Alps/corecommodity Competition

JCRAX Fund

USD 9.27 0.10 1.09%

Alps/corecommodity competes with PIMCO Enhanced, T Rowe, IShares Energy, Invesco High, and VanEck Rare; as well as few others. The fund is listed under Commodities Broad Basket category and is part of ALPS family. Analyzing Alps/corecommodity competition allows you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Investors sometimes prefer comparable analysis of Alps/corecommodity to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Alps/corecommodity Correlation with its peers.

Alps/corecommodity vs Schwab Strategic Correlation

Poor diversification

The correlation between Alpscorecommodity Management P and SCCR is 0.67 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Alpscorecommodity Management P and SCCR in the same portfolio, assuming nothing else is changed.

Moving against Alps/corecommodity Mutual Fund

0.72	INDIX	Alpskotak India Growth	Pair Corr
0.71	INAAX	Alpskotak India Growth	Pair Corr
0.71	INDAX	Alpskotak India Growth	Pair Corr
0.71	INDSX	Financial Investors Trust	Pair Corr
0.7	INFCX	Alpskotak India Growth	Pair Corr

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Hype

Prediction

Low	Estimated	High
8.39	9.27	10.15

Details

Intrinsic

Valuation

Low	Real	High
8.99	9.87	10.75

Details

Naive

Forecast

Low	Next	High
8.58	9.46	10.33

Details

Bollinger

Band Projection (param)

Lower	Middle Band	Upper
7.88	8.64	9.39

Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Alps/corecommodity. Your research has to be compared to or analyzed against Alps/corecommodity's peers to derive any actionable benefits. When done correctly, Alps/corecommodity's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Alps/corecommodity.

Alps/corecommodity Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Alps/corecommodity and its competitors represents the degree of relationship between the price movements of corresponding funds. A correlation of about +1.0 implies that the price of Alps/corecommodity and its corresponding peer 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; in other words, the historical price movement of Alps/corecommodity does not affect the price movement of the other competitor.

	LDUR	TMSL	IYE	PEY	REMX	QDTE	VMMSX	BBRE	GSG	SCCR
LDUR		0.87	0.71	0.74	0.84	0.53	0.77	0.43	0.56	0.8	LDUR
TMSL	0.87		0.77	0.92	0.88	0.79	0.87	0.55	0.67	0.77	TMSL
IYE	0.71	0.77		0.73	0.88	0.53	0.91	0.58	0.93	0.54	IYE
PEY	0.74	0.92	0.73		0.82	0.72	0.86	0.67	0.66	0.74	PEY
REMX	0.84	0.88	0.88	0.82		0.62	0.94	0.56	0.8	0.73	REMX
QDTE	0.53	0.79	0.53	0.72	0.62		0.71	0.33	0.59	0.6	QDTE
VMMSX	0.77	0.87	0.91	0.86	0.94	0.71		0.59	0.9	0.68	VMMSX
BBRE	0.43	0.55	0.58	0.67	0.56	0.33	0.59		0.54	0.59	BBRE
GSG	0.56	0.67	0.93	0.66	0.8	0.59	0.9	0.54		0.47	GSG
SCCR	0.8	0.77	0.54	0.74	0.73	0.6	0.68	0.59	0.47		SCCR
	LDUR	TMSL	IYE	PEY	REMX	QDTE	VMMSX	BBRE	GSG	SCCR

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Risk-Adjusted Indicators

There is a big difference between Alps/corecommodity Mutual Fund performing well and Alps/corecommodity Mutual Fund 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 Alps/corecommodity'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
LDUR	0.05	0.00	(0.35)	0.36	0.00	(0.06)	0.12	(0.10)	0.25
TMSL	0.75	0.04	0.05	0.08	0.82	(0.82)	1.79	(1.57)	3.86
IYE	0.95	0.21	0.15	0.75	0.98	(1.00)	2.15	(1.40)	5.02
PEY	0.72	0.02	0.01	0.05	0.76	(0.80)	1.85	(1.45)	3.77
REMX	2.05	0.33	0.11	0.36	2.67	(2.15)	4.25	(4.09)	10.51
QDTE	0.73	(0.01)	(0.01)	0.02	1.10	(0.68)	1.37	(1.92)	4.48
VMMSX	0.59	0.14	0.16	0.27	0.49	(0.66)	1.55	(1.09)	3.05
BBRE	0.59	(0.03)	0.00	(0.05)	0.00	0.00	1.33	(1.27)	3.14
GSG	0.83	0.13	0.11	1.19	0.73	(0.95)	1.55	(1.32)	3.21
SCCR	0.14	(0.01)	(0.23)	(0.13)	0.17	(0.14)	0.27	(0.31)	0.70

Alps/corecommodity Competitive Analysis

The better you understand Alps/corecommodity competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Alps/corecommodity's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Alps/corecommodity's competition over several years is one of the best ways to analyze its investment potential.

