Correlation Between Fiskars Oyj and Geely Automobile
Can any of the company-specific risk be diversified away by investing in both Fiskars Oyj and Geely Automobile 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 Fiskars Oyj and Geely Automobile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fiskars Oyj Abp and Geely Automobile Holdings, you can compare the effects of market volatilities on Fiskars Oyj and Geely Automobile 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 Fiskars Oyj with a short position of Geely Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fiskars Oyj and Geely Automobile.
Diversification Opportunities for Fiskars Oyj and Geely Automobile
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fiskars and Geely is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Fiskars Oyj Abp and Geely Automobile Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Geely Automobile Holdings and Fiskars Oyj 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 Fiskars Oyj Abp are associated (or correlated) with Geely Automobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Geely Automobile Holdings has no effect on the direction of Fiskars Oyj i.e., Fiskars Oyj and Geely Automobile go up and down completely randomly.
Pair Corralation between Fiskars Oyj and Geely Automobile
Assuming the 90 days horizon Fiskars Oyj is expected to generate 52.77 times less return on investment than Geely Automobile. But when comparing it to its historical volatility, Fiskars Oyj Abp is 1.74 times less risky than Geely Automobile. It trades about 0.0 of its potential returns per unit of risk. Geely Automobile Holdings is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 95.00 in Geely Automobile Holdings on October 4, 2024 and sell it today you would earn a total of 84.00 from holding Geely Automobile Holdings or generate 88.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fiskars Oyj Abp vs. Geely Automobile Holdings
Performance |
Timeline |
Fiskars Oyj Abp |
Geely Automobile Holdings |
Fiskars Oyj and Geely Automobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fiskars Oyj and Geely Automobile
The main advantage of trading using opposite Fiskars Oyj and Geely Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fiskars Oyj position performs unexpectedly, Geely Automobile 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 Geely Automobile will offset losses from the drop in Geely Automobile's long position.Fiskars Oyj vs. Delta Electronics Public | Fiskars Oyj vs. Nanjing Panda Electronics | Fiskars Oyj vs. Burlington Stores | Fiskars Oyj vs. Caseys General Stores |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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