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The discussion in this section explains an economic theory behind optimal transfer pricing with optimal defined as transfer pricing that maximizes overall firm profits in a non-realistic world with no taxes, no capital risk, no development risk, no externalities or any other frictions which exist in the real world.
The transactional net margin method (TNMM) in transfer pricing compares the net profit margin of a taxpayer arising from a non-arm's length transaction with the net profit margins realized by arm's length parties from similar transactions; and examines the net profit margin relative to an appropriate base such as costs, sales or assets.
The Fund Transfer Pricing (FTP) measures the contribution by each source of funding to the overall profitability in a financial institution. [1] Funds that go toward lending products are charged to asset-generating businesses whereas funds generated by deposit and other funding products are credited to liability-generating businesses.
An advance pricing agreement (APA) is an ahead-of-time agreement between a taxpayer and a tax authority on an appropriate transfer pricing methodology (TPM) for a set of transactions at issue over a fixed period of time [1] (called "Covered Transactions").
Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).
Cost-plus pricing is a pricing strategy by which the selling price of a product is determined by adding a specific fixed percentage (a "markup") to the product's unit cost. Essentially, the markup percentage is a method of generating a particular desired rate of return. [1] [2] An alternative pricing method is value-based pricing. [3]
See Asset pricing for a listing of the various models here. As regards (2), the implementation, the most common approaches are: Closed form, analytic models: the most basic of these are the Black–Scholes formula and the Black model. Lattice models (Trees): Binomial options pricing model; Trinomial tree; Monte Carlo methods for option pricing
The growth of low-cost carriers offering restriction-free pricing, "name your own price" channels, and auctions all stimulated this interest in applying science to the pricing side of the business. As the applications of scientific methods to these business problems expanded, the discipline of pricing science became more rigorous and ...