Correlation Between Kbi Metal and Pyung Hwa
Can any of the company-specific risk be diversified away by investing in both Kbi Metal 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 Kbi Metal and Pyung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kbi Metal Co and Pyung Hwa Industrial, you can compare the effects of market volatilities on Kbi Metal 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 Kbi Metal with a short position of Pyung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kbi Metal and Pyung Hwa.
Diversification Opportunities for Kbi Metal and Pyung Hwa
Almost no diversification
The 3 months correlation between Kbi and Pyung is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Kbi Metal 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 Kbi Metal 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 Kbi Metal 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 Kbi Metal i.e., Kbi Metal and Pyung Hwa go up and down completely randomly.
Pair Corralation between Kbi Metal and Pyung Hwa
Assuming the 90 days trading horizon Kbi Metal Co is expected to under-perform the Pyung Hwa. In addition to that, Kbi Metal is 2.64 times more volatile than Pyung Hwa Industrial. It trades about -0.09 of its total potential returns per unit of risk. Pyung Hwa Industrial is currently generating about -0.08 per unit of volatility. If you would invest 100,400 in Pyung Hwa Industrial on September 17, 2024 and sell it today you would lose (9,200) from holding Pyung Hwa Industrial or give up 9.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kbi Metal Co vs. Pyung Hwa Industrial
Performance |
Timeline |
Kbi Metal |
Pyung Hwa Industrial |
Kbi Metal and Pyung Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kbi Metal and Pyung Hwa
The main advantage of trading using opposite Kbi Metal and Pyung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kbi Metal 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.Kbi Metal vs. Daou Data Corp | Kbi Metal vs. Solution Advanced Technology | Kbi Metal vs. Busan Industrial Co | Kbi Metal vs. Busan Ind |
Pyung Hwa vs. Stic Investments | Pyung Hwa vs. ECSTELECOM Co | Pyung Hwa vs. Lotte Data Communication | Pyung Hwa vs. Worldex Industry Trading |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
Other Complementary Tools
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |