Bereken netto kasstroom

In de laatste video zag je wat kasuitstromen en -instromen zijn. In deze oefening test je die kennis. Je telt transacties op bij en trekt ze af van de nettowinst om de netto kasstroom te berekenen. De oefening bevat één transactie uit elk deel van het kasstroomoverzicht: kasstroom uit operationele, investerings- en financieringsactiviteiten.

Deze oefening maakt deel uit van de cursus

Financiële overzichten analyseren in Python

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Oefeninstructies

Tel de netto kasinstromen en -uitstromen correct bij de nettowinst op of trek ze er correct van af, en vul de lege plekken in met + of -.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

net_profit = 1000

decrease_in_accounts_recievable = 20

sale_of_property = 430

dividends_paid = 50

# Fill in the blanks
net_cash_flow = net_profit ____ decrease_in_accounts_recievable ____ sale_of_property ____ dividends_paid
print(net_cash_flow)

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Deze oefening maakt deel uit van de cursus

Financiële overzichten analyseren in Python

SkillTag.level.intermediateSkillTag.label

4.7+

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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: Introduction to the balance sheet Exercise 2: Match balance sheet items to their class Exercise 3: Relation of assets, liabilities, and shareholders' equity Exercise 4: Practice using the main equation of accounting Exercise 5: Financial ratios from the balance sheet Exercise 6: Match the ratio to its family Exercise 7: Compute the current ratio Exercise 8: Leverage ratios Exercise 9: Computing financial ratios using pandas Exercise 10: Compute current and debt-to-equity ratios Exercise 11: Compute relative difference by industry Exercise 12: Compute ratios by industry

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: Kasstroomoverzicht Exercise 2: Wijs kasstroomposten toe aan het juiste onderdeel Exercise 3: Bereken netto kasstroom

Huidige oefening

Exercise 4: Financiële kengetallen uit het kasstroomoverzicht Exercise 5: Financiële overzichten samenvoegen Exercise 6: Kasstroomratio's berekenen Exercise 7: Missende waarden imputeren en invullen met gemiddelden Exercise 8: Missende waarden imputeren met percentielen Exercise 9: Financiële overzichten samenvoegen en ontbrekende waarden invullen Exercise 10: Financiële kengetallen visualiseren voor vergelijking Exercise 11: Kasmstroomratio’s plotten

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!