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The Impact of CEO-related Events on Price Returns Thanawan Chaiwatana Peerapat Khayim Brian Bunn Ned Baramov Georgi Ivanov
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Agenda Objective Methodology Results Conclusion And Further Steps Q&A
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Objective Examine the impact of CEO-related events on company returns Establish whether there are any visible trends Isolate and quantify the effect of these events on price performance
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Methodology Data Collection Query the Dow Jones database Screen for events such as Retired, Fired, Died and Resigned Data Extraction Examine a 24-month window Segment the results for each event by MCAP
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Methodology Contd. Filter Data Calculate Excess Returns Examine results on a quarterly cumulative basis Perform the same analysis on a month-by-month basis to focus in greater detail on notable trends
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Three-month timeframe analysis -Results consistent with the expectations that Firing is good news and Retire & Resign are bad news -This seems to be the case for the first 3 months after the event and diminishes with time -Further analysis was necessary that focused on that timeframe. Results
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Monthly Analysis – Aggregate Excess Returns Results (Continued)
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Conclusion And Further Steps It is hard to base a trading strategy on our findings Analyze data in greater detail – i.e. day-to- day basis Regress the event variable along with other micro/macro factors to quantify the impact on returns Determine the significance of other factors – time CEO has been with the company, industry specifics, power structure of company etc.
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Q & A
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