BSML Competition

BSML competes with Vanguard Total, SPDR SP, IShares Core, Vanguard Total, and Vanguard Value; as well as few others. Analyzing BSML 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 BSML to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in population.

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 BSML competition on your existing holdings.

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Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BSML's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.

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

BSML Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between BSML and its competitors represents the degree of relationship between the price movements of corresponding etfs. A correlation of about +1.0 implies that the price of BSML 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 BSML does not affect the price movement of the other competitor.

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.77	0.85	0.85	0.06	0.72	0.71	0.82	0.66	0.77	META
MSFT	0.77		0.6	0.81	0.21	0.7	0.69	0.82	0.53	0.78	MSFT
UBER	0.85	0.6		0.72	0.04	0.68	0.82	0.75	0.57	0.51	UBER
F	0.85	0.81	0.72		0.26	0.69	0.69	0.86	0.74	0.77	F
T	0.06	0.21	0.04	0.26		0.28	0.31	0.28	0.26	0.09	T
A	0.72	0.7	0.68	0.69	0.28		0.78	0.88	0.25	0.7	A
CRM	0.71	0.69	0.82	0.69	0.31	0.78		0.79	0.4	0.44	CRM
JPM	0.82	0.82	0.75	0.86	0.28	0.88	0.79		0.56	0.84	JPM
MRK	0.66	0.53	0.57	0.74	0.26	0.25	0.4	0.56		0.53	MRK
XOM	0.77	0.78	0.51	0.77	0.09	0.7	0.44	0.84	0.53		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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BSML Competition Risk-Adjusted Indicators

There is a big difference between BSML Etf performing well and BSML ETF 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 BSML'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
META	1.71	0.42	0.28	0.36	1.24	(2.13)	3.27	(2.28)	24.74
MSFT	0.94	(0.01)	0.00	0.05	1.03	(1.17)	2.11	(2.07)	5.31
UBER	1.60	0.07	0.08	0.10	1.53	(1.96)	2.83	(2.72)	18.39
F	1.59	0.00	0.03	0.06	1.86	(1.73)	4.07	(3.30)	9.61
T	0.92	(0.01)	(0.04)	0.03	1.15	(0.97)	2.18	(1.85)	5.92
A	1.20	(0.06)	(0.02)	0.02	1.44	(1.24)	2.26	(2.44)	6.31
CRM	1.24	(0.06)	(0.02)	0.02	1.98	(1.27)	2.83	(2.96)	10.84
JPM	0.78	0.05	0.04	0.10	1.31	(0.78)	1.72	(1.14)	8.65
MRK	0.64	0.04	0.04	0.10	0.66	(0.70)	1.18	(0.98)	6.92
XOM	0.80	0.27	0.29	0.64	0.48	(1.01)	1.96	(1.17)	4.66

BSML Competitive Analysis

The better you understand BSML competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, BSML'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 BSML's competition over several years is one of the best ways to analyze its investment potential.

