Correlation Between Hotai Finance and Kuang Hong
Can any of the company-specific risk be diversified away by investing in both Hotai Finance and Kuang Hong 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 Hotai Finance and Kuang Hong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hotai Finance Corp and Kuang Hong Arts, you can compare the effects of market volatilities on Hotai Finance and Kuang Hong 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 Hotai Finance with a short position of Kuang Hong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hotai Finance and Kuang Hong.
Diversification Opportunities for Hotai Finance and Kuang Hong
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hotai and Kuang is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Hotai Finance Corp and Kuang Hong Arts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kuang Hong Arts and Hotai Finance 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 Hotai Finance Corp are associated (or correlated) with Kuang Hong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kuang Hong Arts has no effect on the direction of Hotai Finance i.e., Hotai Finance and Kuang Hong go up and down completely randomly.
Pair Corralation between Hotai Finance and Kuang Hong
Assuming the 90 days trading horizon Hotai Finance Corp is expected to under-perform the Kuang Hong. But the stock apears to be less risky and, when comparing its historical volatility, Hotai Finance Corp is 1.48 times less risky than Kuang Hong. The stock trades about -0.34 of its potential returns per unit of risk. The Kuang Hong Arts is currently generating about 0.54 of returns per unit of risk over similar time horizon. If you would invest 7,330 in Kuang Hong Arts on September 29, 2024 and sell it today you would earn a total of 1,700 from holding Kuang Hong Arts or generate 23.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hotai Finance Corp vs. Kuang Hong Arts
Performance |
Timeline |
Hotai Finance Corp |
Kuang Hong Arts |
Hotai Finance and Kuang Hong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hotai Finance and Kuang Hong
The main advantage of trading using opposite Hotai Finance and Kuang Hong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hotai Finance position performs unexpectedly, Kuang Hong 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 Kuang Hong will offset losses from the drop in Kuang Hong's long position.Hotai Finance vs. Chailease Holding Co | Hotai Finance vs. Yulon Finance Corp | Hotai Finance vs. Pou Chen Corp | Hotai Finance vs. Ruentex Industries |
Kuang Hong vs. Taiwan Optical Platform | Kuang Hong vs. HIM International Music | Kuang Hong vs. BIN Live 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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