Correlation Between DigiAsia Corp and Logan Ridge
Can any of the company-specific risk be diversified away by investing in both DigiAsia Corp and Logan Ridge 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 DigiAsia Corp and Logan Ridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DigiAsia Corp and Logan Ridge Finance, you can compare the effects of market volatilities on DigiAsia Corp and Logan Ridge 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 DigiAsia Corp with a short position of Logan Ridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of DigiAsia Corp and Logan Ridge.
Diversification Opportunities for DigiAsia Corp and Logan Ridge
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between DigiAsia and Logan is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding DigiAsia Corp and Logan Ridge Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Logan Ridge Finance and DigiAsia Corp 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 DigiAsia Corp are associated (or correlated) with Logan Ridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Logan Ridge Finance has no effect on the direction of DigiAsia Corp i.e., DigiAsia Corp and Logan Ridge go up and down completely randomly.
Pair Corralation between DigiAsia Corp and Logan Ridge
Assuming the 90 days horizon DigiAsia Corp is expected to generate 19.47 times more return on investment than Logan Ridge. However, DigiAsia Corp is 19.47 times more volatile than Logan Ridge Finance. It trades about 0.16 of its potential returns per unit of risk. Logan Ridge Finance is currently generating about -0.21 per unit of risk. If you would invest 9.00 in DigiAsia Corp on October 23, 2024 and sell it today you would earn a total of 2.49 from holding DigiAsia Corp or generate 27.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 94.74% |
Values | Daily Returns |
DigiAsia Corp vs. Logan Ridge Finance
Performance |
Timeline |
DigiAsia Corp |
Logan Ridge Finance |
DigiAsia Corp and Logan Ridge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DigiAsia Corp and Logan Ridge
The main advantage of trading using opposite DigiAsia Corp and Logan Ridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DigiAsia Corp position performs unexpectedly, Logan Ridge 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 Logan Ridge will offset losses from the drop in Logan Ridge's long position.DigiAsia Corp vs. FactSet Research Systems | DigiAsia Corp vs. Virgin Group Acquisition | DigiAsia Corp vs. National Storage REIT | DigiAsia Corp vs. Asure Software |
Logan Ridge vs. Badger Infrastructure Solutions | Logan Ridge vs. Portman Ridge Finance | Logan Ridge vs. Inotiv Inc | Logan Ridge vs. Phenixfin |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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