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Teaching NotesΒΆ

Translog Production and Cost Functions

In this post, I'll carefully explain the derivation of cost function from a CES production function, as well as the derivation of translog (transcendental logarithmic) production and cost functions.

flowchart TB
    subgraph Production
    A[Production Function] -. approximation .-> D(Translog Production Function)
    subgraph Cost
    B[Cost Function] -. approximation .-> C(Translog Cost Function)
    A == Conversion via Duality ==> B

Before I start, the graph above illustrate the relations. Specifically, we can derive the cost function from a CES production function via the duality theorem. Translog production and translog cost functions are approximations to the production and corresponding cost function, respectively, via Taylor expansion.

Call Option Value from Two Approaches

Suppose today the stock price is \(S\) and in one year time, the stock price could be either \(S_1\) or \(S_2\). You hold an European call option on this stock with an exercise price of \(X=S\), where \(S_1<X<S_2\) for simplicity. So you'll exercise the call when the stock price turns out to be \(S_2\) and leave it unexercised if \(S_1\).