Corporate Events Analysis: An Examination of the PSE Market Calendar
Lenard Paul M. Sumalde
2014 – 85133
Research in Social Science (SSR 192)
Question: “How many events on a given day?”
Parameters / Scope:
This study would be focusing on “Official Corporate Events of listed
Securities in Philippine Stock Exchange”. By definition, these are the events that are critical to investing public in making their investment decisions. These includes events that are being held physically (Stockholders Meeting and Analyst Briefing, etc.), and those events that marks a date which greatly affects investment decisions (Cash Ex-Date, SRO Ex-Date and etc.) For simplicity, all of these will simply be referred as “Event(s)”.
This study aims to analyze basic statistics of the PSE Market Calendar. This
includes calculating for the Mean, Median, Mode, Mean Average Deviation (MAD), Variance, Standard Deviation and etc. with respect to various data dimension. Examining the data in this approach would enable us to answer the basic question “How many events on a given day?” and even more precise questions such as: “How many Analyst-Briefing was held?”, “What is the average number of event”, “Which is the most common type of event that is being held?” and etc.
For our purpose, data would be analyzed in three perspective: By event type, By Sector, and finally By Day of the Week.
Analysis & Results
2014 May 12, 11 events
Ana l yst Breifing, 15%
Stock Hol der's Meeting, 49%
Ca s h Ex-Date, 28%
I. Analysis per Event Type
There are total of 387 "Events" for January to July 2014. Of which, 105 (27.1% of total) occurred on the month of May, the greatest number of event for the 7-month period. The date which had the most count of events was also from the month of May, specifically, May 12, 2014. This can be easily observed on the first graph
Most of the "Events" that were held were Stockholders Meetings (SMD) which accounts for 49% for the period being examined. This is followed by Cash Ex-Date (CD) and Analyst Briefing which accounts for 28% and 15% of the total respectively. With just these three combined, they already account for 92% of the total events for the period. The mean number of "Events" per month is 55, while the mean number of “Event” daily would be 2 events (or 2.13 to be exact). This was computed by dividing total Events (387 Events) by the number of days excluding Sundays (182 days). For our Median, the median number of event is 70, in the month of April. Since there are a lot of days where
no event occurred, the Mode is Zero. With these statistics given, it could be concluded the data set have a Negative (left) skew.
Now that we have discussed statistical
averages (Mean, Median & Mode), let
divided by Mean (2.13).
us now tackle variability statistics of our
data set. Mean...
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