rCharts + factorAnalytics | french/fama & frazzini/pedersen

factor data from

Betting against Beta factors used in Frazzini A and L.H. Pedersen (2013), “Betting Against Beta"

Fama and French, 1993
"Common Risk Factors in the Returns on Stocks and Bonds"
Journal of Financial Economics

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#combine factor data from Fama/French
#See Fama and French, 1993
#&quot;Common Risk Factors in the Returns on Stocks and Bonds&quot;
#Journal of Financial Economics

require(gdata)
require(PerformanceAnalytics)
require(factorAnalytics)
require(quantmod)
require(rCharts)

#read spreadsheet
babFactors &lt;- read.xls(
  &quot;https://www.econ.yale.edu/~af227/data/BAB%20factors%20-%20Frazzini%20and%20Pedersen.xlsx&quot;
  ,pattern = &quot;caldt&quot;
  ,blank.lines.skip = T
  ,stringsAsFactors = F
)

#convert spreadsheet data to R xts
#remove % with gsub, make numeric, and divide by 100
babFactors.xts &lt;- as.xts(
  do.call(cbind,
    lapply(
      babFactors[,-1]
      ,function(x){
        df&lt;-data.frame(as.numeric(
          gsub(
            x=x
            ,pattern=&quot;%&quot;
            ,replacement=&quot;&quot;
          )
        )/100)
        colnames(df) &lt;- colnames(x)
        return(df)
      }
    )
  )  #date is first column; will use in order.by
  ,order.by = as.Date(paste0(babFactors[,1],&quot;-01&quot;),format=&quot;%Y%m-%d&quot;)
)

#now read Fama/French Factor data
my.url=&quot;https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/ftp/F-F_Research_Data_Factors.zip&quot;
my.tempfile&lt;-paste(tempdir(),&quot;\\F-F_Research_Data_Factors.zip&quot;,sep=&quot;&quot;)
my.usefile&lt;-paste(tempdir(),&quot;\\F-F_Research_Data_Factors.txt&quot;,sep=&quot;&quot;)
download.file(my.url, my.tempfile, method=&quot;auto&quot;, 
              quiet = FALSE, mode = &quot;wb&quot;,cacheOK = TRUE)
unzip(my.tempfile,exdir=tempdir(),junkpath=TRUE)
#read space delimited text file extracted from zip
french_factors &lt;- read.table(file=my.usefile,
                              header = TRUE, sep = &quot;&quot;,
                              as.is = TRUE,
                              skip = 3, nrows=1052)

#get dates ready for xts index
datestoformat &lt;- rownames(french_factors)
datestoformat &lt;- paste(substr(datestoformat,1,4),
                       substr(datestoformat,5,7),&quot;01&quot;,sep=&quot;-&quot;)

#get xts for analysis
french_factors.xts &lt;- as.xts(french_factors,
                              order.by=as.Date(datestoformat))

french_factors.xts &lt;- french_factors.xts/100

factorsUS &lt;- na.omit(merge(french_factors.xts,babFactors.xts[,1]))
colnames(factorsUS)[5] &lt;- &quot;BAB&quot;

#not necessary but grab DJIA from FRED for sanity check
djia &lt;- to.monthly(getSymbols(&quot;DJIA&quot;,src=&quot;FRED&quot;,auto.assign=F))[,4]
colnames(djia) &lt;- &quot;DowJonesIndu&quot;
index(djia) &lt;- as.Date(index(djia))

returnsFactors &lt;- na.omit(
  merge(
    ROC(djia,n=1,type=&quot;discrete&quot;)
    ,factorsUS
  )
)

betasRolling &lt;- rollapply(
  returnsFactors[,-1]
  , width = 36  #3 year or 36 month rolling
  , by.column=FALSE
  , by=1
  , FUN = function(x){
    fit.time &lt;- fitTimeSeriesFactorModel(
      assets.names=colnames(x[,1]),
      factors.names=colnames(x[,-c(1,4)]),
      data=x,
      fit.method=&quot;OLS&quot;
    )
    return(fit.time$beta)
  }
)
colnames(betasRolling) &lt;- colnames(returnsFactors)[-c(1,2,5)]

require(reshape2)
betasRolling.melt &lt;- melt(data.frame(index(betasRolling),betasRolling),id.vars=1)
colnames(betasRolling.melt) &lt;- c(&quot;date&quot;, &quot;factor&quot;, &quot;beta&quot;)

nBeta &lt;- nPlot(
  beta ~ date,
  group = &quot;factor&quot;,
  data = na.omit(betasRolling.melt),
  type = &quot;multiBarChart&quot;, #lineChart #stackedAreaChart, #bar, area don't work with negative
  height = 400,
  width = 700
)
#nBeta$chart(stacked = TRUE, useInteractiveGuideline=TRUE)
nBeta$xAxis(tickFormat = 
              &quot;#!function(d) {return d3.time.format('%Y')(new Date(d * 24 * 60 * 60 * 1000));}!#&quot;
)
nBeta$yAxis(tickFormat =
              &quot;#!function(d) {return d3.format('0.2f')(d);}!#&quot;
)
#nBeta

nBeta$params$type = &quot;lineChart&quot;
nBeta

#chart.Correlation(returnsFactors)
</code></pre>
</div>
        </div>
      </div>
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Modified http://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js to a secure url

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Modified http://cdnjs.cloudflare.com/ajax/libs/prettify/188.0.0/prettify.js to a secure url

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