Cboe Vest Competition

BUAGX Fund

USD 19.95 0.05 0.25%

Cboe Vest Large competes with Jpmorgan Equity, Balanced Fund, Small Cap, Sarofim Equity, and Ultra-short Fixed; as well as few others. The fund is listed under Options Trading category and is part of CBOE Vest family. Analyzing Cboe Vest 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 Cboe Vest to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Cboe Vest Correlation with its peers.

You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of Cboe Vest competition on your existing holdings.

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Hype

Prediction

Low	Estimated	High
19.52	19.90	20.28

Details

Intrinsic

Valuation

Low	Real	High
19.37	19.75	20.13

Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Cboe Vest. Your research has to be compared to or analyzed against Cboe Vest's peers to derive any actionable benefits. When done correctly, Cboe Vest'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 Cboe Vest Large.

Cboe Vest Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Cboe Vest 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 Cboe 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 Cboe Vest Large does not affect the price movement of the other competitor.

	OIEPX	FLDFX	GSCYX	SRFMX	SWSFX	RUSTX	GCIEX
OIEPX		0.83	0.94	0.83	0.72	0.97	0.92	OIEPX
FLDFX	0.83		0.86	0.91	0.58	0.89	0.93	FLDFX
GSCYX	0.94	0.86		0.89	0.61	0.94	0.9	GSCYX
SRFMX	0.83	0.91	0.89		0.46	0.88	0.85	SRFMX
SWSFX	0.72	0.58	0.61	0.46		0.76	0.61	SWSFX
RUSTX	0.97	0.89	0.94	0.88	0.76		0.92	RUSTX
GCIEX	0.92	0.93	0.9	0.85	0.61	0.92		GCIEX
	OIEPX	FLDFX	GSCYX	SRFMX	SWSFX	RUSTX	GCIEX

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Risk-Adjusted Indicators

There is a big difference between Cboe Mutual Fund performing well and Cboe Vest 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 Cboe Vest'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
OIEPX	0.52	0.02	0.00	0.14	0.29	(0.61)	1.14	(0.81)	3.69
FLDFX	0.42	(0.05)	(0.16)	0.04	0.52	(0.45)	0.64	(0.98)	2.60
GSCYX	0.86	(0.02)	0.03	0.10	0.83	(1.06)	2.14	(1.37)	7.13
SRFMX	0.53	(0.05)	(0.10)	0.05	0.70	(0.58)	0.99	(1.30)	3.50
SWSFX	0.04	0.00	(1.07)	(0.08)	0.00	(0.17)	0.10	(0.10)	0.49
RUSTX	0.56	0.00	(0.01)	0.12	0.68	(0.60)	1.07	(1.39)	4.17
GCIEX	0.60	(0.04)	(0.08)	0.07	0.55	(0.78)	1.16	(1.03)	4.43

Unable to evaluate fundamental data of [OIEPX, FLDFX, GSCYX, SRFMX, SWSFX, RUSTX, GCIEX] at this time. Please try again later

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Cboe Vest Competitive Analysis

The better you understand Cboe Vest competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Cboe Vest'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 Cboe Vest'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