Better Than Average

Worse Than Peers

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	VTI	SPY	IVV	BND	VTV	VUG	VO	VEA	VB	VWO
	0.21 247.17 Vanguard	0.21 499.52 SPDR	0.23 501.88 IShares	0.27 70.70 Vanguard	0.16 154.81 Vanguard	0.61 329.90 Vanguard	0.10 235.12 Vanguard	0.10 47.83 Vanguard	0.21 210.76 Vanguard	0.27 41.01 Vanguard
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)	Modest	Modest	Modest	Very Weak	OK	Insignificant	Insignificant	Insignificant	Very Weak	OK
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low	Low	Low	Low	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Fairly Valued	Fairly Valued	Fairly Valued	Over Valued	Over Valued	Over Valued	Over 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 Buy	Strong Hold	Strong Buy	Hold	Hold	Hold	Strong Hold	Cautious Hold	Cautious Hold	Strong Hold
Price To Sales	31.92	1.93	1.9	N/A	1.43	2.98	1.57	1.0	1.25	1.2
Equity Positions Weight	99.06	99.92	99.82	N/A	99.75	99.74	98.97	97.25	97.71	96.93
Three Year Return	6.0	7.8	7.9	-3.4	7.2	6.9	2.1	0.8	0.0	-5.0
Net Asset	1.15 T	367.35 B	294.73 B	268.1 B	149.28 B	136.74 B	136.4 B	134.45 B	114.93 B	83.02 B
Price To Book	2.59	2.75	2.7	N/A	2.07	4.29	2.46	1.44	2.06	1.52
Five Year Return	12.6	13.3	13.4	N/A	9.9	16.4	9.1	5.7	7.8	1.7
One Year Return	22.1	22.6	22.8	0.0	12.4	33.9	13.2	7.2	13.2	3.7
Last Dividend Paid	0.7	1.37	0.8	0.14	0.7	0.42	0.51	0.2	0.32	0.17
Bond Positions Weight	N/A	N/A	N/A	7.99	N/A	N/A	N/A	N/A	N/A	N/A
Ten Year Return	11.8	12.3	12.4	1.2	9.8	14.7	9.3	4.5	8.3	2.7
Price To Earning	4.64	21.44	2.9	N/A	73.58	4.99	8.85	15.67	3.94	6.21
Beta	1.04	1.0	1.0	0.99	0.79	1.2	1.05	1.08	1.05	0.87
Day Typical Price	247.78	500.74	503.16	70.74	155.05	330.97	235.69	47.91	211.46	41.04
Accumulation Distribution	0.0115	0.011	0.011	0.0035	0.009	0.0129	0.0117	0.0089	0.0151	0.007
Market Facilitation Index	2.88	5.57	5.56	0.25	1.41	4.3	2.78	0.43	3.23	0.29
Daily Balance Of Power	(0.18)	(0.18)	(0.21)	(0.76)	0.1702	(0.47)	(0.09)	(0.12)	(0.14)	0.3793
Period Momentum Indicator	(0.51)	(1.03)	(1.16)	(0.19)	0.24	(2.03)	(0.24)	(0.05)	(0.45)	0.11
Rate Of Daily Change	1.0	1.0	1.0	1.0	1.0	0.99	1.0	1.0	1.0	1.0
Day Median Price	248.09	501.35	503.8	70.77	155.18	331.5	235.97	47.94	211.82	41.06
Price Action Indicator	(1.18)	(2.34)	(2.50)	(0.16)	(0.24)	(2.62)	(0.97)	(0.14)	(1.28)	0.01
Coefficient Of Variation	961.83	785.97	876.57	(1,109)	682.94	1119.25	1325.75	1040.81	1730.39	1331.43
Mean Deviation	0.5904	0.5571	0.567	0.2878	0.4391	0.7582	0.5973	0.4889	0.8032	0.5837
Jensen Alpha	0.0045	0.0669	0.014	(0.06)	0.0591	0.0151	(0.02)	0.0443	0.0289	(0.0002)
Total Risk Alpha	(0)	0.0135	0.0041	(0.08)	0.0199	(0.02)	(0.02)	(0.01)	(0.05)	(0.03)
Sortino Ratio	0.0126	0.0337	0.021	N/A	0.0252	0.0229	(0.01)	(0.01)	(0.01)	(0.01)
Downside Variance	0.572	0.4935	0.5091	N/A	0.4181	0.8589	0.6793	0.546	1.4	0.8288
Standard Deviation	0.7517	0.7251	0.7324	0.3708	0.5796	1.01	0.755	0.6582	1.02	0.7818
Kurtosis	(0.02)	0.1943	0.1175	0.6927	0.5063	0.4956	(0.27)	0.7828	0.2061	1.11
Potential Upside	1.11	1.08	1.04	0.4733	0.8806	1.63	1.19	1.1	1.56	1.29
Treynor Ratio	0.0627	0.313	0.0724	(0.16)	0.278	0.0723	0.04	0.3503	0.1427	0.0583
Maximum Drawdown	3.42	3.45	3.49	1.77	2.89	5.06	3.11	2.98	4.35	4.4
Variance	0.5651	0.5257	0.5365	0.1375	0.336	1.01	0.57	0.4333	1.05	0.6112
Market Risk Adjusted Performance	0.0727	0.323	0.0824	(0.15)	0.288	0.0823	0.05	0.3603	0.1527	0.0683
Risk Adjusted Performance	0.066	0.0801	0.0721	(0.06)	0.0898	0.0591	0.0484	0.06	0.0397	0.0485
Skewness	(0.21)	(0.09)	(0.06)	(0.77)	(0.45)	0.3737	(0.45)	(0.51)	(0.56)	(0.11)
Semi Deviation	0.6499	0.5609	0.5799	N/A	0.486	0.7624	0.7584	0.5907	1.09	0.7874
Information Ratio	0.0127	0.0326	0.0204	(0.28)	0.0281	0.0211	(0.02)	(0.01)	(0.01)	(0.01)
Value At Risk	(1.23)	(1.25)	(1.24)	(0.80)	(1.02)	(1.48)	(1.38)	(1.05)	(1.73)	(1.34)
Expected Short fall	(0.63)	(0.63)	(0.61)	N/A	(0.45)	(0.82)	(0.60)	(0.48)	(0.78)	(0.54)
Downside Deviation	0.7563	0.7025	0.7135	N/A	0.6466	0.9268	0.8242	0.7389	1.18	0.9104
Semi Variance	0.4224	0.3146	0.3363	N/A	0.2362	0.5813	0.5752	0.3489	1.19	0.62

BSML Competition Performance Charts

Five steps to successful analysis of BSML Competition

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

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

In addition to having BSML 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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Petroleum and Natural Gas

Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Petroleum and Natural Gas theme has 61 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 Petroleum and Natural Gas Theme or any other thematic opportunities.

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Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in population.

You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.

Other Tools for BSML Etf

When running BSML's price analysis, check to measure BSML's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy BSML is operating at the current time. Most of BSML's value examination focuses on studying past and present price action to predict the probability of BSML's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BSML's price. Additionally, you may evaluate how the addition of BSML to your portfolios can decrease your overall portfolio volatility.

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