BBVA Short Term Debt from 2010 to 2024
| BBAR Stock | USD 14.10 0.39 2.84% |
Short Term Debt | First Reported 2002-12-31 | Previous Quarter 496.2 M | Current Value 1.2 B | Quarterly Volatility 3.4 B |
Check BBVA Banco financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among BBVA Banco's main balance sheet or income statement drivers, such as Interest Expense of 1.6 T, Selling General Administrative of 461.3 B or Selling And Marketing Expenses of 14.4 B, as well as many indicators such as Price To Sales Ratio of 0.43, Dividend Yield of 3.0E-4 or PTB Ratio of 0.59. BBVA financial statements analysis is a perfect complement when working with BBVA Banco Valuation or Volatility modules.
BBVA | Short Term Debt |
Latest BBVA Banco's Short Term Debt Growth Pattern
Below is the plot of the Short Term Debt of BBVA Banco Frances over the last few years. It is BBVA Banco's Short Term Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in BBVA Banco's overall financial position and show how it may be relating to other accounts over time.
| Short Term Debt | 10 Years Trend |
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Short Term Debt |
| Timeline |
BBVA Short Term Debt Regression Statistics
| Arithmetic Mean | 3,081,276,448 | |
| Geometric Mean | 0.00 | |
| Coefficient Of Variation | 121.01 | |
| Mean Deviation | 2,845,174,308 | |
| Median | 1,222,779,000 | |
| Standard Deviation | 3,728,785,629 | |
| Sample Variance | 13903842.3T | |
| Range | 11.8B | |
| R-Value | (0.37) | |
| Mean Square Error | 12965923T | |
| R-Squared | 0.13 | |
| Significance | 0.18 | |
| Slope | (305,291,385) | |
| Total Sum of Squares | 194653791.7T |
BBVA Short Term Debt History
About BBVA Banco Financial Statements
BBVA Banco shareholders use historical fundamental indicators, such as Short Term Debt, to determine how well the company is positioned to perform in the future. Although BBVA Banco investors may analyze each financial statement separately, they are all interrelated. The changes in BBVA Banco's assets and liabilities, for example, are also reflected in the revenues and expenses on on BBVA Banco's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Short Term Debt | 1.2 B | 2.1 B |
Pair Trading with BBVA Banco
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 BBVA Banco 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 BBVA Banco will appreciate offsetting losses from the drop in the long position's value.Moving together with BBVA Stock
The ability to find closely correlated positions to BBVA Banco could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BBVA Banco 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 BBVA Banco - 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 BBVA Banco Frances to buy it.
The correlation of BBVA Banco 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 BBVA Banco moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BBVA Banco Frances 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 BBVA Banco 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.Additional Tools for BBVA Stock Analysis
When running BBVA Banco's price analysis, check to measure BBVA Banco'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 BBVA Banco is operating at the current time. Most of BBVA Banco's value examination focuses on studying past and present price action to predict the probability of BBVA Banco's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BBVA Banco's price. Additionally, you may evaluate how the addition of BBVA Banco to your portfolios can decrease your overall portfolio volatility.