Better Than Average

Worse Than Peers

View Performance Chart

	JCRAX	LDUR	TMSL	IYE	PEY	REMX	QDTE	VMMSX	BBRE	GSG
	1.09 9.27 Alps/corecommodity	0.05 96.19 PIMCO	1.44 37.76 TMSL	0.95 53.97 IShares	1.98 21.63 Invesco	8.45 85.63 VanEck	1.25 30.75 Roundhill	1.97 30.81 Vanguard	0.00 95.09 JPMorgan	1.89 25.48 IShares
Market Volatility (90 Days Market Risk)	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady
Market Performance (90 Days Performance)	Solid	Solid	Fair	Solid	Fair	Good	Weakest	Solid	Mild	Good
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low	Low	Low	Low	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Under Valued	Over Valued	Over Valued	Fairly Valued	Over Valued	Over Valued	Over Valued	Under 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	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Strong Buy	Strong Sell	Hold	Strong Hold	Strong Hold	Strong Buy	Strong Hold	Strong Buy	Cautious Hold	Sell
Net Asset	825.84 M	1.43 B	N/A	1.93 B	1.23 B	697.86 M	N/A	1.06 B	952.02 M	1.44 B
Minimum Initial Investment	N/A	N/A	N/A	N/A	N/A	N/A	N/A	3 K	N/A	N/A
Price To Book	1.32	N/A	N/A	1.7	1.09	1.42	N/A	1.21	N/A	N/A
Five Year Return	13.48	2.0	N/A	21.9	8.1	6.2	N/A	6.89	6.5	14.1
One Year Return	37.41	5.6	11.7	9.6	3.0	140.8	17.9	49.02	3.3	8.9
Last Dividend Paid	0.02	0.06	N/A	0.22	0.0603	0.22	N/A	0.04	0.36	N/A
Price To Earning	19.66	N/A	N/A	19.03	3.14	11.04	N/A	12.47	N/A	4.73
Beta	N/A	0.21	N/A	0.53	0.78	1.44	N/A	N/A	1.17	0.91
Price To Sales	0.93	N/A	N/A	24.17	1.64	0.96	N/A	0.84	N/A	N/A
Cash Position Weight	40.31	N/A	N/A	N/A	N/A	N/A	N/A	1.0	N/A	N/A
Equity Positions Weight	21.52	N/A	N/A	99.68	100.0	99.96	N/A	99.0	98.92	N/A
Three Year Return	9.69	5.0	N/A	5.7	5.4	3.4	N/A	16.6	6.2	4.6
Annual Yield	0.088	N/A	0.0034	N/A	N/A	N/A	N/A	0.0232	N/A	N/A
Year To Date Return	13.21	N/A	N/A	N/A	N/A	N/A	N/A	11.97	N/A	N/A
Bond Positions Weight	N/A	45.59	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A
Ten Year Return	N/A	2.6	N/A	8.9	9.9	14.2	N/A	N/A	N/A	6.6
Day Typical Price	9.27	96.29	37.93	53.61	21.49	86.42	30.82	30.81	94.79	25.4
Accumulation Distribution	N/A	0.0032	0.0182	0.0231	0.0199	0.0538	0.0132	N/A	0.0105	0.0276
Market Facilitation Index	N/A	0.31	0.7	1.25	0.43	4.8	0.41	N/A	1.0	0.71
Daily Balance Of Power	9.2 T	0.1613	(0.79)	0.408	0.9767	(1.65)	(0.95)	0	N/A	(0.69)
Period Momentum Indicator	0.1	0.05	(0.55)	0.51	0.42	(7.90)	(0.39)	(0.62)	N/A	(0.49)
Rate Of Daily Change	1.01	1.0	0.99	1.01	1.02	0.92	0.99	0.98	1.0	0.98
Day Median Price	9.27	96.34	38.01	53.43	21.43	86.81	30.85	30.81	94.64	25.36
Price Action Indicator	0.05	(0.12)	(0.53)	0.8	0.41	(5.13)	(0.30)	(0.31)	0.45	(0.12)
Relative Strength Index	78.49	68.74	57.02	70.41	59.93	55.36	52.63	69.41	55.3	65.79
Coefficient Of Variation	310.35	459.48	1085.05	522.68	1718.52	716.01	3287.4	456.51	(7,696)	660.88
Mean Deviation	0.6832	0.0518	0.7523	0.953	0.7194	2.05	0.7306	0.5925	0.5864	0.8346
Jensen Alpha	0.2476	0.0049	0.0426	0.2082	0.016	0.3312	(0.01)	0.1379	(0.03)	0.1341
Total Risk Alpha	0.224	0.002	0.0327	0.1607	(0.0008)	0.2367	(0.03)	0.1215	(0.06)	0.0908
Sortino Ratio	0.2531	(0.35)	0.0466	0.1507	0.0108	0.1128	(0.01)	0.1623	N/A	0.1116
Downside Variance	0.8287	0.0073	0.923	1.48	0.7191	8.67	1.34	0.5809	N/A	0.8558
