Intesa Sanpaolo Correlations

ISNPY Stock

USD 26.53 0.03 0.11%

The current 90-days correlation between Intesa Sanpaolo SpA and Banco Do Brasil is -0.02 (i.e., Good diversification). The correlation of Intesa Sanpaolo 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Intesa Sanpaolo Correlation With Market

Significant diversification

The correlation between Intesa Sanpaolo SpA and DJI is 0.02 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Intesa Sanpaolo SpA and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Intesa Sanpaolo could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Intesa Sanpaolo when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Intesa Sanpaolo - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Intesa Sanpaolo SpA to buy it.

Moving together with Intesa Pink Sheet

0.78	NDEKY	Nitto Denko Corp	Pair Corr
0.66	MNPR	Monopar Therapeutics	Pair Corr
0.69	MMM	3M Company	Pair Corr

Moving against Intesa Pink Sheet

0.67	AA	Alcoa Corp	Pair Corr
0.57	TRV	The Travelers Companies	Pair Corr
0.54	PG	Procter Gamble	Pair Corr
0.47	DD	Dupont De Nemours Earnings Call This Week	Pair Corr
0.39	MCD	McDonalds Earnings Call This Week	Pair Corr
0.36	DAIUF	Daifuku Earnings Call This Week	Pair Corr

Related Correlations Analysis

	BDORY	KBCSY	FETM	CRARY	BNPQF	SCGLY	HSNGY	BNPQY
BDORY		-0.21	-0.38	0.73	0.72	0.42	0.29	0.71	BDORY
KBCSY	-0.21		-0.02	0.04	-0.05	0.65	0.18	-0.04	KBCSY
FETM	-0.38	-0.02		-0.73	-0.69	-0.22	0.01	-0.7	FETM
CRARY	0.73	0.04	-0.73		0.94	0.49	0.43	0.96	CRARY
BNPQF	0.72	-0.05	-0.69	0.94		0.35	0.45	0.98	BNPQF
SCGLY	0.42	0.65	-0.22	0.49	0.35		0.28	0.33	SCGLY
HSNGY	0.29	0.18	0.01	0.43	0.45	0.28		0.47	HSNGY
BNPQY	0.71	-0.04	-0.7	0.96	0.98	0.33	0.47		BNPQY
	BDORY	KBCSY	FETM	CRARY	BNPQF	SCGLY	HSNGY	BNPQY

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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

BNPQY	+ 0.98	BNPQF
BNPQY	+ 0.96	CRARY
BNPQF	+ 0.94	CRARY
CRARY	+ 0.73	BDORY
BNPQF	+ 0.72	BDORY
BNPQY	+ 0.71	BDORY

High negative correlations

CRARY	- 0.73	FETM
BNPQY	- 0.7	FETM
BNPQF	- 0.69	FETM
FETM	- 0.38	BDORY
SCGLY	- 0.22	FETM
KBCSY	- 0.21	BDORY

Risk-Adjusted Indicators

There is a big difference between Intesa Pink Sheet performing well and Intesa Sanpaolo Company 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 Intesa Sanpaolo'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
BDORY	1.68	0.08	0.02	0.22	2.08	(1.87)	3.66	(3.98)	8.87
KBCSY	1.09	0.11	0.03	0.52	1.26	(1.22)	2.24	(2.00)	7.28
FETM	0.91	0.03	(0.04)	0.27	0.90	(1.41)	2.69	(1.87)	12.51
CRARY	1.08	(0.01)	(0.06)	0.00	1.51	(1.16)	2.01	(2.46)	7.01
BNPQF	1.61	(0.06)	0.00	(0.14)	0.00	0.00	3.13	(3.77)	8.38
SCGLY	1.49	0.34	0.20	1.36	1.05	(1.92)	3.25	(2.08)	14.51
HSNGY	1.36	(0.02)	(0.05)	(0.01)	1.72	(1.37)	2.50	(2.80)	7.96
BNPQY	1.11	(0.06)	0.00	(1.02)	0.00	0.00	2.09	(2.56)	5.99

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Our tools can tell you how much better you can do entering a position in Intesa Sanpaolo without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Intesa Sanpaolo Corporate Management

Francesco Francesco	Head Organisation	Profile
Fabrizio Dabbene	Head of Administration and Tax Department, Manager responsible for preparing the company’s financial reports	Profile
Andrea Tamagnini	Investor Relations Officer	Profile
Paola Angeletti	Head - International Subsidiary Banks Division	Profile

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