I am currently working on my Master Thesis and thus I analyze company financials over the years 2008 to 2017.
Unfortunately, I am struggling with companies having gaps in their reported data.
1st Company Example
Code:
| ID Companyname Year Sales | |-----------------------------------------------------------------------| 27. | 5 BETA SYSTEMS SOFTWARE AKTIENGESELLSCHAFT 2010 47642000 | 28. | 5 BETA SYSTEMS SOFTWARE AKTIENGESELLSCHAFT 2012 41569000 | 29. | 5 BETA SYSTEMS SOFTWARE AKTIENGESELLSCHAFT 2013 37675000 | 30. | 5 BETA SYSTEMS SOFTWARE AKTIENGESELLSCHAFT 2014 33806000 | 31. | 5 BETA SYSTEMS SOFTWARE AKTIENGESELLSCHAFT 2015 41554000 | |-----------------------------------------------------------------------| 32. | 5 BETA SYSTEMS SOFTWARE AKTIENGESELLSCHAFT 2016 46360000 | 33. | 5 BETA SYSTEMS SOFTWARE AKTIENGESELLSCHAFT 2017 49814000 |
Code:
| ID Company~e Year Sales | |----------------------------------------| 116. | 23 ARTNET AG 2008 12218502 | 117. | 23 ARTNET AG 2010 13672581 | 118. | 23 ARTNET AG 2011 13340666 | 119. | 23 ARTNET AG 2012 13487549 | 120. | 23 ARTNET AG 2013 12968457 | |----------------------------------------| 121. | 23 ARTNET AG 2014 13906644 | 122. | 23 ARTNET AG 2017 18426024 |
For the second company (ARTNET), I want the final dataset to include the data from 2010 to 2014 (five years of data), without the years before and after the gaps.
As of now I really don't know what to do. The only "solution" I currently have is to drop all companies with at least one gap. This however would exclude viable data which could be used if I had the solution described above.
I would really appreciate your help! Thanks a lot !
Greetings,
George
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