Franklin FTSE Correlations

FLLA Etf

USD 18.96 0.03 0.16%

The current 90-days correlation between Franklin FTSE Latin and Franklin FTSE Mexico is 0.66 (i.e., Poor diversification). The correlation of Franklin FTSE 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.

Franklin FTSE Correlation With Market

Average diversification

The correlation between Franklin FTSE Latin and DJI is 0.13 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Franklin FTSE Latin 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 Franklin FTSE Latin. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

Moving together with Franklin Etf

0.98	EWZ	iShares MSCI Brazil	Pair Corr
0.99	ILF	iShares Latin America	Pair Corr
0.99	FLBR	Franklin FTSE Brazil	Pair Corr
0.94	EWZS	iShares MSCI Brazil	Pair Corr
0.94	BRF	VanEck Brazil Small	Pair Corr
0.89	FBZ	First Trust Brazil	Pair Corr
0.75	EWC	iShares MSCI Canada Sell-off Trend	Pair Corr
0.7	CQQQ	Invesco China Technology	Pair Corr
0.64	JPM	JPMorgan Chase	Pair Corr
0.64	VZ	Verizon Communications Aggressive Push	Pair Corr
0.62	CVX	Chevron Corp	Pair Corr
0.64	INTC	Intel Downward Rally	Pair Corr
0.64	IBM	International Business	Pair Corr
0.84	JNJ	Johnson Johnson	Pair Corr
0.66	KO	Coca Cola Aggressive Push	Pair Corr

Moving against Franklin Etf

0.44

MSFT

Microsoft

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.34	0.54	-0.68	0.78	0.45	-0.1	0.85	-0.78	-0.4	META
MSFT	-0.34		-0.63	0.28	-0.48	0.2	0.71	-0.47	0.59	-0.15	MSFT
UBER	0.54	-0.63		-0.15	0.73	-0.02	-0.49	0.72	-0.74	0.37	UBER
F	-0.68	0.28	-0.15		-0.38	-0.16	0.33	-0.41	0.58	0.77	F
T	0.78	-0.48	0.73	-0.38		0.06	-0.2	0.73	-0.78	0.0	T
A	0.45	0.2	-0.02	-0.16	0.06		0.21	0.53	-0.02	-0.29	A
CRM	-0.1	0.71	-0.49	0.33	-0.2	0.21		-0.25	0.43	-0.06	CRM
JPM	0.85	-0.47	0.72	-0.41	0.73	0.53	-0.25		-0.78	-0.08	JPM
MRK	-0.78	0.59	-0.74	0.58	-0.78	-0.02	0.43	-0.78		0.1	MRK
XOM	-0.4	-0.15	0.37	0.77	0.0	-0.29	-0.06	-0.08	0.1		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	META
T	+ 0.78	META
XOM	+ 0.77	F
T	+ 0.73	UBER
JPM	+ 0.73	T
JPM	+ 0.72	UBER

High negative correlations

MRK	- 0.78	JPM
MRK	- 0.78	T
MRK	- 0.78	META
MRK	- 0.74	UBER
F	- 0.68	META
UBER	- 0.63	MSFT

Franklin FTSE Constituents Risk-Adjusted Indicators

There is a big difference between Franklin Etf performing well and Franklin FTSE 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 Franklin FTSE'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	1.30	0.26	0.16	0.64	1.38	(1.36)	3.22	(2.26)	7.11
MSFT	0.99	(0.06)	0.00	(0.23)	0.00	0.00	2.20	(1.90)	10.31
UBER	1.88	0.15	0.05	(2.68)	2.72	(1.87)	4.72	(3.13)	12.29
F	1.35	(0.21)	0.00	(0.27)	0.00	0.00	2.46	(2.90)	10.97
T	0.92	0.24	0.21	0.47	0.95	(1.07)	1.80	(1.75)	7.94
A	1.09	0.08	0.07	0.13	1.03	(1.33)	2.81	(1.91)	6.12
CRM	1.43	(0.07)	0.00	(0.08)	0.00	0.00	3.10	(2.95)	15.92
JPM	0.90	0.08	0.06	0.11	1.21	(0.99)	1.92	(1.51)	6.85
MRK	1.22	(0.07)	0.00	(1.13)	0.00	0.00	2.43	(1.81)	11.57
XOM	0.94	(0.13)	0.00	(0.24)	0.00	0.00	1.76	(2.14)	5.69

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