Inverse Emerging Competition

RYWZX Fund

USD 8.03 0.32 3.83%

Inverse Emerging Markets competes with Basic Materials, Basic Materials, Banking Fund, Basic Materials, and Sp Midcap; as well as few others. The fund is listed under Trading--Inverse Equity category and is part of Rydex Funds family. Analyzing Inverse Emerging 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 Inverse Emerging to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Inverse Emerging 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 Inverse Emerging competition on your existing holdings.

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Hype

Prediction

Low	Estimated	High
5.23	8.03	10.83

Details

Intrinsic

Valuation

Low	Real	High
4.65	7.45	10.25

Details

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

Inverse Emerging Competition Correlation Matrix

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

	RYBCX	RYBAX	RYBKX	RYBMX	RYBHX	RYBIX	RYBOX	RYABX	RYACX	RYAIX
RYBCX		0.9	0.09	1.0	0.21	1.0	0.16	-0.28	-0.18	-0.18	RYBCX
RYBAX	0.9		0.18	0.9	0.36	0.9	0.09	-0.37	-0.35	-0.35	RYBAX
RYBKX	0.09	0.18		0.11	0.86	0.12	-0.35	-0.71	-0.81	-0.81	RYBKX
RYBMX	1.0	0.9	0.11		0.24	1.0	0.14	-0.3	-0.2	-0.2	RYBMX
RYBHX	0.21	0.36	0.86	0.24		0.24	-0.28	-0.51	-0.88	-0.88	RYBHX
RYBIX	1.0	0.9	0.12	1.0	0.24		0.14	-0.31	-0.21	-0.21	RYBIX
RYBOX	0.16	0.09	-0.35	0.14	-0.28	0.14		0.52	0.37	0.36	RYBOX
RYABX	-0.28	-0.37	-0.71	-0.3	-0.51	-0.31	0.52		0.67	0.66	RYABX
RYACX	-0.18	-0.35	-0.81	-0.2	-0.88	-0.21	0.37	0.67		1.0	RYACX
RYAIX	-0.18	-0.35	-0.81	-0.2	-0.88	-0.21	0.36	0.66	1.0		RYAIX
	RYBCX	RYBAX	RYBKX	RYBMX	RYBHX	RYBIX	RYBOX	RYABX	RYACX	RYAIX

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High positive correlations

RYBMX	+ 1.0	RYBCX
RYBIX	+ 1.0	RYBCX
RYBIX	+ 1.0	RYBMX
RYAIX	+ 1.0	RYACX
RYBAX	+ 0.9	RYBCX
RYBMX	+ 0.9	RYBAX

High negative correlations

RYAIX	- 0.88	RYBHX
RYACX	- 0.88	RYBHX
RYAIX	- 0.81	RYBKX
RYACX	- 0.81	RYBKX
RYABX	- 0.71	RYBKX
RYABX	- 0.51	RYBHX

Risk-Adjusted Indicators

There is a big difference between Inverse Mutual Fund performing well and Inverse Emerging 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 Inverse Emerging'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
RYBCX	0.71	(0.01)	(0.05)	0.09	0.69	(0.81)	1.73	(1.03)	4.27
RYBAX	0.72	0.07	(0.03)	0.62	0.69	(0.81)	1.71	(1.03)	4.29
RYBKX	1.08	0.00	0.07	0.10	1.04	(1.34)	2.45	(1.99)	12.77
RYBMX	0.71	0.00	(0.04)	0.10	0.69	(0.81)	1.71	(1.04)	4.29
RYBHX	0.75	0.15	0.10	0.47	0.61	(0.85)	1.76	(1.23)	5.62
RYBIX	0.71	0.00	(0.04)	0.10	0.69	(0.81)	1.72	(1.02)	4.29
RYBOX	0.80	(0.13)	0.00	(0.05)	0.00	0.00	1.51	(1.75)	6.21
RYABX	0.79	(0.17)	0.00	1.11	0.00	0.00	1.55	(1.83)	5.15
RYACX	0.72	(0.20)	0.00	6.54	0.00	0.00	1.49	(1.95)	5.17
RYAIX	0.71	(0.20)	0.00	6.32	0.00	0.00	1.46	(1.95)	5.18

