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Python for Finance by Yuxing Yan

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Chapter 11. Monte Carlo Simulation and Options

In finance, we study the trade-off between risk and return. The common definition of risk is uncertainty. For example, when evaluating a potential profitable project, we have to predict many factors in the life of the project, such as the annual sales, price of the final product, prices of raw materials, salary increase of employees, inflation rate, cost of borrowing, cost of new equity, and economic status. For those cases, the Monte Carlo simulation could be used to simulate many possible future outcomes, events, and their various combinations. In this chapter, we focus on the applications of the Monte Carlo simulation to price various options.

In this chapter, we will cover the following topics: ...

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