Correlation Between Public Storage and GungHo Online
Can any of the company-specific risk be diversified away by investing in both Public Storage and GungHo Online 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 Public Storage and GungHo Online into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Public Storage and GungHo Online Entertainment, you can compare the effects of market volatilities on Public Storage and GungHo Online 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 Public Storage with a short position of GungHo Online. Check out your portfolio center. Please also check ongoing floating volatility patterns of Public Storage and GungHo Online.
Diversification Opportunities for Public Storage and GungHo Online
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Public and GungHo is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Public Storage and GungHo Online Entertainment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GungHo Online Entert and Public Storage 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 Public Storage are associated (or correlated) with GungHo Online. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GungHo Online Entert has no effect on the direction of Public Storage i.e., Public Storage and GungHo Online go up and down completely randomly.
Pair Corralation between Public Storage and GungHo Online
Assuming the 90 days horizon Public Storage is expected to under-perform the GungHo Online. But the stock apears to be less risky and, when comparing its historical volatility, Public Storage is 1.44 times less risky than GungHo Online. The stock trades about -0.45 of its potential returns per unit of risk. The GungHo Online Entertainment is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 1,790 in GungHo Online Entertainment on September 24, 2024 and sell it today you would earn a total of 140.00 from holding GungHo Online Entertainment or generate 7.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Public Storage vs. GungHo Online Entertainment
Performance |
Timeline |
Public Storage |
GungHo Online Entert |
Public Storage and GungHo Online Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Public Storage and GungHo Online
The main advantage of trading using opposite Public Storage and GungHo Online positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Public Storage position performs unexpectedly, GungHo Online 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 GungHo Online will offset losses from the drop in GungHo Online's long position.Public Storage vs. Prologis | Public Storage vs. SEGRO Plc | Public Storage vs. Yara International ASA | Public Storage vs. EastGroup Properties |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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