Fidelity Total Correlations

FBND Etf

USD 45.72 0.01 0.02%

The current 90-days correlation between Fidelity Total Bond and Fidelity Corporate Bond is 0.91 (i.e., Almost no diversification). The correlation of Fidelity Total 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.

Fidelity Total Correlation With Market

Good diversification

The correlation between Fidelity Total Bond and DJI is -0.08 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Total Bond 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 Fidelity Total Bond. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

Moving together with Fidelity Etf

1.0	IUSB	iShares Core Total	Pair Corr
0.99	FIXD	First Trust TCW	Pair Corr
1.0	TOTL	SPDR DoubleLine Total	Pair Corr
1.0	HTRB	Hartford Total Return	Pair Corr
1.0	GTO	Invesco Total Return	Pair Corr
0.99	EUSB	iShares Trust	Pair Corr
1.0	JCPB	JPMorgan Core Plus	Pair Corr
0.99	VBND	Vident Core Bond	Pair Corr
0.99	CGCP	Capital Group Core	Pair Corr

Moving against Fidelity Etf

0.87	RSPY	Tuttle Capital Management	Pair Corr
0.86	DSJA	DSJA	Pair Corr
0.85	MEME	Roundhill Investments	Pair Corr
0.46	ITWO	Proshares Russell 2000 Low Volatility	Pair Corr
0.34	ITDD	iShares Trust	Pair Corr
0.83	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.83	JPM	JPMorgan Chase Sell-off Trend	Pair Corr
0.8	CVX	Chevron Corp Sell-off Trend	Pair Corr
0.8	BAC	Bank of America Aggressive Push	Pair Corr
0.74	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr
0.73	HPQ	HP Inc	Pair Corr
0.65	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.62	INTC	Intel Fiscal Year End 23rd of January 2025	Pair Corr
0.6	XOM	Exxon Mobil Corp Sell-off Trend	Pair Corr
0.56	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr
0.51	T	ATT Inc Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.56	0.02	0.58	0.03	0.65	0.28	-0.54	0.71	META
MSFT	0.28		0.23	0.14	0.19	-0.02	0.03	-0.13	0.11	-0.19	MSFT
UBER	0.56	0.23		-0.04	-0.02	0.27	0.01	-0.13	0.06	0.35	UBER
F	0.02	0.14	-0.04		0.14	-0.4	0.44	0.67	-0.31	0.32	F
T	0.58	0.19	-0.02	0.14		-0.51	0.77	0.56	-0.78	0.37	T
A	0.03	-0.02	0.27	-0.4	-0.51		-0.48	-0.64	0.64	-0.01	A
CRM	0.65	0.03	0.01	0.44	0.77	-0.48		0.85	-0.92	0.66	CRM
JPM	0.28	-0.13	-0.13	0.67	0.56	-0.64	0.85		-0.83	0.49	JPM
MRK	-0.54	0.11	0.06	-0.31	-0.78	0.64	-0.92	-0.83		-0.56	MRK
XOM	0.71	-0.19	0.35	0.32	0.37	-0.01	0.66	0.49	-0.56		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	+ 0.85	CRM
CRM	+ 0.77	T
XOM	+ 0.71	META
JPM	+ 0.67	F
XOM	+ 0.66	CRM
CRM	+ 0.65	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.83	JPM
MRK	- 0.78	T
JPM	- 0.64	A
XOM	- 0.56	MRK
MRK	- 0.54	META

Fidelity Total Competition Risk-Adjusted Indicators

There is a big difference between Fidelity Etf performing well and Fidelity Total 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 Fidelity Total'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	1.06	0.06	0.02	0.21	1.39	(1.15)	2.62	(3.15)	8.02
MSFT	0.90	(0.03)	(0.04)	0.07	1.49	(0.86)	2.09	(1.85)	8.19
UBER	1.62	(0.13)	(0.05)	0.00	2.26	(1.79)	2.69	(2.53)	20.10
F	1.43	(0.15)	(0.04)	0.02	2.24	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(9.48)	0.86	(1.06)	2.56	(1.72)	6.47
A	1.14	(0.13)	0.00	(0.12)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.29	0.26	0.22	0.36	0.91	(1.53)	3.18	(1.91)	9.09
JPM	1.12	(0.01)	0.06	0.12	1.42	(1.19)	2.05	(2.00)	15.87
MRK	0.89	(0.23)	0.00	(0.76)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.02	(0.06)	(0.09)	0.00	1.34	(1.07)	2.10	(2.09)	5.74

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