Unable to evaluate fundamental data of [RYBCX, RYBAX, RYBKX, RYBMX, RYBHX, RYBIX, RYBOX, RYABX, RYACX, RYAIX] at this time. Please try again later

All Fundamental Data

Inverse Emerging Competitive Analysis

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

	RYWZX	RYBCX	RYBAX	RYBKX	RYBMX	RYBHX	RYBIX	RYBOX	RYABX	RYACX
	3.83 8.03 Inverse	0.08 66.16 Basic	0.08 77.49 Basic	4.33 93.70 Banking	0.07 80.32 Basic	0.95 60.60 RYBHX	0.08 88.02 Basic	0.25 67.55 Biotechnology	1.40 21.82 Government	1.84 11.23 Inverse
Market Volatility (90 Days Market Risk)	Somewhat reliable	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady
Market Performance (90 Days Performance)	Very Weak	Weak	Weak	OK	Weak	OK	Weak	Very Weak	Very Weak	Very Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low	Low	Low	Low	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Fairly Valued	Fairly Valued	Fairly Valued	Fairly Valued	Under Valued	Fairly Valued	Fairly Valued	Over 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	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Strong Sell	Strong Hold	Cautious Hold	Strong Hold	Strong Hold	Buy	Strong Hold	Strong Hold	Strong Sell	Strong Hold
Net Asset	1.37 M	32.83 M	32.83 M	10.89 M	32.83 M	28.41 M	32.83 M	117.21 M	71.41 M	21.35 M
Minimum Initial Investment	N/A	N/A	N/A	2.5 K	2.5 K	N/A	N/A	2.5 K	2.5 K	N/A
Price To Book	N/A	2.17	2.17	1.05	1.36	3.34	2.17	3.49	N/A	N/A
Five Year Return	-25.17	9.27	10.09	7.14	10.15	10.73	10.37	3.8	-9.38	-20.91
One Year Return	-33.8	13.67	14.53	45.51	13.38	32.24	14.81	16.89	0.62	-21.59
Last Dividend Paid	0.34	0.54	0.54	2.26	0.54	N/A	0.54	N/A	0.01	0.03
Price To Earning	N/A	18.97	18.97	13.33	16.52	22.77	18.97	18.21	N/A	N/A
Price To Sales	N/A	1.17	1.17	2.59	0.86	1.84	1.17	4.68	N/A	N/A
Cash Position Weight	101.28	2.24	2.24	0.87	3.36	0.74	2.24	1.44	1.95	93.66
Equity Positions Weight	16.56	99.23	99.23	99.13	96.64	99.53	99.23	98.56	N/A	13.68
Three Year Return	-18.93	2.82	3.58	4.18	2.89	4.83	3.85	1.04	-17.88	-9.84
Annual Yield	0.0134	0.0257	0.0219	0.0123	0.0211	N/A	0.0193	N/A	0.0243	0.063
Year To Date Return	2.08	6.18	6.94	32.4	6.56	25.81	7.19	6.54	0.33	0.21
Bond Positions Weight	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A	52.66	0.27
Ten Year Return	N/A	2.67	3.31	2.57	3.44	8.39	3.7	17.31	9.73	-19.77
Daily Balance Of Power	(9,223,372,036,855)	9.2 T	9.2 T	(9,223,372,036,855)	9.2 T	9.2 T	9.2 T	(9,223,372,036,855)	(9,223,372,036,855)	(9,223,372,036,855)
Day Typical Price	8.03	66.16	77.49	93.7	80.32	60.6	88.02	67.55	21.82	11.23
Period Momentum Indicator	(0.32)	0.05	0.06	(4.24)	0.06	0.57	0.07	(0.17)	(0.31)	(0.21)
Rate Of Daily Change	0.96	1.0	1.0	0.96	1.0	1.01	1.0	1.0	0.99	0.98
Day Median Price	8.03	66.16	77.49	93.7	80.32	60.6	88.02	67.55	21.82	11.23
Price Action Indicator	(0.16)	0.025	0.03	(2.12)	0.03	0.29	0.035	(0.09)	(0.15)	(0.10)
