Banco Patagonia Stock Return On Asset
| BPAT Stock | ARS 1,203 17.50 1.43% |
Banco Patagonia fundamentals help investors to digest information that contributes to Banco Patagonia's financial success or failures. It also enables traders to predict the movement of Banco Stock. The fundamental analysis module provides a way to measure Banco Patagonia's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Banco Patagonia stock.
Banco |
Banco Patagonia Company Return On Asset Analysis
Banco Patagonia's Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.
Current Banco Patagonia Return On Asset | 0.0113 |
Most of Banco Patagonia's fundamental indicators, such as Return On Asset, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Banco Patagonia is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.
| Competition |
Based on the latest financial disclosure, Banco Patagonia has a Return On Asset of 0.0113. This is 102.4% lower than that of the Financial Services sector and 99.48% lower than that of the Banks - Regional - Latin America industry. The return on asset for all Argentina stocks is 108.07% lower than that of the firm.
Banco Return On Asset Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Banco Patagonia's direct or indirect competition against its Return On Asset to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Banco Patagonia could also be used in its relative valuation, which is a method of valuing Banco Patagonia by comparing valuation metrics of similar companies.Banco Patagonia is currently under evaluation in return on asset category among related companies.
Banco Fundamentals
| Return On Equity | 0.0675 | |||
| Return On Asset | 0.0113 | |||
| Profit Margin | 0.07 % | |||
| Operating Margin | 0.14 % | |||
| Current Valuation | (25.94 B) | |||
| Shares Outstanding | 696.38 M | |||
| Shares Owned By Insiders | 83.50 % | |||
| Shares Owned By Institutions | 15.42 % | |||
| Price To Earning | 5.27 X | |||
| Price To Book | 0.54 X | |||
| Price To Sales | 0.71 X | |||
| Revenue | 71.52 B | |||
| Gross Profit | 69.08 B | |||
| Net Income | 7.01 B | |||
| Cash And Equivalents | 52.89 B | |||
| Cash Per Share | 73.54 X | |||
| Total Debt | 17.28 B | |||
| Book Value Per Share | 181.74 X | |||
| Cash Flow From Operations | 269.74 M | |||
| Earnings Per Share | 9.21 X | |||
| Number Of Employees | 2.99 K | |||
| Beta | 1.28 | |||
| Market Capitalization | 114.9 B | |||
| Total Asset | 460.4 B | |||
| Retained Earnings | 7.5 B | |||
| Working Capital | (33.32 B) | |||
| Current Asset | 13.56 B | |||
| Current Liabilities | 46.88 B | |||
| Z Score | 3.6 | |||
| Annual Yield | 0.05 % | |||
| Net Asset | 460.4 B | |||
| Last Dividend Paid | 4.08 |
About Banco Patagonia Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Banco Patagonia's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Banco Patagonia using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Banco Patagonia based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Banco Patagonia
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Banco Patagonia position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Banco Patagonia will appreciate offsetting losses from the drop in the long position's value.Moving together with Banco Stock
| 0.74 | BMA | Banco Macro SA | PairCorr |
| 0.77 | SUPV | Grupo Supervielle | PairCorr |
| 0.87 | BHIP | Banco Hipotecario | PairCorr |
The ability to find closely correlated positions to Banco Patagonia could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Banco Patagonia when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Banco Patagonia - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Banco Patagonia to buy it.
The correlation of Banco Patagonia is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Banco Patagonia moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banco Patagonia moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Banco Patagonia can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Banco Patagonia. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Complementary Tools for Banco Stock analysis
When running Banco Patagonia's price analysis, check to measure Banco Patagonia'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 Banco Patagonia is operating at the current time. Most of Banco Patagonia's value examination focuses on studying past and present price action to predict the probability of Banco Patagonia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Banco Patagonia's price. Additionally, you may evaluate how the addition of Banco Patagonia to your portfolios can decrease your overall portfolio volatility.
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