Business dates and calendars were introduced in Stata 12.
Order |
Have you ever wished that when you referred to the lag of trading date, you got the previous trading date rather than yesterday’s? Or if you referred to the lead of trading date, you got the next trading date and not tomorrow’s?
In Stata 12, L.trading_date can mean the previous trading date and F.trading_date can mean the next trading date. All you have to do is create the business calendar that describes your dates.
Stata provides lots of built-in date and time formats. It has dates and times (millisecond accuracy, leap-second adjusted or not), dates, weeks, months, quarter, half-years, and years. Now, joining those are user-defined business dates.
Stata’s built-in dates are known technically as %tc and %tC (datetimes), %td (regular dates), %tw (weekly dates), %tm (monthly dates), %tq (quarterly dates), %th (half-yearly dates), and %ty (yearly dates). Stata has all those built-in formats to make lag and lead operators operate as you would expect them to work, and to make data management easy.
The new format is known technically as %tb.
A business calendar is like an ordinary calendar with some dates crossed out. The crossed-out dates correspond to the dates on which the “business” is closed:
Business closed on crossed-out dates November 2011 | ||||||
Su | M | Tu | We | T | F | Sa |
1 | 2 | 3 | 4 | X | ||
X | 7 | 8 | 9 | 10 | 11 | X |
X | 14 | 15 | 16 | 17 | 18 | 19 |
X | 21 | 22 | 23 | X | 25 | X |
X | 28 | 29 | 30 |
With a business date, yesterday is the last day the business was open, and tomorrow is the next day the business will be open.
Consider date = 25nov2011.
Then, if date is a regular %td date variable,
yesterday = date - 1 = 24nov2011 tomorrow = date + 1 = 26nov2011
If date is a %tb date variable,
yesterday = date - 1 = 23nov2011 tomorrow = date + 1 = 28nov2011
If variable trading_date is a regular %td variable, then L.trading_date really is yesterday and F.trading_date really is tomorrow. But if trading_date has an appropriately defined %tb format, L.trading_date is the previous trading date and F.trading_date is the next trading date.
To make a business calendar, you create a file named calname.stbcal, such as nyse.stbcal. After that, Stata deeply understands the new format %tbnyse.
Business dates work just like regular dates; it is just that some dates are crossed out.
Explore more time-series capabilities in Stata.
For a complete list of what’s new in time-series analysis, click here.
See New in Stata 18 to learn about what was added in Stata 18.
Learn
Free webinars
NetCourses
Classroom and web training
Organizational training
Video tutorials
Third-party courses
Web resources
Teaching with Stata
© Copyright 1996–2024 StataCorp LLC. All rights reserved.
×
We use cookies to ensure that we give you the best experience on our website—to enhance site navigation, to analyze usage, and to assist in our marketing efforts. By continuing to use our site, you consent to the storing of cookies on your device and agree to delivery of content, including web fonts and JavaScript, from third party web services.
Cookie Settings
Last updated: 16 November 2022
StataCorp LLC (StataCorp) strives to provide our users with exceptional products and services. To do so, we must collect personal information from you. This information is necessary to conduct business with our existing and potential customers. We collect and use this information only where we may legally do so. This policy explains what personal information we collect, how we use it, and what rights you have to that information.
These cookies are essential for our website to function and do not store any personally identifiable information. These cookies cannot be disabled.
This website uses cookies to provide you with a better user experience. A cookie is a small piece of data our website stores on a site visitor's hard drive and accesses each time you visit so we can improve your access to our site, better understand how you use our site, and serve you content that may be of interest to you. For instance, we store a cookie when you log in to our shopping cart so that we can maintain your shopping cart should you not complete checkout. These cookies do not directly store your personal information, but they do support the ability to uniquely identify your internet browser and device.
Please note: Clearing your browser cookies at any time will undo preferences saved here. The option selected here will apply only to the device you are currently using.