Putnam Master Correlations

PIM Etf

USD 3.30 0.01 0.30%

The current 90-days correlation between Putnam Master Interm and MFS High Yield is 0.08 (i.e., Significant 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 0.14 (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 together with Putnam Etf

0.79	PSLV	Sprott Physical Silver Aggressive Push	Pair Corr
0.86	PPT	Putnam Premier Income	Pair Corr
0.79	BGR	BlackRock Energy	Pair Corr
0.85	WSML	iShares MSCI World	Pair Corr
0.84	EVUS	iShares ESG Aware	Pair Corr
0.86	CPSL	Calamos Laddered	Pair Corr
0.71	GRW	TCW Compounders ETF	Pair Corr
0.86	MPRO	Northern Lights	Pair Corr
0.64	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.8	SPGP	Invesco SP 500	Pair Corr
0.86	IXP	iShares Global Comm	Pair Corr
0.8	EWQ	iShares MSCI France	Pair Corr
0.7	JPM	JPMorgan Chase	Pair Corr
0.75	IBM	International Business	Pair Corr
0.68	CAT	Caterpillar	Pair Corr
0.66	CVX	Chevron Corp	Pair Corr
0.65	DIS	Walt Disney	Pair Corr
0.64	GE	GE Aerospace	Pair Corr

Moving against Putnam Etf

0.79	BHK	BlackRock Core Bond	Pair Corr
0.69	MCD	McDonalds	Pair Corr
0.45	HPQ	HP Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.97	0.82	0.79	0.56	0.92	0.17	0.93	0.21	0.51	META
MSFT	0.97		0.84	0.83	0.51	0.86	0.17	0.95	0.23	0.5	MSFT
UBER	0.82	0.84		0.88	0.41	0.78	0.46	0.85	0.18	0.44	UBER
F	0.79	0.83	0.88		0.42	0.8	0.16	0.89	0.43	0.68	F
T	0.56	0.51	0.41	0.42		0.63	0.11	0.46	0.35	0.27	T
A	0.92	0.86	0.78	0.8	0.63		0.15	0.86	0.36	0.63	A
CRM	0.17	0.17	0.46	0.16	0.11	0.15		0.09	-0.33	-0.21	CRM
JPM	0.93	0.95	0.85	0.89	0.46	0.86	0.09		0.32	0.59	JPM
MRK	0.21	0.23	0.18	0.43	0.35	0.36	-0.33	0.32		0.54	MRK
XOM	0.51	0.5	0.44	0.68	0.27	0.63	-0.21	0.59	0.54		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

MSFT	+ 0.97	META
JPM	+ 0.95	MSFT
JPM	+ 0.93	META
A	+ 0.92	META
JPM	+ 0.89	F
F	+ 0.88	UBER

High negative correlations

MRK	- 0.33	CRM
XOM	- 0.21	CRM

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	1.47	0.27	0.25	0.41	0.82	(1.79)	3.99	(2.00)	10.48
MSFT	0.84	0.33	0.36	0.63	0.00	(1.04)	2.33	(1.03)	8.85
UBER	1.60	0.05	0.05	0.25	1.44	(1.99)	4.19	(2.54)	10.87
F	1.29	0.10	0.04	0.33	1.40	(1.40)	2.69	(2.33)	7.46
T	1.00	(0.02)	(0.12)	0.14	1.30	(1.05)	2.35	(2.35)	5.71
A	1.53	(0.10)	0.02	0.14	1.77	(1.61)	2.82	(2.89)	14.01
CRM	1.30	(0.17)	(0.04)	0.09	1.64	(1.29)	2.95	(3.19)	9.31
JPM	0.88	0.19	0.16	0.40	0.54	(1.01)	2.25	(1.31)	6.03
MRK	1.40	(0.08)	(0.04)	0.13	1.82	(1.38)	2.90	(3.31)	10.58
XOM	1.10	(0.01)	(0.10)	0.16	1.39	(1.07)	2.18	(2.58)	6.28

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