Correlation Between Kyung-In Synthetic and BNK Financial
Can any of the company-specific risk be diversified away by investing in both Kyung-In Synthetic and BNK Financial 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 Kyung-In Synthetic and BNK Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kyung In Synthetic Corp and BNK Financial Group, you can compare the effects of market volatilities on Kyung-In Synthetic and BNK Financial 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 Kyung-In Synthetic with a short position of BNK Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kyung-In Synthetic and BNK Financial.
Diversification Opportunities for Kyung-In Synthetic and BNK Financial
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kyung-In and BNK is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Kyung In Synthetic Corp and BNK Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNK Financial Group and Kyung-In Synthetic 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 Kyung In Synthetic Corp are associated (or correlated) with BNK Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BNK Financial Group has no effect on the direction of Kyung-In Synthetic i.e., Kyung-In Synthetic and BNK Financial go up and down completely randomly.
Pair Corralation between Kyung-In Synthetic and BNK Financial
Assuming the 90 days trading horizon Kyung In Synthetic Corp is expected to under-perform the BNK Financial. But the stock apears to be less risky and, when comparing its historical volatility, Kyung In Synthetic Corp is 1.31 times less risky than BNK Financial. The stock trades about -0.15 of its potential returns per unit of risk. The BNK Financial Group is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 904,000 in BNK Financial Group on September 28, 2024 and sell it today you would earn a total of 155,000 from holding BNK Financial Group or generate 17.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kyung In Synthetic Corp vs. BNK Financial Group
Performance |
Timeline |
Kyung In Synthetic |
BNK Financial Group |
Kyung-In Synthetic and BNK Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kyung-In Synthetic and BNK Financial
The main advantage of trading using opposite Kyung-In Synthetic and BNK Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kyung-In Synthetic position performs unexpectedly, BNK Financial 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 BNK Financial will offset losses from the drop in BNK Financial's long position.Kyung-In Synthetic vs. AptaBio Therapeutics | Kyung-In Synthetic vs. Wonbang Tech Co | Kyung-In Synthetic vs. Busan Industrial Co | Kyung-In Synthetic vs. Busan Ind |
BNK Financial vs. KB Financial Group | BNK Financial vs. Hyundai Motor | BNK Financial vs. Hyundai Motor Co | BNK Financial vs. Hyundai Motor Co |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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