Minor edits to Portfolio model
@@ -285,9 +285,10 @@ class PortfolioSolution(Solution):
vPfunc=None, RiskyShareFunc=None, vPPfunc=None,
mNrmMin=None, hNrm=None, MPCmin=None, MPCmax=None):
"""We implement three different ways to allow portfolio choice.
- The agent can choose
+ The agent can choose:
+
* any portfolio share ('continuous choice')
- * only a specified set of portfolio shares ('discrete choice')
+ * only a specified set of portfolio shares ('discrete shares'):
* With probability 1 (agent always gets to choose)
* With probability 0 < p < 1 (stochastic chance to choose)
@@ -298,8 +299,8 @@ class PortfolioSolution(Solution):
2. A true lognormal distribution
* The mean return and the standard deviation are specified
- In the discrete portfolio shares case, the user also must
- input a function that *draws* from the distribution in drawRiskyFunc
+ In the discrete shares case, the user also must input a function that draws
+ from the distribution in drawRiskyFunc
Other assumptions:
* distributions are time constant