	BUAGX	OIEPX	FLDFX	GSCYX	SRFMX	SWSFX	RUSTX	GCIEX
	0.25 19.95 Cboe	0.04 26.88 JPMORGAN	0.14 14.45 Balanced	0.25 20.31 Small	0.41 17.18 Sarofim	0.1 10.31 Ultra-short	0.42 18.83 RUSTX	0.50 8.09 The
Market Volatility (90 Days Market Risk)	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady
Market Performance (90 Days Performance)	Solid	Good	OK	Good	Modest	OK	Good	OK
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low	Low	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Fairly Valued	Under Valued	Fairly Valued	Fairly Valued	Fairly Valued	Over Valued	Fairly Valued	Fairly Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Hold	Buy	Strong Hold	Strong Hold	Strong Hold	Strong Sell	Strong Hold	Strong Hold
Net Asset	430.22 M	18.18 B	353.07 M	614.53 M	95.95 M	N/A	3.05 B	544.74 M
Minimum Initial Investment	N/A	N/A	N/A	N/A	2.5 K	N/A	N/A	N/A
Price To Book	N/A	N/A	2.56 X	1.58 X	3.01 X	N/A	N/A	2.43 X
Five Year Return	9.29 %	10.46 %	6.91 %	11.12 %	13.59 %	N/A	14.08 %	9.77 %
One Year Return	19.60 %	26.93 %	20.60 %	32.06 %	19.81 %	N/A	31.00 %	19.74 %
Last Dividend Paid	N/A	0.02	N/A	N/A	0.02	N/A	0.02	N/A
Price To Earning	N/A	N/A	17.17 X	17.27 X	19.33 X	N/A	N/A	18.45 X
Price To Sales	N/A	N/A	1.44 X	1.01 X	2.55 X	N/A	N/A	1.51 X
Cash Position Weight	0.40 %	1.92 %	60.45 %	8.67 %	0.22 %	N/A	4.38 %	0.18 %
Equity Positions Weight	99.60 %	98.08 %	28.04 %	91.33 %	99.78 %	N/A	95.62 %	99.82 %
Three Year Return	7.64 %	7.95 %	4.73 %	2.90 %	5.09 %	N/A	7.92 %	5.70 %
Annual Yield	N/A	0.02 %	0.02 %	0.01 %	0.01 %	N/A	0.01 %	0.12 %
Year To Date Return	15.56 %	20.24 %	15.03 %	17.79 %	15.73 %	N/A	24.21 %	12.82 %
Bond Positions Weight	N/A	N/A	0.89 %	N/A	N/A	N/A	N/A	N/A
Ten Year Return	N/A	11.20 %	5.57 %	9.39 %	N/A	N/A	N/A	8.25 %
Day Typical Price	19.95	26.88	14.45	20.31	17.18	10.31	18.83	8.09
Daily Balance Of Power	9.2 T	9.2 T	(9,223,372,036,855)	(9,223,372,036,855)	9.2 T	9.2 T	(9,223,372,036,855)	9.2 T
Period Momentum Indicator	0.05	0.01	(0.02)	(0.05)	0.07	0.01	(0.08)	0.04
Rate Of Daily Change	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0
Day Median Price	19.95	26.88	14.45	20.31	17.18	10.31	18.83	8.09
Price Action Indicator	0.025	0.005	(0.01)	(0.03)	0.035	0.005	(0.04)	0.02
Relative Strength Index	73.4	68.12	70.13	77.58	70.61	66.14	73.38	68.82
Coefficient Of Variation	640.69	544.49	1701.05	831.94	1563.64	669.48	675.56	1065.06
Mean Deviation	0.2916	0.5151	0.4151	0.8636	0.5315	0.0385	0.5603	0.6045
Jensen Alpha	0.0052	0.0204	(0.05)	(0.02)	(0.05)	0.0045	0.0027	(0.04)
Total Risk Alpha	(0.01)	0.0124	(0.06)	(0.05)	(0.07)	(0.01)	(0.01)	(0.05)
Sortino Ratio	(0.14)	(0)	(0.16)	0.0257	(0.10)	(1.07)	(0.01)	(0.08)
Downside Variance	0.1954	0.3009	0.3587	1.06	0.6351	0.0113	0.6804	0.4397
Standard Deviation	0.4036	0.6771	0.5477	1.26	0.7136	0.0792	0.7822	0.7695
Kurtosis	1.68	3.47	1.35	5.7	0.8089	14.81	2.28	1.84
Potential Upside	0.6414	1.14	0.6429	2.14	0.9883	0.0977	1.07	1.16
Treynor Ratio	0.1279	0.1405	0.0372	0.1002	0.0483	(0.08)	0.1184	0.0724
Maximum Drawdown	1.99	3.69	2.6	7.13	3.5	0.4871	4.17	4.43
Variance	0.1629	0.4584	0.3	1.59	0.5092	0.0063	0.6119	0.5921
Market Risk Adjusted Performance	0.1379	0.1505	0.0472	0.1102	0.0583	(0.07)	0.1284	0.0824
Risk Adjusted Performance	0.1106	0.1394	0.0411	0.096	0.0483	0.0277	0.1136	0.072
Skewness	(0.31)	1.08	(0.25)	1.35	(0.49)	3.31	(0.06)	0.6165
Semi Deviation	0.2861	0.2949	0.519	0.834	0.6992	0.0	0.6835	0.5533
Information Ratio	(0.15)	(0)	(0.17)	0.0209	(0.11)	(1.43)	(0.01)	(0.07)
Value At Risk	(0.72)	(0.81)	(0.98)	(1.37)	(1.30)	(0.1)	(1.39)	(1.03)
Expected Short fall	(0.33)	(0.61)	(0.45)	(1.06)	(0.58)	(0.17)	(0.60)	(0.78)
Downside Deviation	0.4421	0.5485	0.5989	1.03	0.797	0.1064	0.8248	0.6631
Semi Variance	0.0819	0.0869	0.2694	0.6956	0.4888	(0.01)	0.4672	0.3061

Cboe Vest Competition Performance Charts

Five steps to successful analysis of Cboe Vest Competition

Cboe Vest'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 Cboe Vest Large in relation to its competition. Cboe Vest's competition analysis typically involves several steps, including:

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

In addition to having Cboe Vest 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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FinTech

High long term potential financial entities that are ranging from payment processing, investment management to commercial and investment banking. The FinTech theme has 81 constituents at this time.

You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize FinTech Theme or any other thematic opportunities.

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Other Information on Investing in Cboe Mutual Fund

Cboe Vest financial ratios help investors to determine whether Cboe 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 Cboe with respect to the benefits of owning Cboe Vest security.

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