Standard Deviation	0.8544	0.0707	0.9732	1.19	0.9298	2.7	0.9692	0.7699	0.7737	0.9791
Kurtosis	(0.28)	2.36	0.1289	0.0491	(0.03)	0.9184	0.3172	0.6331	0.674	(0.94)
Potential Upside	1.48	0.1154	1.79	2.15	1.85	4.25	1.37	1.55	1.33	1.55
Treynor Ratio	0.524	0.3588	0.0751	0.7498	0.0548	0.357	0.0243	0.2666	(0.05)	1.19
Maximum Drawdown	3.38	0.2522	3.86	5.02	3.77	10.51	4.48	3.05	3.14	3.21
Variance	0.73	0.005	0.9471	1.43	0.8645	7.29	0.9394	0.5928	0.5987	0.9587
Market Risk Adjusted Performance	0.534	0.3688	0.0851	0.7598	0.0648	0.367	0.0343	0.2766	(0.04)	1.2
Risk Adjusted Performance	0.2346	0.0651	0.0692	0.1423	0.0443	0.1083	0.0245	0.159	(0.01)	0.112
Skewness	(0.28)	(0.75)	0.1023	(0.15)	0.3979	(0.61)	(0.54)	(0.13)	(0.42)	(0.05)
Semi Deviation	0.4967	0.0	0.8176	0.9755	0.7625	2.67	1.1	0.4874	N/A	0.7301
Information Ratio	0.2696	(0.42)	0.046	0.1537	0.0099	0.123	(0.02)	0.1607	(0.07)	0.1054
Value At Risk	(1.25)	(0.10)	(1.57)	(1.40)	(1.45)	(4.09)	(1.92)	(1.09)	(1.27)	(1.32)
Expected Short fall	(0.81)	(0.06)	(0.82)	(1.00)	(0.80)	(2.15)	(0.68)	(0.66)	N/A	(0.95)
Downside Deviation	0.9103	0.0855	0.9607	1.22	0.848	2.95	1.16	0.7622	N/A	0.9251
Semi Variance	0.2467	(0.01)	0.6684	0.9516	0.5814	7.14	1.22	0.2376	N/A	0.533

Alps/corecommodity Competition Performance Charts

Five steps to successful analysis of Alps/corecommodity Competition

Alps/corecommodity's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Alps/corecommodity in relation to its competition. Alps/corecommodity's competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors of Alps/corecommodity in the market, 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 Alps/corecommodity's competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Alps/corecommodity, 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.

Complement your Alps/corecommodity position

In addition to having Alps/corecommodity in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

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New or established large and mid-sized companies that are involved in the social media industry, including entities that provide web-based or mobile media applications and services across across large segment of population in multiple geographical areas. The Social Domain theme has 39 constituents at this time.

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Other Information on Investing in Alps/corecommodity Mutual Fund

Alps/corecommodity financial ratios help investors to determine whether Alps/corecommodity Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Alps/corecommodity with respect to the benefits of owning Alps/corecommodity security.

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Alps/corecommodity Competition

Alps/corecommodity vs Schwab Strategic Correlation

Poor diversification

Moving against Alps/corecommodity Mutual Fund

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Alps/corecommodity Competition Correlation Matrix

Risk-Adjusted Indicators

Alps/corecommodity Competitive Analysis

Alps/corecommodity Competition Performance Charts

Five steps to successful analysis of Alps/corecommodity Competition

Complement your Alps/corecommodity position

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