Calcula los ratios de liquidez corriente y deuda-capital

Acabas de aprender sobre los ratios de liquidez. En este ejercicio, vas a calcular el ratio de liquidez corriente (current ratio), un ratio de liquidez, para evaluar si la empresa puede afrontar sus compromisos a corto plazo con sus activos. También calcularás el ratio deuda-capital (debt-to-equity), un ratio de apalancamiento muy utilizado, para ver si la empresa opera con más deuda o con fondos "propios".

Se ha cargado para ti un DataFrame de pandas llamado balance_sheet. pandas con el alias pd también está cargado.

Este ejercicio forma parte del curso

Análisis de estados financieros en Python

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# Print the columns in df_bal_sheet
print(balance_sheet____)

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Este ejercicio forma parte del curso

Análisis de estados financieros en Python

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In this chapter, you will learn how to read and interpret a balance sheet and compute and use financial ratios to evaluate a company's performance using information from the balance sheet. Additionally, you'll gain hands-on experience using the powerful pandas data manipulation package to analyze a company's financial ratios and compare them to its peers in the industry.

Exercise 1: Introducción al balance Exercise 2: Relaciona las partidas del balance con su categoría Exercise 3: Relación entre activos, pasivos y patrimonio de los accionistas Exercise 4: Practica con la ecuación principal de la contabilidad Exercise 5: Ratios financieros del balance Exercise 6: Relaciona el ratio con su familia Exercise 7: Calcula el current ratio Exercise 8: Ratios de apalancamiento Exercise 9: Calcular ratios financieros con pandas Exercise 10: Calcula los ratios de liquidez corriente y deuda-capital

Ejercicio actual

Exercise 11: Calcula la diferencia relativa por industria Exercise 12: Calcula ratios por industria

In this chapter, you'll learn how to read and interpret an income statement, calculate key financial ratios, and even create your own functions in Python to automate repetitive tasks. You'll also gain experience using seaborn, a powerful data visualization library, to produce figures to help you understand a company's financial performance.

Exercise 1: Introduction to the income statement Exercise 2: Compute net income Exercise 3: Computing ratios from the income statement Exercise 4: Ratios from the income statement and balance sheet Exercise 5: Updating the user-defined function Exercise 6: Updating user-defined function to do subtraction Exercise 7: Computing ratios with user-defined function Exercise 8: Computing multiple ratios with the user-defined function Exercise 9: Visualizing ratios for within-company analysis Exercise 10: Plotting ratios Exercise 11: Plotting ratios in one figure

In this chapter, you’ll analyze the cash flow statement and use its information to compute and interpret financial ratios. Using Seaborn to create informative plots that compare financial ratios across different companies, you'll build on your existing knowledge of Python and data visualization. By the end of this chapter, you'll have the skills to extract insights from cash flow statements using Python and handle messy, real-world data sets with missing data.

Exercise 1: Cash flow statement Exercise 2: Assign cash flow entries to the correct part Exercise 3: Compute net cash flow Exercise 4: Financial ratios from the cash flow statement Exercise 5: Merging financial statements Exercise 6: Compute cash flow statement ratios Exercise 7: Imputing and filling in missing values using averages Exercise 8: Imputing missing values with percentiles Exercise 9: Merging financial statements and filling missing values Exercise 10: Visualizing financial ratios for comparison Exercise 11: Plotting cash flow ratios

In this chapter, you'll learn about the different financial ratios that measure a company's profitability, how to compute them, and how to compare them across other companies. You'll build upon your knowledge of the Seaborn library to create visualizations that help you analyze profitability ratios and identify trends.

Exercise 1: A glimpse into the financial ratios of some industries Exercise 2: Using margins in pivot tables and making a bar plot Exercise 3: Preparing data for a facet grid plot Exercise 4: Making a facet grid plot Exercise 5: User-defined function to make plots Exercise 6: Profitability metrics Exercise 7: Relationship between operating margin and debt-to-equity for real estate companies Exercise 8: Practice with sns.regplot()Exercise 9: Updating the user-defined function for plotting Exercise 10: More on analyzing profitability Exercise 11: Practice making heat maps Exercise 12: Broad analysis Exercise 13: Well done!