quotescleanup: Cleans quote data

In highfrequency: Tools for Highfrequency Data Analysis

Description

This is a wrapper function for cleaning the quote data of all stocks in "ticker" over the interval [from,to]. The result is saved in the folder datadestination.

In case you supply the argument "rawqdata", the on-disk functionality is ignored and the function returns a list with the cleaned quotes as xts object (see examples).

The following cleaning functions are performed sequentially: noZeroQuotes, selectExchange, rmLargeSpread, mergeQuotesSameTimestamp, rmOutliers.

Usage

quotesCleanup(from,to,datasource,datadestination,ticker,exchanges,
              qdataraw,report,selection,maxi,window,type,
              rmoutliersmaxi,...)

Arguments

from	character indicating first date to clean, e.g. "2008-01-30".
to	character indicating last date to clean, e.g. "2008-01-31".
datasource	character indicating the folder in which the original data is stored.
datadestination	character indicating the folder in which the cleaned data is stored.
ticker	vector of tickers for which the data should be cleaned, e.g. ticker = c("AAPL","AIG")

.

exchanges	vector of stock exchange symbols for all tickers in vector "ticker". It thus should have the same length as the vector ticker. Only data from one exchanges will be retained for each stock respectively, e.g. exchanges = c("T","N"). The possible exchange symbols are: A: AMEX N: NYSE B: Boston P: Arca C: NSX T/Q: NASDAQ D: NASD ADF and TRF X: Philadelphia I: ISE M: Chicago W: CBOE Z: BATS
qdataraw	xts object containing (ONE day and for ONE stock only) raw quote data. This argument is NULL by default. Enabling it means the arguments from, to, datasource and datadestination will be ignored. (only advisable for small chunks of data)
report	boolean and TRUE by default. In case it is true the function returns (also) a vector indicating how many quotes remained after each cleaning step.
selection	argument to be passed on to the cleaning routine mergeQuotesSameTimestamp. The default is "median".
maxi	argument to be passed on to the cleaning routine rmLargeSpread.
window	argument to be passed on to the cleaning routine rmOutliers.
type	argument to be passed on to the cleaning routine rmOutliers.
rmoutliersmaxi	argument to be passed on to the cleaning routine rmOutliers.
...	additional arguments.

Value

For each day an xts object is saved into the folder of that date, containing the cleaned data. This procedure is performed for each stock in "ticker". The function returns a vector indicating how many quotes remained after each cleaning step.

In case you supply the argument "rawqdata", the on-disk functionality is ignored and the function returns a list with the cleaned quotes as xts object (see examples).

Author(s)

Jonathan Cornelissen and Kris Boudt

References

Barndorff-Nielsen, O. E., P. R. Hansen, A. Lunde, and N. Shephard (2009). Realized kernels in practice: Trades and quotes. Econometrics Journal 12, C1-C32.

Brownlees, C.T. and Gallo, G.M. (2006). Financial econometric analysis at ultra-high frequency: Data handling concerns. Computational Statistics & Data Analysis, 51, pages 2232-2245.

Falkenberry, T.N. (2002). High frequency data filtering. Unpublished technical report.

Examples

#Consider you have raw quote data for 1 stock for 1 day 
#data("sample_qdataraw");
#head(sample_qdataraw);
#dim(sample_qdataraw);
#qdata_aftercleaning = quotesCleanup(qdataraw=sample_qdataraw,exchanges="N");
#qdata_aftercleaning$report; 
#barplot(qdata_aftercleaning$report);
#dim(qdata_aftercleaning$qdata);

#In case you have more data it is advised to use the on-disk functionality
#via "from","to","datasource",etc. arguments

Example output

Loading required package: xts
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

highfrequency documentation built on May 2, 2019, 6:09 p.m.