PGIM Nasdaq Correlations

PQAP Etf

27.47 0.04 0.15%

The current 90-days correlation between PGIM Nasdaq 100 and First Trust Exchange Traded is 0.54 (i.e., Very weak diversification). The correlation of PGIM Nasdaq 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. If the correlation is 0, the equities are not correlated; they are entirely random.

PGIM Nasdaq Correlation With Market

Poor diversification

The correlation between PGIM Nasdaq 100 Buffer and DJI is 0.77 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding PGIM Nasdaq 100 Buffer and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with PGIM Etf

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in PGIM Nasdaq 100 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 nation.

Moving together with PGIM Etf

0.93	INOV	Innovator ETFs Trust	Pair Corr
0.99	BUFR	First Trust Cboe Sell-off Trend	Pair Corr
1.0	BUFD	FT Cboe Vest	Pair Corr
0.99	PSEP	Innovator SP 500	Pair Corr
0.99	PJAN	Innovator SP 500	Pair Corr
0.99	PJUL	Innovator SP 500	Pair Corr
0.99	PAUG	Innovator Equity Power	Pair Corr
0.99	DNOV	FT Cboe Vest	Pair Corr
1.0	PMAY	Innovator SP 500	Pair Corr
0.99	PJUN	Innovator SP 500	Pair Corr
0.78	BITU	ProShares Trust	Pair Corr
0.78	BTCL	T Rex 2X Low Volatility	Pair Corr
0.79	BTFX	Valkyrie Bitcoin Futures	Pair Corr
0.77	BITX	Volatility Shares Trust Low Volatility	Pair Corr
0.95	TARK	AXS 2X Innovation	Pair Corr
0.95	CSCO	Cisco Systems Earnings Call Tomorrow	Pair Corr
0.82	DIS	Walt Disney	Pair Corr
0.7	MRK	Merck Company	Pair Corr
0.97	MSFT	Microsoft Sell-off Trend	Pair Corr
0.72	JNJ	Johnson Johnson	Pair Corr
0.87	BA	Boeing	Pair Corr
0.82	AA	Alcoa Corp	Pair Corr
0.81	PFE	Pfizer Inc Aggressive Push	Pair Corr
0.95	JPM	JPMorgan Chase	Pair Corr
0.89	CVX	Chevron Corp	Pair Corr

Moving against PGIM Etf

0.76	WTID	UBS ETRACS	Pair Corr
0.57	PG	Procter Gamble	Pair Corr
0.58	TRV	The Travelers Companies	Pair Corr
0.58	MCD	McDonalds	Pair Corr
0.48	KO	Coca Cola Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.92	0.43	0.63	0.37	0.65	-0.69	0.83	0.6	0.49	META
MSFT	0.92		0.45	0.71	0.29	0.57	-0.7	0.94	0.7	0.54	MSFT
UBER	0.43	0.45		0.8	0.1	0.53	0.09	0.58	0.44	0.44	UBER
F	0.63	0.71	0.8		0.19	0.65	-0.29	0.8	0.74	0.68	F
T	0.37	0.29	0.1	0.19		0.37	-0.28	0.28	0.39	0.11	T
A	0.65	0.57	0.53	0.65	0.37		-0.2	0.65	0.74	0.7	A
CRM	-0.69	-0.7	0.09	-0.29	-0.28	-0.2		-0.5	-0.46	-0.24	CRM
JPM	0.83	0.94	0.58	0.8	0.28	0.65	-0.5		0.73	0.6	JPM
MRK	0.6	0.7	0.44	0.74	0.39	0.74	-0.46	0.73		0.68	MRK
XOM	0.49	0.54	0.44	0.68	0.11	0.7	-0.24	0.6	0.68		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	+ 0.94	MSFT
MSFT	+ 0.92	META
JPM	+ 0.83	META
F	+ 0.8	UBER
JPM	+ 0.8	F
MRK	+ 0.74	F

High negative correlations

CRM	- 0.7	MSFT
CRM	- 0.69	META
JPM	- 0.5	CRM
MRK	- 0.46	CRM
CRM	- 0.29	F
CRM	- 0.28	T

PGIM Nasdaq Competition Risk-Adjusted Indicators

There is a big difference between PGIM Etf performing well and PGIM Nasdaq 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 Nasdaq'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	1.47	0.31	0.24	0.40	0.94	(1.80)	3.51	(2.35)	14.28
MSFT	0.69	0.22	0.22	0.49	0.28	(0.80)	2.20	(1.08)	5.71
UBER	1.51	(0.03)	(0.02)	0.08	1.69	(1.75)	3.87	(3.36)	11.37
F	1.30	0.04	0.02	0.15	1.56	(1.28)	2.51	(2.33)	7.46
T	0.89	0.00	(0.09)	0.10	1.17	(0.91)	2.03	(2.13)	5.71
A	1.45	(0.06)	0.02	0.08	1.82	(1.47)	2.82	(2.74)	14.01
CRM	1.21	(0.34)	0.00	(0.14)	0.00	0.00	2.12	(3.19)	8.50
JPM	0.84	0.12	0.10	0.23	0.83	(0.92)	1.83	(1.51)	5.90
MRK	1.37	(0.08)	(0.03)	0.04	1.98	(1.25)	2.90	(3.31)	10.58
XOM	1.05	0.02	(0.05)	0.26	1.30	(1.07)	2.14	(2.07)	6.26

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