Correlation Between Chuangs China and JAPAN TOBACCO
Can any of the company-specific risk be diversified away by investing in both Chuangs China and JAPAN TOBACCO 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 Chuangs China and JAPAN TOBACCO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chuangs China Investments and JAPAN TOBACCO UNSPADR12, you can compare the effects of market volatilities on Chuangs China and JAPAN TOBACCO 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 Chuangs China with a short position of JAPAN TOBACCO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chuangs China and JAPAN TOBACCO.
Diversification Opportunities for Chuangs China and JAPAN TOBACCO
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Chuangs and JAPAN is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Chuangs China Investments and JAPAN TOBACCO UNSPADR12 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JAPAN TOBACCO UNSPADR12 and Chuangs China 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 Chuangs China Investments are associated (or correlated) with JAPAN TOBACCO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JAPAN TOBACCO UNSPADR12 has no effect on the direction of Chuangs China i.e., Chuangs China and JAPAN TOBACCO go up and down completely randomly.
Pair Corralation between Chuangs China and JAPAN TOBACCO
Assuming the 90 days horizon Chuangs China is expected to generate 16.7 times less return on investment than JAPAN TOBACCO. But when comparing it to its historical volatility, Chuangs China Investments is 1.88 times less risky than JAPAN TOBACCO. It trades about 0.0 of its potential returns per unit of risk. JAPAN TOBACCO UNSPADR12 is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,240 in JAPAN TOBACCO UNSPADR12 on September 3, 2024 and sell it today you would earn a total of 40.00 from holding JAPAN TOBACCO UNSPADR12 or generate 3.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chuangs China Investments vs. JAPAN TOBACCO UNSPADR12
Performance |
Timeline |
Chuangs China Investments |
JAPAN TOBACCO UNSPADR12 |
Chuangs China and JAPAN TOBACCO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chuangs China and JAPAN TOBACCO
The main advantage of trading using opposite Chuangs China and JAPAN TOBACCO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chuangs China position performs unexpectedly, JAPAN TOBACCO 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 JAPAN TOBACCO will offset losses from the drop in JAPAN TOBACCO's long position.Chuangs China vs. Treasury Wine Estates | Chuangs China vs. GigaMedia | Chuangs China vs. NAKED WINES PLC | Chuangs China vs. Tencent Music Entertainment |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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