFS SP vs. CD Private Equity | ETFS SP vs. BetaShares Australia 200 | ETFS SP vs. Australian High Interest |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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