Dear Nick,
thank you very much for your reply.
I tried to curry out your instructions, however I have still some
problems with question 1 and 2:
1)I have the time in this format: 63000 and i want to construct a
"timedate" variable, which contains both the data and the time.
You told me that hms works only with egen, so I tired to do this:
g hours=int(time/10000)
g minutes=int((time-hours*10000)/100)
g seconds=int(time-hours*10000-minutes*100)
egen newtime=hms(hours, minutes, seconds)
format newtime%tc
But it doesn't work and the solution that you suggested me (i.e. gen
long time_in_sec = 3600 * hours + 60 * minutes + seconds) is not
appropriate because it changes time in seconds.
2) I have two types of prices: price1 and price2. I would like to
create a variable which takes the difference between the lowest value
of price1 and the highest value of price2 for each data and time.
You suggested me:
bysort date time (price1) : gen diff = price1[1]
bysort date time (price2) : replace diff = price2[_N] - diff
However, after implementing your solution, I receive (for a specific
time and data) this result:
bidprice askprice diff
3. . 100.15 .
4. . 100.17 .
5. 100.09 . .
6. 100.1 . .
What I would like to have as diff would be (100.15-100.1)=0.05
instead I have all missing values.
Could you please help me to solve these problems?
Thank you very much.
Best,
Katia
2008/7/14 [email protected] <[email protected]>:
> .
>
> Katia Bobulova asked three questions. My answers below.
>
> Nick
> [email protected]
>
> I have some problems in managing my dataset. I have a dataset with
> high frequency data, with observations about time, date, price,
> quantity and a code for the type of security.
>
> Question 1
> ==========
> I have the time in this format: 63000 and i want to construct a
> "timedate" variable, which contains both the data and the time.
>
> First af all I tried to modify the format of the time typing:
>
> g hours=int(time/10000)
> g minutes=int((time-hours*10000)/100)
> g seconds=int(time-hours*10000-minutes*100)
> g newtime=hms(hours, minutes, seconds)
> format newtime%tc
>
> However, after typing hms() I receive this message:
> Unknown function hms()
> r(133);
>
> The next step would be typing something like:
>
> gen double timedate=date*24*60*60*1000+time
> format timedate %tcNN/DD/CCYY_HH:MM:SS
>
> Answer 1
> ========
>
> -hms()- is an -egen- function written by Kit Baum and is included in the
> -egenmore- package from SSC. It will _only_ work with -egen-, not with
> -generate-.
>
> But you don't need it. You did almost all the work yourself.
>
> Assuming that e.g. 63000 is 06:30:00 then given your variables -hours-,
> -minutes-, -seconds-,
>
> gen long time_in_sec = 3600 * hours + 60 * minutes + seconds
>
> Question 2
> ==========
>
> I have two types of prices: price1 and price2. I would like to
> create a variable which takes the difference between the lowest value
> of price1 and the highest value of price2 for each data and time.
>
> First of all I sorted my dataset:
>
> sort date time price1 price2
>
> then I generated the new variable:
>
> gen price3=(price1[_n]-price2[_N] & date==(26feb2008) & time==63000
>
> But as a result I have all missing values, furthermore I have to do
> this for each date and time, so i was wondering if there is a way to
> instruct Stata to create this new variable for each time and data.
>
> Answer 2
> ========
>
> I don't understand how you reached your solution, nor why it produces
> missing values.
> I don't think your -sort- order guarantees what you want, but it looks
> quite wrong any way.
>
> This is likely to be closer to where you want to be.
>
> bysort date time (price1) : gen diff = price1[1]
> bysort date time (price2) : replace diff = price2[_N] - diff
>
>
> Question 3
> ==========
>
> I have to divide my variable time in equal time intervals. For
> example, i have observations at 14:41:38 and 15:28:32 and I would like
> to have observations at precise time intervals, for example each
> 5-minute, i.e. at 14:40:00, 14:45:00 and so on. Any idea on how to do
> this?
>
> Answer 3
> ========
>
> Create another dataset with regularly spaced observations and then
> -merge-.
>
>
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