Compare Mizrahi to First, Israel, Bank, Bank

Comparing Mizrahi to First, Israel, Bank, Bank 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.

	MZTF	FIBI	DSCT	LUMI	POLI
MZTF		0.96	0.98	0.97	0.98	MZTF
FIBI	0.96		0.97	0.91	0.93	FIBI
DSCT	0.98	0.97		0.97	0.98	DSCT
LUMI	0.97	0.91	0.97		0.99	LUMI
POLI	0.98	0.93	0.98	0.99		POLI
	MZTF	FIBI	DSCT	LUMI	POLI

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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
MZTF	1.24	0.24	0.08	(64.93)	1.27	(1.45)	2.71	(2.12)	6.12
FIBI	1.16	0.17	0.04	2.82	1.19	(1.42)	2.41	(2.24)	5.31
DSCT	1.23	0.26	0.10	13.04	1.17	(1.42)	2.60	(2.64)	7.16
LUMI	1.19	0.35	0.14	3.83	1.22	(1.26)	2.58	(2.60)	6.40
POLI	1.11	0.29	0.13	3.31	1.13	(1.24)	2.62	(2.41)	6.10

Unable to evaluate fundamental data of [MZTF.TA, FIBI.TA, DSCT.TA, LUMI.TA, POLI.TA] at this time. Please try again later

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Competitive Analysis

Better Than Average

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	MZTF	FIBI	DSCT	LUMI	POLI
	0.63 16,000 Mizrahi	0.29 17,150 First	1.79 2,394 Israel	1.67 4,135 Bank	2.13 4,210 Bank
Market Volatility (90 Days Market Risk)	Very steady	Very steady	Very steady	Very steady	Very steady
Market Performance (90 Days Performance)	Solid	Solid	Solid	Solid	Solid
Odds of Financial Distress (Probability Of Bankruptcy)	Below Average	Below Average	Below Average	Below Average	Below Average
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Under Valued	Under Valued	Under Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Strong Sell	Strong Hold	Strong Buy	Strong Buy	Strong Buy
Net Asset	392.27 B	180.47 B	335.09 B	656.45 B	638.78 B
Profit Margin	0.33 %	0.30 %	0.26 %	0.41 %	0.34 %
Operating Margin	0.52 %	0.47 %	0.39 %	0.58 %	0.53 %
Current Valuation	(31.1 B)	(41.26 B)	(16.3 B)	(111.82 B)	(111.13 B)
Price To Book	1.32 X	1.43 X	1.03 X	0.92 X	0.94 X
Retained Earnings	10.6 B	3.01 B	9.84 B	22.44 B	25.28 B
Current Asset	44.27 B	29.48 B	32.45 B	80.2 B	84.65 B
Five Year Return	N/A	3.69 %	N/A	N/A	2.15 %
Beta	0.49	0.27	0.67	0.39	0.47
Number Of Employees	7.63 K	3.65 K	8.04 K	64	8.54 K
Shares Outstanding	257.18 M	100.33 M	1.24 B	1.47 B	1.34 B
Cash Flow From Operations	4.13 B	(1.1 B)	4.46 B	5.2 B	5.18 B
Annual Yield	0.03 %	0.05 %	0.03 %	0.03 %	0.02 %
Total Debt	30.25 B	5.29 B	12.3 B	31.13 B	25.58 B
Return On Equity	0.18	0.14	0.13	0.15	0.13
Z Score	N/A	1.2	0.6	0.6	0.6
Return On Asset	0.0103	0.0082	0.009	0.0104	0.009
Book Value Per Share	89.51 X	101.93 X	19.49 X	32.64 X	33.71 X
Current Liabilities	178.58 B	107.72 B	178.51 B	350.44 B	341.74 B
Total Asset	392.27 B	180.47 B	335.09 B	656.45 B	638.78 B
Target Price	146.0	154.0	25.54	40.32	41.52
Last Dividend Paid	3.66	7.08	0.5	1.12	0.7
Shares Owned By Institutions	30.05 %	18.93 %	51.20 %	43.62 %	39.59 %
Market Capitalization	29.86 B	14.13 B	22.53 B	43.72 B	40.65 B
Price To Earnings To Growth	1.49 X	N/A	0.42 X	0.82 X	0.59 X
Price To Sales	2.42 X	2.96 X	2.00 X	2.63 X	2.48 X
Net Income	3.19 B	1.41 B	2.77 B	6.03 B	4.91 B
Earnings Per Share	15.75 X	14.53 X	2.56 X	4.63 X	4.28 X
Shares Owned By Insiders	41.57 %	48.36 %	N/A	N/A	5.62 %
Revenue	10.25 B	4.39 B	10.43 B	15.49 B	14.3 B
Working Capital	(134.31 B)	(78.24 B)	(146.07 B)	(270.24 B)	(257.09 B)
Cash And Equivalents	51.29 B	35.28 B	24.75 B	93.51 B	175.46 B
Cash Per Share	219.60 X	350.83 X	21.26 X	62.60 X	131.34 X
Gross Profit	10.6 B	4.77 B	11.18 B	15.83 B	15.61 B
Day Typical Price	15903.33	17150.0	2374.33	4105.0	4182.33
Accumulation Distribution	0.0243	0.0173	0.0246	0.0242	0.0197
Market Facilitation Index	390.0	300.0	59.0	100.0	83.0
Daily Balance Of Power	0.2564	(0.17)	0.7119	0.68	1.060241
Period Momentum Indicator	100.0	(50.00)	42.0	68.0	88.0
Rate Of Daily Change	1.01	1.0	1.02	1.02	1.02
Day Median Price	15855.0	17150.0	2364.5	4090.0	4168.5
Price Action Indicator	195.0	(25.00)	50.5	79.0	85.5
Relative Strength Index	46.34	49.5	53.48	49.65	49.2
Coefficient Of Variation	610.88	772.28	559.93	415.02	453.46
Mean Deviation	1.24	1.16	1.23	1.19	1.11
Jensen Alpha	0.2407	0.1672	0.2648	0.346	0.2891
Total Risk Alpha	(0.0005)	(0.05)	0.0228	0.1172	0.0786
Sortino Ratio	0.0845	0.0407	0.1	0.1403	0.1274
Downside Variance	2.0	1.76	2.15	2.84	1.98
Standard Deviation	1.53	1.43	1.55	1.52	1.41
Kurtosis	(0.25)	0.0208	0.2532	(0.03)	(0.17)
Potential Upside	2.71	2.41	2.6	2.58	2.62
Treynor Ratio	(64.93)	2.82	13.04	3.83	3.31
Maximum Drawdown	6.12	5.31	7.16	6.4	6.1
Variance	2.34	2.03	2.41	2.32	1.98
Market Risk Adjusted Performance	(64.92)	2.83	13.05	3.84	3.32
Risk Adjusted Performance	0.1305	0.1039	0.142	0.1898	0.1737
Skewness	(0.18)	(0.1)	0.0616	(0.41)	(0.16)
Semi Deviation	1.27	1.19	1.17	1.22	1.13
Information Ratio	0.0781	0.0378	0.0944	0.1551	0.1275
Value At Risk	(2.12)	(2.24)	(2.64)	(2.60)	(2.41)
Expected Short fall	(1.45)	(1.42)	(1.42)	(1.26)	(1.24)
Downside Deviation	1.41	1.33	1.46	1.69	1.41
Semi Variance	1.62	1.41	1.37	1.49	1.27

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.

Generate Optimal Portfolios

The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)

By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations

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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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.

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