PGIM Large Correlations

PBOC Etf

26.26 0.01 0.04%

The current 90-days correlation between PGIM Large Cap and FT Vest Equity is -0.16 (i.e., Good diversification). The correlation of PGIM Large 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.

PGIM Large Correlation With Market

Good diversification

The correlation between PGIM Large Cap Buffer and DJI is -0.09 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding PGIM Large Cap Buffer and DJI in the same portfolio, assuming nothing else is changed.

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in PGIM Large Cap Buffer. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in persons.

Moving together with PGIM Etf

0.87	BUFR	First Trust Cboe	Pair Corr
0.87	BUFD	FT Cboe Vest	Pair Corr
0.87	PSEP	Innovator SP 500	Pair Corr
0.89	PJAN	Innovator SP 500	Pair Corr
0.87	PJUL	Innovator SP 500	Pair Corr
0.86	PAUG	Innovator Equity Power	Pair Corr
0.86	DNOV	FT Cboe Vest	Pair Corr
0.78	PMAY	Innovator SP 500	Pair Corr
0.87	PJUN	Innovator SP 500	Pair Corr
0.79	BAC	Bank of America Aggressive Push	Pair Corr
0.8	WMT	Walmart	Pair Corr
0.74	HD	Home Depot	Pair Corr

Moving against PGIM Etf

0.48	MRK	Merck Company	Pair Corr
0.33	AMPD	Tidal Trust II	Pair Corr
0.38	TRV	The Travelers Companies	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.02	0.58	-0.53	0.3	0.43	0.28	0.9	-0.74	-0.03	META
MSFT	-0.02		-0.62	0.02	-0.8	0.7	0.89	0.13	0.43	-0.55	MSFT
UBER	0.58	-0.62		-0.28	0.81	-0.27	-0.53	0.51	-0.84	0.57	UBER
F	-0.53	0.02	-0.28		0.0	-0.09	-0.16	-0.37	0.51	0.36	F
T	0.3	-0.8	0.81	0.0		-0.59	-0.71	0.16	-0.65	0.6	T
A	0.43	0.7	-0.27	-0.09	-0.59		0.8	0.62	0.11	-0.34	A
CRM	0.28	0.89	-0.53	-0.16	-0.71	0.8		0.36	0.23	-0.61	CRM
JPM	0.9	0.13	0.51	-0.37	0.16	0.62	0.36		-0.63	0.06	JPM
MRK	-0.74	0.43	-0.84	0.51	-0.65	0.11	0.23	-0.63		-0.32	MRK
XOM	-0.03	-0.55	0.57	0.36	0.6	-0.34	-0.61	0.06	-0.32		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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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

JPM	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.81	UBER
CRM	+ 0.8	A
A	+ 0.7	MSFT
JPM	+ 0.62	A

High negative correlations

MRK	- 0.84	UBER
T	- 0.8	MSFT
MRK	- 0.74	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

PGIM Large Competition Risk-Adjusted Indicators

There is a big difference between PGIM Etf performing well and PGIM Large 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 PGIM Large's 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
META	1.63	0.04	0.02	0.00	2.27	(1.46)	2.96	(3.73)	8.90
MSFT	1.11	(0.18)	0.00	(0.29)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.40	0.18	0.75	2.03	(2.05)	4.72	(3.13)	12.75
F	1.44	0.14	0.06	0.09	2.12	(1.42)	2.71	(2.88)	10.14
T	0.99	0.29	0.19	0.56	1.43	(1.11)	1.90	(1.55)	11.66
A	1.16	(0.14)	0.00	(0.20)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.40	(0.29)	0.00	(0.29)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.14	0.10	0.05	0.05	1.76	(1.09)	2.16	(3.35)	6.85
MRK	1.16	(0.11)	0.00	1.03	0.00	0.00	2.07	(1.80)	11.58
XOM	1.03	0.13	0.10	0.27	1.28	(1.06)	2.55	(2.36)	5.89

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