Capturing long and short run performance Flashcards

1
Q

What is shor-run event studies ?

A

Short-run performance examines how the market reacts to an MA announcement over a brief event window

(-2, +2 days)

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2
Q

What is event studies analysis

A

Evaluates the markets efficiency in pricing the MAs potential impact

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3
Q

What steps are involved in a short run event study analysis

A

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

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4
Q

Advantages

A
  • Quickly identifies whether the MA creates or destroys shareholder value
  • Reflects market efficiency in incorporating new information
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5
Q

Litrature

A

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

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6
Q

What are some applications of short run analysis

A
  • Assess the type of synergy anticipated by the market
  • To compare reactions across different payment methods (cash or stock)
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7
Q

capturing Long-run performance

A

Long-run performance analyzes the sustainability of MA benefits, often 1-5 years

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8
Q

What are the 2 methodologies used in LRPA

A
  1. Buy and hold abnormal returns
  2. Calendar-time portfolio regression
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9
Q

What is buy and hold abnormal returns

A
  • They measure the cumulative performance of the MA over a specified period of time
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10
Q

What are some advantages of using BHARs as a way to capture long-run performance

A

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

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11
Q

What are some disadvantages of using BHARs as a way to capture long-run performance

A

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

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12
Q

What is some literature behind BHARs

A

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

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13
Q

What is calendar-time portfolio regressions

A

Portfolio of MA firms and regress their returns on market factors

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14
Q

What are some advantages on CTPRs

A

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

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15
Q

What are some disadvantages of CTPRs

A

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

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16
Q

Literature of CTPRs

A

Healy et al (1992) - Found significant improvements in post merger operating cash flows relative to industry peers

Andrade et al (2001) Highlighted long-term operating performance changes after MAs

17
Q

Literature comparing long and short run analysis

A

Fama (1998) - Suggested that while short rin studies indicate market efficiency, long run studies often face challenges from confounding factors and methodological bias

Loughran and Vijh (1997) - Demonstrated contrasting results for short-run and long-run MA performance, particularly highlighting the poor long-term performance of stock financed deals