Automotive Properties Correlations

APR-UN Stock

CAD 11.46 -0.18 -1.55%

Current 90-days correlation between Automotive Properties and Nexus Real Estate is 0.35 (i.e., Weak diversification).Because correlations between assets tend to spike during market dislocations, the apparent diversification benefit of holding Automotive Properties alongside other equities may be lower in practice than historical averages suggest.

Market Correlation View for Automotive Properties

Average diversification

Across the chosen horizon, APR-UN and DJI show a correlation of 0.14 and fall into the Average diversification bucket. The cleaner interpretation is to review correlation beside volatility, expected return, and the role each holding plays in the portfolio.

Correlation context here can be used to compare Automotive Properties with related instruments. In jurisdictions with wash sale rules, substantially identical replacements can be restricted; this view is informational only.

Moving together with Automotive Stock

0.67	LUXR	Luxor Metals	Pair Corr
0.93	NPI-PA	Northland Power Pref	Pair Corr
0.88	EVT	Economic Investment Trust	Pair Corr
0.83	CNL	Collective Mining	Pair Corr
0.66	AVCR	Avricore Health	Pair Corr
0.87	OXY	Occidental Petroleum	Pair Corr
0.68	IQ	AirIQ Inc	Pair Corr
0.7	SLF	Sun Life Financial	Pair Corr
0.64	WMS	Western Metallica	Pair Corr

Moving against Automotive Stock

0.37

VRY

Petro Victory Energy

Pair Corr

Related Correlations Analysis

	NXR-UN	MI-UN	WFC	PLZ-UN	AX-UN	MRG-UN	PRV-UN	HOM-U	BTB-UN	MRT-UN
NXR-UN		0.45	-0.04	0.34	0.41	0.54	0.82	0.34	0.66	0.19	NXR-UN
MI-UN	0.45		0.35	0.55	0.48	0.86	0.38	0.35	0.44	0.5	MI-UN
WFC	-0.04	0.35		0.72	-0.15	0.45	-0.04	0.22	-0.17	-0.04	WFC
PLZ-UN	0.34	0.55	0.72		0.2	0.66	0.32	0.55	0.06	0.31	PLZ-UN
AX-UN	0.41	0.48	-0.15	0.2		0.6	0.51	0.44	0.78	0.44	AX-UN
MRG-UN	0.54	0.86	0.45	0.66	0.6		0.56	0.6	0.61	0.39	MRG-UN
PRV-UN	0.82	0.38	-0.04	0.32	0.51	0.56		0.48	0.7	0.15	PRV-UN
HOM-U	0.34	0.35	0.22	0.55	0.44	0.6	0.48		0.31	0.34	HOM-U
BTB-UN	0.66	0.44	-0.17	0.06	0.78	0.61	0.7	0.31		0.16	BTB-UN
MRT-UN	0.19	0.5	-0.04	0.31	0.44	0.39	0.15	0.34	0.16		MRT-UN
	NXR-UN	MI-UN	WFC	PLZ-UN	AX-UN	MRG-UN	PRV-UN	HOM-U	BTB-UN	MRT-UN

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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

MRG-UN	+ 0.86	MI-UN
PRV-UN	+ 0.82	NXR-UN
BTB-UN	+ 0.78	AX-UN
PLZ-UN	+ 0.72	WFC
BTB-UN	+ 0.7	PRV-UN
BTB-UN	+ 0.66	NXR-UN

High negative correlations

BTB-UN	- 0.17	WFC
AX-UN	- 0.15	WFC
MRT-UN	- 0.04	WFC
PRV-UN	- 0.04	WFC
WFC	- 0.04	NXR-UN

Risk-Adjusted Indicators

Surface-level performance for Automotive Stock can mask how the business actually stacks up against its competitive set. Without reviewing risk-adjusted indicators, investors may overweight recent returns and underweight the volatility required to achieve them. 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
NXR-UN	0.88	0.02	0.05	0.05	1.09	-0.96	1.57	-2.05	4.77
MI-UN	0.92	0.48	1.28	1.08	0.00	-1.19	1.04	-0.52	27.62
WFC	1.25	0.15	0.07	1.62	1.52	-2.11	4.70	-3.89	11.09
PLZ-UN	0.83	0.07	0.10	0.17	0.91	-1.02	1.45	-1.41	6.67
AX-UN	2.30	0.00	0.01	-0.06	3.25	-2.31	5.67	-5.85	20.87
MRG-UN	0.69	0.08	0.12	0.22	0.80	-0.77	1.65	-1.28	5.00
PRV-UN	0.73	0.02	0.04	-0.01	0.97	-0.79	1.39	-1.45	5.12
HOM-U	1.35	-0.02	0.00	-0.48	0.00	0.00	2.71	-3.13	11.86
BTB-UN	0.67	-0.03	0.00	-0.14	0.00	0.00	1.06	-2.07	4.29
MRT-UN	0.98	0.17	0.13	0.31	1.25	-1.05	2.04	-1.73	8.73

Be your own money manager

A disciplined portfolio workflow around Automotive Properties Real should test whether the position strengthens diversification, return efficiency, and overall portfolio fit. This is most useful when investors want to improve risk-adjusted return instead of simply owning more ideas at once.

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