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14 changes: 7 additions & 7 deletions lectures/markov_asset.md
Original file line number Diff line number Diff line change
Expand Up @@ -289,12 +289,12 @@ where

1. $\{X_t\}$ is a finite Markov chain with state space $S$ and
transition probabilities

$$
P(x, y) := \mathbb P \{ X_{t+1} = y \,|\, X_t = x \}
\qquad (x, y \in S)
$$

1. $g$ is a given function on $S$ taking nonnegative values

You can think of
Expand Down Expand Up @@ -455,7 +455,7 @@ Lucas considered an abstract pure exchange economy with these features:
* a single *tree* that each period yields *fruit* that equals the total amount of consumption available to the economy
* a competitive market in *shares* in the tree that entitles their owners to corresponding shares of the *dividend* stream, i.e., the *fruit* stream, yielded by the tree

* a representative consumer who in a competitive equilibrium
* a representative consumer who in a competitive equilibrium

* consumes the economy's entire endowment each period
* owns 100 percent of the shares in the tree
Expand Down Expand Up @@ -627,7 +627,7 @@ for γ in γs:
v = tree_price(ap)
ax.plot(states, v, lw=2, alpha=0.6, label=rf"$\gamma = {γ}$")

ax.set_title('Price-divdend ratio as a function of the state')
ax.set_title('Price-dividend ratio as a function of the state')
ax.set_ylabel("price-dividend ratio")
ax.set_xlabel("state")
ax.legend(loc='upper right')
Expand Down Expand Up @@ -964,7 +964,7 @@ Do the same for
```{exercise}
:label: ma_ex3

Let's consider finite horizon call options, which are more common than
Let's consider finite horizon call options, which are more common than
infinite horizon ones.

Finite horizon options obey functional equations closely related to {eq}`FEoption0`.
Expand Down Expand Up @@ -1127,8 +1127,8 @@ plt.show()

Not surprisingly, options with larger $k$ are worth more.

This is because an owner has a longer horizon over which
This is because an owner has a longer horizon over which
the option can be exercised.

```{solution-end}
```
```