Correlation Between Ford and Galata Wind
Can any of the company-specific risk be diversified away by investing in both Ford and Galata Wind 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 Ford and Galata Wind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Galata Wind Enerji, you can compare the effects of market volatilities on Ford and Galata Wind 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 Ford with a short position of Galata Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Galata Wind.
Diversification Opportunities for Ford and Galata Wind
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Galata is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Galata Wind Enerji in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galata Wind Enerji and Ford 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 Ford Motor are associated (or correlated) with Galata Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galata Wind Enerji has no effect on the direction of Ford i.e., Ford and Galata Wind go up and down completely randomly.
Pair Corralation between Ford and Galata Wind
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Galata Wind. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 1.33 times less risky than Galata Wind. The stock trades about -0.39 of its potential returns per unit of risk. The Galata Wind Enerji is currently generating about 0.43 of returns per unit of risk over similar time horizon. If you would invest 2,470 in Galata Wind Enerji on September 23, 2024 and sell it today you would earn a total of 500.00 from holding Galata Wind Enerji or generate 20.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Ford Motor vs. Galata Wind Enerji
Performance |
Timeline |
Ford Motor |
Galata Wind Enerji |
Ford and Galata Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Galata Wind
The main advantage of trading using opposite Ford and Galata Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Galata Wind 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 Galata Wind will offset losses from the drop in Galata Wind's long position.The idea behind Ford Motor and Galata Wind Enerji pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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