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lectures/commod_price.md

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@@ -32,7 +32,7 @@ We will solve an equation where the price function is the unknown.
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This is harder than solving an equation for an unknown number, or vector.
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The lecture will discuss one way to solve a *functional equation* (the equation where the unknown object is a function).
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The lecture will discuss one way to solve a [functional equation](https://en.wikipedia.org/wiki/Functional_equation) (an equation where the unknown object is a function).
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For this lecture we need the `yfinance` library.
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The harvest of the commodity at time $t$ is $Z_t$.
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We assume that the sequence $\{ Z_t \}_{t \geq 1}$ is {ref}`IID <iid-theorem>` with common density function $\phi$, where $\phi$ is nonnegative.
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We assume that the sequence $\{ Z_t \}_{t \geq 1}$ is IID with common density function $\phi$, where $\phi$ is nonnegative.
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Speculators can store the commodity between periods, with $I_t$ units
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purchased in the current period yielding $\alpha I_t$ units in the next.
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In general, $\alpha$ is a factor. Here $\alpha \in (0,1)$ is a depreciation rate for the commodity.
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Here the parameter $\alpha \in (0,1)$ is a depreciation rate for the commodity.
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For simplicity, the risk free interest rate is taken to be
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zero, so expected profit on purchasing $I_t$ units is
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Our path of attack will be to seek a system of prices that depend only on the
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current state.
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(Our solution method involves using an [ansatz](https://en.wikipedia.org/wiki/Ansatz), which is an educated guess --- in this case for the price function.)
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In other words, we take a function $p$ on $S$ and set $p_t = p(X_t)$ for every $t$.
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Prices and quantities then follow
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More precisely, we seek a $p$ such that [](eq:arbi) and [](eq:pmco) hold for
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the corresponding system [](eq:eosy).
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To this end, we apply the idea of [**ansatz**](https://en.wikipedia.org/wiki/Ansatz) here by supposing that there exists a function $p^*$ on $S$
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satisfying
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$$
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p^*(x) = \max

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