Correlation Between Quant and 0x

Can any of the company-specific risk be diversified away by investing in both Quant and 0x 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 0x into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Quant and 0x, you can compare the effects of market volatilities on Quant and 0x 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 0x. Check out your portfolio center. Please also check ongoing floating volatility patterns of Quant and 0x.

Diversification Opportunities for Quant and 0x

0.9

Correlation Coefficient

Quant  0x

Almost no diversification

The 3 months correlation between Quant and 0x is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Quant and 0x in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 0x 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 0x. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 0x has no effect on the direction of Quant i.e., Quant and 0x go up and down completely randomly.

Pair Corralation between Quant and 0x

Assuming the 90 days trading horizon Quant is expected to generate 0.9 times more return on investment than 0x. However, Quant is 1.11 times less risky than 0x. It trades about -0.11 of its potential returns per unit of risk. 0x is currently generating about -0.14 per unit of risk. If you would invest  10,629  in Quant on December 28, 2024 and sell it today you would lose (3,475) from holding Quant or give up 32.69% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

Quant  vs.  0x

Quant

Risk-Adjusted Performance

Very Weak

Over the last 90 days Quant has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Quant shareholders.

0x

Risk-Adjusted Performance

Very Weak

Over the last 90 days 0x has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for 0x shareholders.

Pair Trading with Quant and 0x

The main advantage of trading using opposite Quant and 0x positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quant position performs unexpectedly, 0x 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 0x will offset losses from the drop in 0x's long position.

The idea behind Quant and 0x 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.