Compare PATFX to Kinetics, Ultra, Mirova, Rbc, MFIRX, Rational/pier

Comparing PATFX to Kinetics, Ultra, Mirova, Rbc, MFIRX, Rational/pier can provide valuable insights into potential diversification opportunities when combining these positions into a portfolio. By using this module, you can analyze the advantages of specified entities, assessing both technical and fundamental indicators across various peers. Please use the input box below to enter the symbols for specific investments you'd like to analyze. Check out your portfolio center.

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Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated.

	PATFX	LSHEX	TSDUX	MGGYX	RGHYX	MFIRX	PBXIX
PATFX		-0.29	-0.24	0.74	0.31	0.72	-0.06	PATFX
LSHEX	-0.29		0.94	-0.1	0.67	0.03	0.93	LSHEX
TSDUX	-0.24	0.94		-0.09	0.73	0.07	0.92	TSDUX
MGGYX	0.74	-0.1	-0.09		0.41	0.87	0.11	MGGYX
RGHYX	0.31	0.67	0.73	0.41		0.64	0.83	RGHYX
MFIRX	0.72	0.03	0.07	0.87	0.64		0.26	MFIRX
PBXIX	-0.06	0.93	0.92	0.11	0.83	0.26		PBXIX
	PATFX	LSHEX	TSDUX	MGGYX	RGHYX	MFIRX	PBXIX

Click cells to compare fundamentals

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High positive correlations

TSDUX	+ 0.94	LSHEX
PBXIX	+ 0.93	LSHEX
PBXIX	+ 0.92	TSDUX
MFIRX	+ 0.87	MGGYX
PBXIX	+ 0.83	RGHYX
MGGYX	+ 0.74	PATFX

High negative correlations

LSHEX	- 0.29	PATFX
TSDUX	- 0.24	PATFX
MGGYX	- 0.1	LSHEX
MGGYX	- 0.09	TSDUX
PBXIX	- 0.06	PATFX

Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself 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 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
PATFX	0.16	0.02	(0.24)	(0.08)	0.22	(0.24)	0.44	(0.35)	1.69
LSHEX	1.50	0.67	0.31	0.71	1.41	(1.77)	3.44	(2.10)	16.34
TSDUX	0.03	0.01	0.00	1.30	0.00	0.00	0.10	0.00	0.10
MGGYX	0.20	0.01	(0.37)	0.34	0.18	(0.22)	0.34	(0.45)	0.91
RGHYX	0.08	0.01	(0.63)	0.28	0.00	(0.13)	0.20	(0.20)	0.51
MFIRX	0.09	0.01	(0.46)	(0.83)	0.00	(0.23)	0.19	(0.19)	0.76
PBXIX	0.31	0.04	(0.07)	0.21	0.00	(0.41)	0.87	(0.55)	1.94

Unable to evaluate fundamental data of [PATFX, LSHEX, TSDUX, MGGYX, RGHYX, MFIRX, PBXIX] at this time. Please try again later

