Correlation Between BIT Computer and Pyung Hwa
Can any of the company-specific risk be diversified away by investing in both BIT Computer and Pyung Hwa 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 BIT Computer and Pyung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BIT Computer Co and Pyung Hwa Industrial, you can compare the effects of market volatilities on BIT Computer and Pyung Hwa 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 BIT Computer with a short position of Pyung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIT Computer and Pyung Hwa.
Diversification Opportunities for BIT Computer and Pyung Hwa
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BIT and Pyung is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding BIT Computer Co and Pyung Hwa Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pyung Hwa Industrial and BIT Computer 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 BIT Computer Co are associated (or correlated) with Pyung Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pyung Hwa Industrial has no effect on the direction of BIT Computer i.e., BIT Computer and Pyung Hwa go up and down completely randomly.
Pair Corralation between BIT Computer and Pyung Hwa
Assuming the 90 days trading horizon BIT Computer Co is expected to under-perform the Pyung Hwa. But the stock apears to be less risky and, when comparing its historical volatility, BIT Computer Co is 4.75 times less risky than Pyung Hwa. The stock trades about -0.1 of its potential returns per unit of risk. The Pyung Hwa Industrial is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 89,000 in Pyung Hwa Industrial on December 29, 2024 and sell it today you would earn a total of 18,200 from holding Pyung Hwa Industrial or generate 20.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BIT Computer Co vs. Pyung Hwa Industrial
Performance |
Timeline |
BIT Computer |
Pyung Hwa Industrial |
BIT Computer and Pyung Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BIT Computer and Pyung Hwa
The main advantage of trading using opposite BIT Computer and Pyung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIT Computer position performs unexpectedly, Pyung Hwa 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 Pyung Hwa will offset losses from the drop in Pyung Hwa's long position.BIT Computer vs. Hanmi Semiconductor Co | BIT Computer vs. Golden Bridge Investment | BIT Computer vs. Korea Electronic Certification | BIT Computer vs. E Investment Development |
Pyung Hwa vs. Golden Bridge Investment | Pyung Hwa vs. Daeduck Electronics Co | Pyung Hwa vs. DAEDUCK ELECTRONICS CoLtd | Pyung Hwa vs. Sunny Electronics Corp |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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