Banco Macro Sa Stock Market Value
| BMA Stock | USD 48.98 3.09 5.93% |
| Symbol | Banco |
Banco Macro SA Price To Book Ratio
Is Banco Macro's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Banco Macro. If investors know Banco will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Banco Macro listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 5.275 | Earnings Share 0.54 | Revenue Per Share 44.5 K | Quarterly Revenue Growth 1.304 | Return On Assets 0.0888 |
The market value of Banco Macro SA is measured differently than its book value, which is the value of Banco that is recorded on the company's balance sheet. Investors also form their own opinion of Banco Macro's value that differs from its market value or its book value, called intrinsic value, which is Banco Macro's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Banco Macro's market value can be influenced by many factors that don't directly affect Banco Macro's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Banco Macro's value and its price as these two are different measures arrived at by different means. Investors typically determine if Banco Macro is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Banco Macro's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Banco Macro 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Banco Macro's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Banco Macro.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Banco Macro on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Banco Macro SA or generate 0.0% return on investment in Banco Macro over 30 days. Banco Macro is related to or competes with Grupo Supervielle, BBVA Banco, Banco Bradesco, Itau Unibanco, Grupo Financiero, Banco Bradesco, and Grupo Aval. Banco Macro S.A. provides various banking products and services to retail and corporate customers in Argentina More
Banco Macro Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Banco Macro's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Banco Macro SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.54 | |||
| Information Ratio | 0.2508 | |||
| Maximum Drawdown | 16.22 | |||
| Value At Risk | (6.07) | |||
| Potential Upside | 6.49 |
Banco Macro Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Banco Macro's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Banco Macro's standard deviation. In reality, there are many statistical measures that can use Banco Macro historical prices to predict the future Banco Macro's volatility.| Risk Adjusted Performance | 0.1817 | |||
| Jensen Alpha | 0.8116 | |||
| Total Risk Alpha | 0.4836 | |||
| Sortino Ratio | 0.2473 | |||
| Treynor Ratio | 0.5478 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Banco Macro'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.
Banco Macro SA Backtested Returns
Banco Macro appears to be not too volatile, given 3 months investment horizon. Banco Macro SA secures Sharpe Ratio (or Efficiency) of 0.19, which signifies that the company had a 0.19% return per unit of risk over the last 3 months. By analyzing Banco Macro's technical indicators, you can evaluate if the expected return of 0.67% is justified by implied risk. Please makes use of Banco Macro's Downside Deviation of 3.54, risk adjusted performance of 0.1817, and Mean Deviation of 2.69 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Banco Macro holds a performance score of 14. The firm shows a Beta (market volatility) of 1.76, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Banco Macro will likely underperform. Please check Banco Macro's jensen alpha, maximum drawdown, semi variance, as well as the relationship between the sortino ratio and potential upside , to make a quick decision on whether Banco Macro's price patterns will revert.
Auto-correlation | 0.50 |
Modest predictability
Banco Macro SA has modest predictability. Overlapping area represents the amount of predictability between Banco Macro time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Banco Macro SA price movement. The serial correlation of 0.5 indicates that about 50.0% of current Banco Macro price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 3.47 |
Banco Macro SA lagged returns against current returns
Autocorrelation, which is Banco Macro stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Banco Macro's stock expected returns. We can calculate the autocorrelation of Banco Macro returns to help us make a trade decision. For example, suppose you find that Banco Macro has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Banco Macro regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Banco Macro stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Banco Macro stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Banco Macro stock over time.
Current vs Lagged Prices |
| Timeline |
Banco Macro Lagged Returns
When evaluating Banco Macro's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Banco Macro stock have on its future price. Banco Macro autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Banco Macro autocorrelation shows the relationship between Banco Macro stock current value and its past values and can show if there is a momentum factor associated with investing in Banco Macro SA.
Regressed Prices |
| Timeline |
Pair Trading with Banco Macro
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 Macro 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 Macro will appreciate offsetting losses from the drop in the long position's value.Moving together with Banco Stock
| 0.96 | DB | Deutsche Bank AG Earnings Call Today | PairCorr |
| 0.81 | NU | Nu Holdings Financial Report 20th of May 2024 | PairCorr |
Moving against Banco Stock
| 0.85 | EBTC | Enterprise Bancorp | PairCorr |
| 0.68 | VABK | Virginia National | PairCorr |
| 0.67 | VBNK | VersaBank Financial Report 5th of June 2024 | PairCorr |
| 0.62 | EBMT | Eagle Bancorp Montana Financial Report 23rd of July 2024 | PairCorr |
| 0.58 | EFSC | Enterprise Financial Financial Report 22nd of July 2024 | PairCorr |
The ability to find closely correlated positions to Banco Macro 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 Macro 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 Macro - 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 Macro SA to buy it.
The correlation of Banco Macro 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 Macro moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banco Macro SA 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 Macro 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 Banco Macro Correlation, Banco Macro Volatility and Banco Macro Alpha and Beta module to complement your research on Banco Macro. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for Banco Stock analysis
When running Banco Macro's price analysis, check to measure Banco Macro'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 Macro is operating at the current time. Most of Banco Macro's value examination focuses on studying past and present price action to predict the probability of Banco Macro'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 Macro's price. Additionally, you may evaluate how the addition of Banco Macro to your portfolios can decrease your overall portfolio volatility.
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Banco Macro technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.