Putnam Master Correlations

PIM Etf

USD 3.34 0.01 0.30%

The current 90-days correlation between Putnam Master Interm and Flaherty Crumrine Preferredome is 0.3 (i.e., Weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Putnam Master moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Putnam Master Intermediate moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Putnam Master Correlation With Market

Average diversification

The correlation between Putnam Master Intermediate and DJI is 0.16 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Master Intermediate and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Putnam Etf

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Putnam Master Intermediate. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving against Putnam Etf

0.56	ALAB-P	A Labs Capital	Pair Corr
0.42	VINP	Vinci Partners Inves	Pair Corr
0.42	LBS	Life Banc Split Split	Pair Corr
0.37	AB	AllianceBernstein	Pair Corr
0.36	BK	Bank of New York	Pair Corr
0.36	ECCC	Eagle Point Credit	Pair Corr
0.42	APO	Apollo Global Management	Pair Corr
0.37	ANSCU	Agriculture Natural	Pair Corr
0.33	MAJE	Majedie Investments	Pair Corr
0.32	WWH	Worldwide Healthcare	Pair Corr
0.31	DGS	Dividend Growth Split	Pair Corr
0.31	ASA	ASA Gold	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.67	0.45	-0.54	0.38	-0.39	0.24	-0.23	-0.42	-0.58	META
MSFT	0.67		0.85	-0.54	0.42	-0.07	-0.02	-0.42	-0.81	-0.64	MSFT
UBER	0.45	0.85		-0.58	0.52	0.09	-0.25	-0.47	-0.85	-0.67	UBER
F	-0.54	-0.54	-0.58		-0.64	0.28	0.34	0.54	0.63	0.77	F
T	0.38	0.42	0.52	-0.64		0.03	-0.63	-0.47	-0.38	-0.58	T
A	-0.39	-0.07	0.09	0.28	0.03		-0.42	-0.34	0.02	0.04	A
CRM	0.24	-0.02	-0.25	0.34	-0.63	-0.42		0.49	0.2	0.3	CRM
JPM	-0.23	-0.42	-0.47	0.54	-0.47	-0.34	0.49		0.57	0.56	JPM
MRK	-0.42	-0.81	-0.85	0.63	-0.38	0.02	0.2	0.57		0.76	MRK
XOM	-0.58	-0.64	-0.67	0.77	-0.58	0.04	0.3	0.56	0.76		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

UBER	+ 0.85	MSFT
XOM	+ 0.77	F
XOM	+ 0.76	MRK
MSFT	+ 0.67	META
MRK	+ 0.63	F
MRK	+ 0.57	JPM

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.81	MSFT
XOM	- 0.67	UBER
T	- 0.64	F
XOM	- 0.64	MSFT
CRM	- 0.63	T

Putnam Master Competition Risk-Adjusted Indicators

There is a big difference between Putnam Etf performing well and Putnam Master 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 Putnam Master'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	1.39	(0.22)	0.00	(0.19)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.92	(0.17)	0.00	(0.25)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.45	(0.30)	0.00	(0.23)	0.00	0.00	2.60	(3.82)	10.51
F	1.48	0.12	0.08	0.14	1.67	(1.63)	3.38	(2.63)	16.30
T	0.96	(0.21)	0.00	(0.86)	0.00	0.00	1.61	(2.18)	5.75
A	1.17	0.05	0.04	0.10	1.25	(1.28)	2.12	(2.21)	11.03
CRM	1.51	0.06	0.03	0.13	1.97	(1.51)	3.66	(2.92)	9.91
JPM	1.08	(0.02)	0.00	0.04	1.41	(1.11)	2.00	(1.91)	7.02
MRK	1.32	0.33	0.25	0.46	1.03	(1.70)	3.84	(1.98)	11.45
XOM	0.91	0.12	0.08	0.52	0.82	(1.01)	1.96	(1.41)	4.99

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