Franklin FTSE Correlations

FLIN Etf

USD 36.82 0.54 1.49%

A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Franklin FTSE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Franklin FTSE India moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Franklin FTSE Correlation With Market

Good diversification

The correlation between Franklin FTSE India and DJI is -0.17 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Franklin FTSE India 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 India. 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 Franklin Etf

1.0	INDA	iShares MSCI India	Pair Corr
1.0	EPI	WisdomTree India Earnings	Pair Corr
0.99	INDSX	Financial Investors Trust	Pair Corr
0.98	SMIN	iShares MSCI India	Pair Corr
1.0	PIN	Invesco India ETF	Pair Corr
0.96	GLIN	VanEck India Growth	Pair Corr
0.97	NFTY	First Trust India	Pair Corr
0.62	INDF	Exchange Traded Concepts	Pair Corr
0.63	MSFT	Microsoft	Pair Corr
0.71	AA	Alcoa Corp	Pair Corr

Moving against Franklin Etf

0.65	SHLD	Global X Funds	Pair Corr
0.6	GDXU	MicroSectors Gold Miners	Pair Corr
0.59	LUX	Tema ETF Trust	Pair Corr
0.44	SMI	VanEck Vectors ETF	Pair Corr
0.33	FNGD	MicroSectors FANG Index	Pair Corr
0.82	JNJ	Johnson Johnson	Pair Corr
0.79	T	ATT Inc Earnings Call Today	Pair Corr
0.71	VZ	Verizon Communications	Pair Corr
0.71	IBM	International Business	Pair Corr
0.68	GE	GE Aerospace	Pair Corr
0.63	MCD	McDonalds	Pair Corr
0.61	CVX	Chevron Corp	Pair Corr
0.46	INTC	Intel	Pair Corr
0.4	XOM	Exxon Mobil Corp	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.04	0.59	-0.54	0.32	0.42	0.26	0.9	-0.75	-0.01	META
MSFT	-0.04		-0.62	0.09	-0.79	0.69	0.89	0.1	0.44	-0.52	MSFT
UBER	0.59	-0.62		-0.35	0.8	-0.25	-0.53	0.53	-0.85	0.54	UBER
F	-0.54	0.09	-0.35		-0.05	-0.04	-0.08	-0.39	0.56	0.31	F
T	0.32	-0.79	0.8	-0.05		-0.57	-0.71	0.17	-0.65	0.58	T
A	0.42	0.69	-0.25	-0.04	-0.57		0.79	0.62	0.1	-0.3	A
CRM	0.26	0.89	-0.53	-0.08	-0.71	0.79		0.33	0.24	-0.58	CRM
JPM	0.9	0.1	0.53	-0.39	0.17	0.62	0.33		-0.63	0.07	JPM
MRK	-0.75	0.44	-0.85	0.56	-0.65	0.1	0.24	-0.63		-0.31	MRK
XOM	-0.01	-0.52	0.54	0.31	0.58	-0.3	-0.58	0.07	-0.31		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	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
CRM	+ 0.79	A
A	+ 0.69	MSFT
JPM	+ 0.62	A

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

Franklin FTSE Competition 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	1.59	0.02	0.00	(0.05)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.12	(0.15)	0.00	(0.28)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.41	0.19	0.74	2.06	(2.04)	4.72	(3.13)	12.75
F	1.47	0.07	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.04	0.26	0.16	0.40	1.61	(1.11)	1.90	(1.75)	11.66
A	1.15	(0.15)	0.00	(0.23)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.27)	0.00	(0.31)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.09	0.05	0.02	1.74	(1.04)	1.99	(3.35)	6.85
MRK	1.17	(0.11)	0.00	1.52	0.00	0.00	2.07	(1.80)	11.58
XOM	1.06	0.11	0.10	0.17	1.39	(1.08)	2.55	(2.36)	5.89

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