Coefficient Of Variation	(1,140)	1173.24	974.85	864.85	1136.58	497.54	1119.8	(3,177)	(615.16)	(505.25)
Mean Deviation	1.95	0.71	0.7216	1.08	0.7108	0.751	0.7104	0.8047	0.7934	0.7181
Jensen Alpha	(0.21)	(0.01)	0.0681	(0)	(0)	0.146	(0)	(0.13)	(0.17)	(0.20)
Total Risk Alpha	(0.65)	(0.06)	(0.04)	(0.05)	(0.06)	0.0493	(0.06)	(0.20)	(0.33)	(0.35)
Sortino Ratio	N/A	(0.05)	(0.03)	0.0736	(0.04)	0.0997	(0.04)	N/A	N/A	N/A
Downside Variance	N/A	0.6044	0.6001	1.56	0.6028	0.712	0.5987	N/A	N/A	N/A
Standard Deviation	2.8	0.8875	0.8918	1.76	0.8879	0.9747	0.8873	1.09	1.06	0.9997
Kurtosis	2.0	0.0337	(0.05)	14.99	0.0445	1.59	0.038	2.99	1.23	1.09
Potential Upside	4.61	1.73	1.71	2.45	1.71	1.76	1.72	1.51	1.55	1.49
Treynor Ratio	0.5596	0.0929	0.6182	0.1007	0.0964	0.4738	0.0979	(0.05)	1.11	6.54
Maximum Drawdown	11.84	4.27	4.29	12.77	4.29	5.62	4.29	6.21	5.15	5.17
Variance	7.81	0.7876	0.7952	3.1	0.7884	0.9501	0.7873	1.19	1.13	0.9994
Market Risk Adjusted Performance	0.5696	0.1029	0.6282	0.1107	0.1064	0.4838	0.1079	(0.04)	1.12	6.55
Risk Adjusted Performance	(0.06)	0.0637	0.0764	0.0899	0.0657	0.1485	0.0667	(0.02)	(0.11)	(0.14)
Skewness	(0.71)	0.4735	0.4271	2.54	0.4691	0.659	0.4751	(1.22)	0.0248	0.06
Semi Deviation	N/A	0.688	0.6853	1.04	0.6851	0.614	0.6933	N/A	N/A	N/A
Information Ratio	(0.13)	(0.04)	(0.02)	0.0522	(0.04)	0.0863	(0.04)	(0.13)	(0.27)	(0.31)
Value At Risk	(5.41)	(1.03)	(1.03)	(1.99)	(1.04)	(1.23)	(1.02)	(1.75)	(1.83)	(1.95)
Expected Short fall	N/A	(0.81)	(0.81)	(1.34)	(0.81)	(0.85)	(0.81)	N/A	N/A	N/A
Downside Deviation	N/A	0.7775	0.7747	1.25	0.7764	0.8438	0.7737	N/A	N/A	N/A
Semi Variance	N/A	0.4734	0.4697	1.07	0.4694	0.377	0.4807	N/A	N/A	N/A

Inverse Emerging Competition Performance Charts

Five steps to successful analysis of Inverse Emerging Competition

Inverse Emerging'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 Inverse Emerging Markets in relation to its competition. Inverse Emerging's competition analysis typically involves several steps, including:

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

In addition to having Inverse Emerging 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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Obamacare Repeal

Healthcare and drug manufacturing companies that will most likely be affected by the final stages of Obamacare repeal. The Obamacare Repeal theme has 56 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 Obamacare Repeal Theme or any other thematic opportunities.

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Other Information on Investing in Inverse Mutual Fund

Inverse Emerging financial ratios help investors to determine whether Inverse 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 Inverse with respect to the benefits of owning Inverse Emerging security.

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