All Fundamental Data

Competitive Analysis

Better Than Average

Worse Than Peers

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	PATFX	LSHEX	TSDUX	MGGYX	RGHYX	MFIRX	PBXIX
	0.18 11.39 PATFX	1.71 47.82 Kinetics	0.31 9.75 Ultra	0.68 8.90 Mirova	0.10 9.97 Rbc	0.19 5.27 MFIRX	0.09 11.67 Rational/pier
Market Volatility (90 Days Market Risk)	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady
Market Performance (90 Days Performance)	Insignificant	Very Strong	Very Strong	OK	Solid	OK	Solid
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Under Valued	Fairly Valued	Fairly Valued	Over Valued	Over Valued	Over Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Sell	Strong Buy	Strong Hold	Cautious Hold	Strong Sell	Strong Sell	Strong Sell
Net Asset	5.55 B	11.72 M	510.59 M	36.91 M	414.39 M	794.17 M	99.14 M
Minimum Initial Investment	N/A	N/A	1 K	N/A	1000 K	N/A	N/A
Price To Book	6.68 X	N/A	N/A	N/A	N/A	N/A	N/A
Five Year Return	1.45 %	37.00 %	2.78 %	(0.47) %	5.10 %	2.61 %	N/A
One Year Return	11.47 %	100.00 %	6.17 %	7.85 %	12.27 %	9.93 %	16.03 %
Last Dividend Paid	0.03	0.08	0.14	0.03	0.05	0.01	0.04
Price To Earning	7.02 X	N/A	N/A	N/A	N/A	N/A	N/A
Price To Sales	0.94 X	N/A	N/A	N/A	N/A	N/A	N/A
Cash Position Weight	0.22 %	5.92 %	15.53 %	(189.81) %	10.45 %	8.67 %	4.03 %
Equity Positions Weight	0.01 %	94.01 %	N/A	N/A	0.01 %	N/A	22.96 %
Three Year Return	(0.50) %	43.01 %	3.91 %	(2.49) %	3.84 %	2.46 %	1.30 %
Annual Yield	0.03 %	0.0007 %	0 %	0.01 %	0.07 %	0 %	0.02 %
Year To Date Return	6.65 %	100.00 %	5.50 %	2.93 %	7.36 %	6.32 %	11.98 %
Bond Positions Weight	10.93 %	N/A	72.03 %	251.24 %	85.98 %	44.23 %	N/A
Ten Year Return	4.44 %	7.05 %	N/A	N/A	N/A	5.58 %	N/A
Day Typical Price	11.39	47.82	9.75	8.9	9.97	5.27	11.67
Daily Balance Of Power	9.2 T	(9,223,372,036,855)	(9,223,372,036,855)	9.2 T	9.2 T	9.2 T	9.2 T
Period Momentum Indicator	0.02	(0.83)	(0.03)	0.06	0.01	0.01	0.01
Rate Of Daily Change	1.0	0.98	1.0	1.01	1.0	1.0	1.0
Day Median Price	11.39	47.82	9.75	8.9	9.97	5.27	11.67
Price Action Indicator	0.01	(0.41)	(0.01)	0.03	0.005	0.005	0.005
Relative Strength Index	50.96	N/A	100.0	N/A	76.2	57.72	78.12
Coefficient Of Variation	1513.81	284.36	194.2	1043.95	414.15	699.69	412.93
Mean Deviation	0.1569	1.5	0.0344	0.195	0.0837	0.0949	0.3127
Jensen Alpha	0.0191	0.6701	0.0108	0.0084	0.0094	0.0118	0.0392
Total Risk Alpha	(0.03)	0.4535	0.0055	(0.02)	(0.0002)	(0.01)	0.0274
Sortino Ratio	(0.24)	0.3097	N/A	(0.37)	(0.63)	(0.46)	(0.07)
Downside Variance	0.1987	4.9	N/A	0.0763	0.025	0.0523	0.1623
Standard Deviation	0.2692	2.3	0.0424	0.2373	0.1083	0.1425	0.4081
Kurtosis	7.84	6.18	0.0793	(0.42)	0.2435	1.16	0.421
Potential Upside	0.4398	3.44	0.1034	0.3429	0.2022	0.1923	0.8734
Treynor Ratio	(0.08)	0.7081	1.3	0.3421	0.2751	(0.83)	0.2066
Maximum Drawdown	1.69	16.34	0.1037	0.9116	0.5056	0.7634	1.94
Variance	0.0725	5.31	0.0018	0.0563	0.0117	0.0203	0.1665
Market Risk Adjusted Performance	(0.07)	0.7181	1.31	0.3521	0.2851	(0.82)	0.2166
Risk Adjusted Performance	0.0322	0.2762	0.2241	0.0511	0.1243	0.0657	0.1768
Skewness	(1.62)	0.9198	1.44	(0.36)	(0.15)	0.2893	0.3137
Semi Deviation	0.2192	1.41	N/A	0.1773	0.0	0.0	0.0
Information Ratio	(0.40)	0.2973	(2.44)	(0.43)	(0.92)	(0.74)	(0.07)
Value At Risk	(0.35)	(2.10)	N/A	(0.45)	(0.20)	(0.19)	(0.55)
Expected Short fall	(0.24)	(1.77)	N/A	(0.22)	(0.13)	(0.23)	(0.41)
Downside Deviation	0.4458	2.21	N/A	0.2763	0.1581	0.2288	0.4029
Semi Variance	0.048	2.0	N/A	0.0314	(0.02)	(0.01)	(0.01)

Market Neutrality

One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.

Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.

Five steps to successful analysis of competition

Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, both direct and indirect, as well as new entrants and disruptive technologies.
Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact the competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats and developing a strategy to address them.
Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.

Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.

	Warren Buffett Holdings Invested few shares	Go
	Momentum Invested few shares	Go
	Cash Cows Invested few shares	Go
	SRI Sustainable Growth Invested few shares	Go
	Dividend Beast Invested over 50 shares	Go
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	Business Services Invested few shares	Go
	Driverless Cars Invested over 200 shares	Go
	Automobiles and Trucks Invested over 200 shares	Go
	Hedge Favorites Invested few shares	Go
	Adviser Favorites Invested few shares	Go

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

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