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@shabbychef
Created January 4, 2013 01:38
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month of year effects in SPY since 1950, lack thereof.
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{
"metadata": {
"name": "MOYeffect"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Month of year effect?\n",
"\n",
"Is there a month of year effect in SPY?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%load_ext rmagic"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R \n",
"# get the required packages, and load them.\n",
"safe.install <- function(pkg.name,do.load=FALSE) {\n",
" if (! length(which(.packages(all.available=TRUE) %in% pkg.name))) {\n",
" install.packages(pkg.name,repos=\"http://cran.cnr.berkeley.edu/\")\n",
" }\n",
" if (do.load) {\n",
" library(pkg.name,character.only=TRUE)\n",
" }\n",
"}\n",
"sapply(c(\"quantmod\",\"plyr\"),safe.install,do.load=TRUE)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 29
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R\n",
"# first load the data\n",
"getSymbols('^GSPC', from='1950-01-01')\n",
"G <- monthlyReturn(Cl(GSPC))\n",
"G$monnum <- .indexmon(G)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R -w 1000 -h 700\n",
"# now look for a 'month of year effect'\n",
"par(mfrow=c(3,4))\n",
"plotEqCurve <- function(x,...) {\n",
" plot(exp(cumsum(x)),...)\n",
"}\n",
"ddply(as.data.frame(G), .(monnum), function(xd) { plotEqCurve(xd$monthly.returns,xlab=month.name[xd$monnum[1] + 1],type=\"l\") })"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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f8OasM+AJLhNle/2YYpAvzNf5nm+ckA8sJ4afCokjSCI5APdWitaQeT05/mQu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\nAKboDIYLYIrOYLgApugMhgtgis5guACm6AyGC2CKzmC4AKboDIYLCLW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lflm5oT/jvFkm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}
],
"prompt_number": 31
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R -w 700 -h 500\n",
"# now use ANOVA to see if these are significant:\n",
"mret.aov <- aov(monthly.returns ~ monnum,data=as.data.frame(G))\n",
"print(summary(mret.aov))\n",
"#print(model.tables(mret.aov,\"means\"),digits=3)\n",
"boxplot(monthly.returns ~ monnum,data = as.data.frame(G))\n",
"abline(h=0,col=\"green\",lty=\"dashed\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"text": [
" Df Sum Sq Mean Sq F value Pr(>F)\n",
"monnum 1 0.0007 0.0007086 0.403 0.526\n",
"Residuals 754 1.3273 0.0017604 \n"
]
},
{
"output_type": "display_data",
"png": 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I5ZwJd4SErsDAwK5du5rYMTU1tW7dune6l8ViadiwoYnlADi0oUOHyo5QDgTf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\nmjSpUqVKkyZNNm3aJDdMscTERD8/P9k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}
],
"prompt_number": 32
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"--------\n",
"## recap ##\n",
"\n",
"So ANOVA finds no effect, while a plot of monthly returns looks promising. Why the difference? SPY has had a significant Sharpe Ratio since 1950, so the baseline mean return is statistically significant. This will show up in a plot of the p-values of the monthly SRs under the null, as below."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R -w 700 -h 500\n",
"# look at Sharpe Ratio\n",
"\n",
"comp.sr <- function(x, ...) {\n",
" sr <- mean(x, ...) / sd(x, ...)\n",
" return(sr);\n",
"}\n",
"aa <- ddply(as.data.frame(G), .(monnum), summarise, sr.pa = sqrt(12) * comp.sr(monthly.returns, na.rm=TRUE))\n",
"bb <- ddply(as.data.frame(G), .(monnum), summarise, p.val =\n",
" t.test(monthly.returns, alternative=\"greater\")$p.value)\n",
"plot(ecdf(bb$p.val))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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}
],
"prompt_number": 36
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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