Correlation Between Render Network and BTS

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

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

Diversification Opportunities for Render Network and BTS

0.57

Correlation Coefficient

Render Network  BTS

Very weak diversification

The 3 months correlation between Render and BTS is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Render Network and BTS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BTS and Render Network 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 Render Network are associated (or correlated) with BTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BTS has no effect on the direction of Render Network i.e., Render Network and BTS go up and down completely randomly.

Pair Corralation between Render Network and BTS

Assuming the 90 days trading horizon Render Network is expected to generate 0.77 times more return on investment than BTS. However, Render Network is 1.3 times less risky than BTS. It trades about 0.17 of its potential returns per unit of risk. BTS is currently generating about 0.06 per unit of risk. If you would invest  470.00  in Render Network on September 1, 2024 and sell it today you would earn a total of  420.00  from holding Render Network or generate 89.36% return on investment over 90 days.

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

Render Network  vs.  BTS

Render Network

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Render Network are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady basic indicators, Render Network sustained solid returns over the last few months and may actually be approaching a breakup point.

BTS

Risk-Adjusted Performance

4 of 100

Modest

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

Pair Trading with Render Network and BTS

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

The idea behind Render Network and BTS 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.