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-rw-r--r--python/notebooks/swaption_risk.ipynb44
1 files changed, 37 insertions, 7 deletions
diff --git a/python/notebooks/swaption_risk.ipynb b/python/notebooks/swaption_risk.ipynb
index 05c447b8..bb9cb4c2 100644
--- a/python/notebooks/swaption_risk.ipynb
+++ b/python/notebooks/swaption_risk.ipynb
@@ -6,6 +6,17 @@
"metadata": {},
"outputs": [],
"source": [
+ "# better formatting for large floats\n",
+ "import pandas as pd\n",
+ "pd.options.display.float_format = \"{:,.2f}\".format"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
"from risk.swaptions import get_swaption_portfolio\n",
"import datetime\n",
"from db import dbconn\n",
@@ -20,7 +31,7 @@
"metadata": {},
"outputs": [],
"source": [
- "portf = get_swaption_portfolio(datetime.date.today(), conn)\n",
+ "portf = get_swaption_portfolio(datetime.date.today(), conn, source_list=['GS'])\n",
"portf"
]
},
@@ -30,9 +41,19 @@
"metadata": {},
"outputs": [],
"source": [
- "df = portf._todf()\n",
- "df_ig=df.loc[df.Index == \"IG31 5yr\",[\"Delta\", \"Notional\"]]\n",
- "(df_ig.Notional * df_ig.Delta).sum()"
+ "positions = df.set_index(\"Index\")[[\"Delta\", \"Notional\"]].prod(axis=1).groupby(level=\"Index\").sum()\n",
+ "positions.name = 'current_delta'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "hedges = pd.read_sql_query(\"SELECT security_desc, notional FROM list_cds_positions_by_strat(%s) \"\n",
+ " \"WHERE folder in ('IGOPTDEL', 'HYOPTDEL')\",\n",
+ " conn, params=(datetime.date.today(),))"
]
},
{
@@ -41,8 +62,17 @@
"metadata": {},
"outputs": [],
"source": [
- "df_hy=df.loc[df.Index == \"HY31 5yr\", [\"Delta\", \"Notional\"]]\n",
- "(df_hy.Notional * df_hy.Delta).sum()"
+ "def f(s):\n",
+ " l = s.split(\" \")\n",
+ " return f\"{l[1]}{l[3][1:]} {l[4].lower()}r\"\n",
+ "\n",
+ "hedges[\"Index\"] = hedges[\"security_desc\"].apply(f)\n",
+ "hedges = hedges.rename(columns={\"notional\": \"current hedge\"})\n",
+ "hedges = hedges.set_index(\"Index\")[\"current hedge\"]\n",
+ "\n",
+ "risk = pd.concat([hedges, positions], axis=1)\n",
+ "risk['net_delta'] = risk[\"current hedge\"] + risk.current_delta\n",
+ "risk"
]
},
{
@@ -69,7 +99,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.2"
+ "version": "3.7.3"
}
},
"nbformat": 4,