Leasing versus Purchasing Assets

  • A firm may choose to purchase outright a long-lived asset, such as an airplane or an office building, giving the firm full benefit and risk from asset ownership; however it may also enter into a lease agreement with another firm, to lease an asset and assume partial benefit and risk associated with the asset.
  • Lessee – “borrower” of the leased asset.
  • Lessor – “lender” of the leased asset.
  • Operating Lease – typically a short-term lease where the lessor retains most of the benefits and risks associated with owning the asset.
  • Capital Lease – typically a long-term lease where the lessee assumes most of the benefits and risks associated with owning the asset.
  • In capitalizing a lease, an equal balance sheet asset and liability are created and both are reduced over the term of the lease; these reductions are expensed to the income statement.
  • Lessees and Operating Leases – a company may be incented to treat leases as operating leases because the financial commitment associated with the operating lease contract is not recorded on the balance sheet as a liability.  Operating leases can be seen as a form of off-balance sheet financing for a company.  If a lease is capitalized by a lessee, the resulting liability will have debt-like impacts on a company’s financial ratios.
  • Lessors and Capital Leases – companies who act as lessors may be incented to treat leases as sales-type capital leases in order to show higher net income.

Data Science in Finance: 9-Book Bundle

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Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.