Capturing long and short run performance Flashcards
What is shor-run event studies ?
Short-run performance examines how the market reacts to an MA announcement over a brief event window
(-2, +2 days)
What is event studies analysis
Evaluates the markets efficiency in pricing the MAs potential impact
What steps are involved in a short run event study analysis
1 - define your event window
2 - estimate expected returns using models such as: Market model and market adjusted model
3 - Compute cumulative abnormal returns CARs
Advantages
- Quickly identifies whether the MA creates or destroys shareholder value
- Reflects market efficiency in incorporating new information
Litrature
Fama et al (69) - Introduced event study methodologies, demonstrating how stock prices adjust to new information
Brown and Warner (85) - Highlighted the robustness of event studies, focusing on the use of CARs in short windows to minimize confounding effects
Fuller et al (02) - Emphasized the importance of accurate benchmarks for expected returns
What are some applications of short run analysis
- Assess the type of synergy anticipated by the market
- To compare reactions across different payment methods (cash or stock)
capturing Long-run performance
Long-run performance analyzes the sustainability of MA benefits, often 1-5 years
What are the 2 methodologies used in LRPA
- Buy and hold abnormal returns
- Calendar-time portfolio regression
What is buy and hold abnormal returns
- They measure the cumulative performance of the MA over a specified period of time
What are some advantages of using BHARs as a way to capture long-run performance
Intuitive measure - Reflects the actual investor experience by showing cumulative returns over time
Benchmarking - Allows for comparisons against various benchmarks, such as industry indices or peer groups
What are some disadvantages of using BHARs as a way to capture long-run performance
Statistical issues - BHARs are often right skewed meaning that positive returns can grow indefinitely, while losses are capped at 100%
Event overlap - In studies involving multiple events, BHARs may overstate or understate cumulative effects due to event overlap
What is some literature behind BHARs
Barber and Lyon (1997) - discussed the use of BHARs in detecting long-run abnormal returns, noting statistical challenges like skewness
Lyon et al (1999) - Improved stat tests for long-run BHARs proposing methods to address non-normal return distributions
What is calendar-time portfolio regressions
Portfolio of MA firms and regress their returns on market factors
What are some advantages on CTPRs
Robust statistical framework - Based on regression models, CTPR provides more reliable estimates of long run abnormal returns
Accounts for overlap - Handles overlapping MA events more effectively that BHARs by aggregating them into portfolios
What are some disadvantages of CTPRs
Complexity - Requires advanced econometric knowledge and more computer effort
Equal weighting of time periods - Weighs each calendar period equally, which may under represent the significance of periods with many events