The regulatory process of merger control
The concept and essence of merger control, its features and purpose. Description of problem related to the application of the legislation in the field of competition. Assessing the regulation of mergers, the reasons for the lack of quality examinations.
Рубрика | Маркетинг, реклама и торговля |
Вид | курсовая работа |
Язык | английский |
Дата добавления | 21.06.2016 |
Размер файла | 1,2 M |
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Table 1
Comparison Criteria for Binary Choice Models Estimated
Criteria |
Probit |
Logit |
|
AIC |
57,974 |
57,327 |
|
BIC |
69,145 |
68,498 |
|
Log-likelihood |
-23,987 |
-23,663 |
Figure 1. ROC-curve for probit
Figure 2. ROC-curve for logit
Appendix 6
Example of the Script to Conduct an Event Study in R Software
#activate the package allowing downloading Russian stock market data from the Finam
library(rusquant)
#Function to use lagged variables
shift<-function(x,shift_by){
stopifnot(is.numeric(shift_by))
stopifnot(is.numeric(x))
if (length(shift_by)>1)
return(sapply(shift_by,shift, x=x))
out<-NULL
abs_shift_by=abs(shift_by)
if (shift_by > 0 )
out<-c(tail(x,-abs_shift_by),rep(NA,abs_shift_by))
else if (shift_by < 0 )
out<-c(rep(NA,abs_shift_by), head(x,-abs_shift_by))
else
out<-x
out
}
#Download quotation of “Megafon” to estimate beta
getSymbols(Symbols="MFON", from="2013-05-10", to="2013-11-26", src="Finam", period="day")
#Transform stock prices into log-returns and set them as time-series data
MFON.lr<-diff(log(MFON[,4]))
MFON.lr<-ts(MFON.lr)
#To do the same for the MICEX Index
MICEX.lr<-diff(log(MICEX[,4]))
MICEX.lr<-ts(MICEX.lr)
#Estimate consistent beta
lm1=lm(MFON.lr~MICEX.lr)
lm2=lm(MFON.lr~shift(MICEX.lr,-1))
lm3=lm(MFON.lr~shift(MICEX.lr,+1))
cor=acf(MICEX.lr, na.action=na.pass,plot=F)$acf[2] #extract the first-order autocorrelation coefficient
beta=(coef(lm1)[2]+coef(lm2)[2]+coef(lm3)[2])/(1+2*cor)
#Additional variables indicating the length of time-series
n=length(MFON.lr)
nn=length(MICEX.lr)
#Estimate consistent alpha
a=mean(MFON.lr[2:(n-1)], na.rm=T)-beta*mean(MICEX.lr [2:(nn-1)], na.rm=T)
#Obtain quotations for the short event window
getSymbols(Symbols="MFON", from="2014-01-08", to="2014-01-22", src="Finam", period="day")
MFON.lr<-diff(log(MFON[,4]))
MFON.lr<-ts(MFON.lr)
getSymbols(Symbols="MICEX", from="2014-01-08", to="2014-01-22", src="Finam", period="day")
MICEX.lr<-diff(log(MICEX[,4]))
MICEX.lr<-ts(MICEX.lr)
#Calculate the abnormal returns
ar1=MFON.lr-a-beta*MICEX.lr
#Calculate the cumulative abnormal returns
car1=sum(ar1,na.rm = TRUE)
#Create an array of CARs
CAR=c(car1,car2,car3,car4,car5,car6,…)
#Test of significance of CARs
t.test(CAR)
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