Correlation Between Quant and Hive

Can any of the company-specific risk be diversified away by investing in both Quant and Hive 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 Quant and Hive into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Quant and Hive, you can compare the effects of market volatilities on Quant and Hive 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 Quant with a short position of Hive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Quant and Hive.

Diversification Opportunities for Quant and Hive

0.93

Correlation Coefficient

Quant  Hive

Almost no diversification

The 3 months correlation between Quant and Hive is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Quant and Hive in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hive and Quant 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 Quant are associated (or correlated) with Hive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hive has no effect on the direction of Quant i.e., Quant and Hive go up and down completely randomly.

Pair Corralation between Quant and Hive

Assuming the 90 days trading horizon Quant is expected to under-perform the Hive. But the crypto coin apears to be less risky and, when comparing its historical volatility, Quant is 1.35 times less risky than Hive. The crypto coin trades about -0.25 of its potential returns per unit of risk. The Hive is currently generating about -0.17 of returns per unit of risk over similar time horizon. If you would invest  44.00  in Hive on January 24, 2024 and sell it today you would lose (10.00) from holding Hive or give up 22.73% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	95.45%
Values	Daily Returns

Quant  vs.  Hive

Quant

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Quant are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Quant may actually be approaching a critical reversion point that can send shares even higher in May 2024.

Hive

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Hive are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Hive exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Quant and Hive

The main advantage of trading using opposite Quant and Hive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quant position performs unexpectedly, Hive 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 Hive will offset losses from the drop in Hive's long position.

The idea behind Quant and Hive pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 AI Investment Finder module to use AI to screen and filter profitable investment opportunities.