Correlation Between SPTSX Dividend and Bitcoin ETF

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

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

Diversification Opportunities for SPTSX Dividend and Bitcoin ETF

0.82

Correlation Coefficient

SPTSX Dividend  Bitcoin ETF

Very poor diversification

The 3 months correlation between SPTSX and Bitcoin is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding SPTSX Dividend Aristocrats and Bitcoin ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin ETF and SPTSX Dividend 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 SPTSX Dividend Aristocrats are associated (or correlated) with Bitcoin ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin ETF has no effect on the direction of SPTSX Dividend i.e., SPTSX Dividend and Bitcoin ETF go up and down completely randomly.

Pair Corralation between SPTSX Dividend and Bitcoin ETF

Assuming the 90 days trading horizon SPTSX Dividend Aristocrats is expected to under-perform the Bitcoin ETF. But the index apears to be less risky and, when comparing its historical volatility, SPTSX Dividend Aristocrats is 8.22 times less risky than Bitcoin ETF. The index trades about -0.1 of its potential returns per unit of risk. The Bitcoin ETF is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest  3,147  in Bitcoin ETF on September 15, 2024 and sell it today you would earn a total of  439.00  from holding Bitcoin ETF or generate 13.95% return on investment over 90 days.

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

SPTSX Dividend Aristocrats  vs.  Bitcoin ETF

Pair Trading with SPTSX Dividend and Bitcoin ETF

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

The idea behind SPTSX Dividend Aristocrats and Bitcoin ETF 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.