Uber CDR Correlations

UBER Stock

12.69 0.34 2.61%

The current 90-days correlation between Uber CDR and NVIDIA CDR is 0.25 (i.e., Modest diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Uber CDR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Uber CDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Uber CDR Correlation With Market

Average diversification

The correlation between Uber CDR and DJI is 0.15 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Uber CDR and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Uber CDR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Uber CDR 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 Uber CDR - 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 Uber CDR to buy it.

Moving together with Uber Stock

0.8	NFLX	Netflix Inc CDR	Pair Corr
0.86	MSFT	Microsoft Corp CDR	Pair Corr
0.86	MSFT	Microsoft CDR	Pair Corr

Moving against Uber Stock

0.82	AX-UN	Artis Real Estate	Pair Corr
0.79	KTO	K2 Gold	Pair Corr
0.74	CCL-A	CCL Industries	Pair Corr
0.73	GOOG	Alphabet CDR	Pair Corr
0.73	GOOG	Alphabet CDR	Pair Corr
0.61	VM	Voyageur Pharmaceuticals	Pair Corr
0.44	ENB-PFU	Enbridge Pref L	Pair Corr
0.4	AAPL	Apple Inc CDR	Pair Corr
0.4	AAPL	Apple CDR	Pair Corr

Related Correlations Analysis

	NVDA	NVDA	AAPL	AAPL	GOOG	NFLX	MSFT	GOOG	MSFT	AMZN
NVDA		1.0	-0.06	-0.06	-0.25	0.23	0.58	-0.25	0.58	0.53	NVDA
NVDA	1.0		-0.07	-0.07	-0.26	0.24	0.59	-0.26	0.59	0.52	NVDA
AAPL	-0.06	-0.07		1.0	0.73	-0.45	-0.47	0.73	-0.47	0.32	AAPL
AAPL	-0.06	-0.07	1.0		0.73	-0.45	-0.47	0.73	-0.47	0.32	AAPL
GOOG	-0.25	-0.26	0.73	0.73		-0.83	-0.83	1.0	-0.83	0.35	GOOG
NFLX	0.23	0.24	-0.45	-0.45	-0.83		0.76	-0.83	0.76	-0.21	NFLX
MSFT	0.58	0.59	-0.47	-0.47	-0.83	0.76		-0.83	1.0	-0.06	MSFT
GOOG	-0.25	-0.26	0.73	0.73	1.0	-0.83	-0.83		-0.83	0.35	GOOG
MSFT	0.58	0.59	-0.47	-0.47	-0.83	0.76	1.0	-0.83		-0.06	MSFT
AMZN	0.53	0.52	0.32	0.32	0.35	-0.21	-0.06	0.35	-0.06		AMZN
	NVDA	NVDA	AAPL	AAPL	GOOG	NFLX	MSFT	GOOG	MSFT	AMZN

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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

NVDA	+ 1.0	NVDA
AAPL	+ 1.0	AAPL
GOOG	+ 1.0	GOOG
MSFT	+ 1.0	MSFT
MSFT	+ 0.76	NFLX
MSFT	+ 0.76	NFLX

High negative correlations

MSFT	- 0.83	GOOG
GOOG	- 0.83	MSFT
GOOG	- 0.83	NFLX
MSFT	- 0.83	GOOG
MSFT	- 0.83	GOOG
NFLX	- 0.83	GOOG

Risk-Adjusted Indicators

There is a big difference between Uber Stock performing well and Uber CDR 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 Uber CDR'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
NVDA	1.68	(0.02)	(0.04)	(0.01)	2.00	(1.99)	3.79	(3.79)	9.47
NVDA	1.68	(0.03)	(0.04)	(0.01)	2.02	(1.92)	3.08	(3.79)	9.47
AAPL	0.87	(0.04)	(0.06)	0.01	1.22	(0.97)	2.14	(1.78)	8.60
AAPL	0.89	(0.04)	(0.06)	0.01	1.28	(0.93)	2.14	(1.78)	8.60
GOOG	1.47	0.34	0.21	0.54	1.19	(1.73)	3.56	(2.23)	9.38
NFLX	1.53	(0.42)	0.00	(1.46)	0.00	0.00	2.73	(4.00)	13.33
MSFT	0.94	(0.18)	0.00	(0.56)	0.00	0.00	1.59	(2.43)	5.02
GOOG	1.47	0.34	0.20	0.52	1.22	(1.73)	3.56	(2.23)	9.38
MSFT	0.94	(0.18)	0.00	(0.54)	0.00	0.00	1.59	(2.43)	5.02
AMZN	1.38	0.10	0.04	0.20	1.75	(1.34)	2.85	(2.95)	13.75

Be your own money manager

Our tools can tell you how much better you can do entering a position in Uber CDR 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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Uber CDR Corporate Management

Elected by the shareholders, the Uber CDR's board of directors comprises two types of representatives: Uber CDR inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Uber. The board's role is to monitor Uber CDR's management team and ensure that shareholders' interests are well served. Uber CDR's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Uber CDR's outside directors are responsible for providing unbiased perspectives on the board's policies.

Alaxandar Wang	Head Relations	Profile
Praveen Naga	Chief Officer	Profile
Jill Hazelbaker	Chief Policy	Profile
Prashanth MahendraRajah	Chief Officer	Profile
Nikki Krishnamurthy	Senior Officer	Profile

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