Example 10 hotfix

examples/10_DerivPortOpt_ParamUncertainty.ipynb

@@ -400,7 +400,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Copy constraints from https://ssrn.com/abstract=4217884.\n",
+    "# Copy constraints from https://ssrn.com/abstract=4217884\n",
     "v = np.hstack((np.ones(I), [put_90, put_95, put_atmf, call_atmf, call_105, call_110]))\n",
     "G = np.vstack((np.eye(len(v)), -np.eye(len(v))))\n",
     "options_bounds = 0.5 * np.ones(6)\n",
@@ -497,8 +497,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Exposure Stacking\n",
-    "We implement the new Exposure Stacking method and test it against out-of-sample means and variances. As can be seen, Exposure Stacking has potential for better risk-adjusted returns than the traditional resampling method."
+    "# Exposure Stacking"
    ]
   },
   {
@@ -507,7 +506,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Left in order to align with the walkthrough video https://youtu.be/DxXYn5SX3LA.\n",
+    "# Left in order to align with the walkthrough video https://youtu.be/DxXYn5SX3LA\n",
     "# In practice, we recommend that you use the ft.exposure_stacking function.\n",
     "def exposure_stacking(L, frontier, num_samples):\n",
     "    \"\"\"Computes the L-fold Exposure Stacking.\n",