Two Roads Correlations

DYLD Etf

USD 22.78 0.03 0.13%

The current 90-days correlation between Two Roads Shared and Two Roads Shared is 0.13 (i.e., Average diversification). The correlation of Two Roads is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Two Roads Correlation With Market

Average diversification

The correlation between Two Roads Shared and DJI is 0.18 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Two Roads Shared and DJI in the same portfolio, assuming nothing else is changed.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Two Roads Shared. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

Moving together with Two Etf

0.86	SMCRX	ALPSSmith Credit Opp	Pair Corr
0.76	SMCVX	ALPSSmith Credit Opp	Pair Corr
0.68	DEED	First Trust TCW	Pair Corr
0.71	SMCAX	DEUTSCHE MID CAP	Pair Corr
0.9	SMCCX	DEUTSCHE MID CAP	Pair Corr
0.76	JPIE	JP Morgan Exchange	Pair Corr
0.73	MUSI	American Century Mul	Pair Corr
0.66	BND	Vanguard Total Bond	Pair Corr
0.73	VZ	Verizon Communications Aggressive Push	Pair Corr

Moving against Two Etf

0.41

JPM

JPMorgan Chase Fiscal Year End 10th of January 2025

Pair Corr

Related Correlations Analysis

	LSAT	LSAF	SQEW	RWMIX	RWSIX
LSAT		0.96	0.95	-0.56	0.93	LSAT
LSAF	0.96		0.98	-0.64	0.95	LSAF
SQEW	0.95	0.98		-0.68	0.94	SQEW
RWMIX	-0.56	-0.64	-0.68		-0.64	RWMIX
RWSIX	0.93	0.95	0.94	-0.64		RWSIX
	LSAT	LSAF	SQEW	RWMIX	RWSIX

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

SQEW	+ 0.98	LSAF
LSAF	+ 0.96	LSAT
SQEW	+ 0.95	LSAT
RWSIX	+ 0.95	LSAF
RWSIX	+ 0.94	SQEW
RWSIX	+ 0.93	LSAT

High negative correlations

RWMIX	- 0.68	SQEW
RWSIX	- 0.64	RWMIX
RWMIX	- 0.64	LSAF
RWMIX	- 0.56	LSAT

Two Roads Constituents Risk-Adjusted Indicators

There is a big difference between Two Etf performing well and Two Roads ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Two Roads' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
LSAT	0.59	0.01	(0.03)	0.13	0.51	(0.69)	1.14	(0.97)	3.23
LSAF	0.68	0.02	0.03	0.14	0.65	(0.75)	1.43	(1.13)	4.72
SQEW	0.81	0.00	0.04	0.11	0.71	(0.95)	1.79	(1.61)	6.88
RWMIX	0.10	(0.03)	0.00	(1.40)	0.00	0.00	0.14	(0.21)	1.20
RWSIX	0.56	0.09	(0.02)	0.95	0.50	(0.65)	1.18	(1.20)	4.11

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