Event Studies Flashcards

1
Q

What is an event study?

A

A method to assess changes in stock or bond prices around specific events.

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2
Q

Give examples of events analyzed in event studies.

A

Earnings announcements, mergers, macroeconomic news, natural disasters, and bond auctions.

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3
Q

What are the two main goals of event studies?

A

To analyze the impact of events on security holder wealth and to test market efficiency.

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4
Q

Why is the announcement of an event often more important than the event itself?

A

Because market reactions typically occur when new information is first disclosed.

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5
Q

What does the Efficient Market Hypothesis (EMH) state?

A

Prices fully reflect all available relevant information.

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6
Q

What triggers price changes in an efficient market?

A

The arrival of new information.

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7
Q

Why are price changes unpredictable in an efficient market?

A

Because new information cannot be predicted in advance.

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8
Q

What are the three forms of EMH?

A

Weak form, semi-strong form and strong form.

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9
Q

What information is reflected in prices under the weak form of EMH?

A

All past price and volume data.

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10
Q

What additional information is reflected in prices under the semi-strong form of EMH?

A

All publicly available information.

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11
Q

What does the strong form of EMH imply about price efficiency?

A

Prices reflect all public and private information, including insider knowledge.

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12
Q

What is the first step in an event study?

A

Identify the event of interest and its timing.

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13
Q

What is a benchmark model in event studies?

A

A model used to calculate normal returns for comparison with actual returns.

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14
Q

What is the formula for abnormal returns (AR)?

A

Abnormal Return = Return - Normal Return

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15
Q

What is the difference between calendar time and event time?

A

Calendar time follows chronological order, while event time centers on the event date as t=0.

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16
Q

Why is accurate timing important in event studies?

A

To ensure precise analysis of price movements around the event.

17
Q

Name three methods for calculating normal returns.

A

Mean-adjusted, market-adjusted, and market model methods.

18
Q

What is the CAPM formula for normal returns?

A

Normal Returns = RiskFreeRate + Beta ( Market Risk Premium - RiskFreeRate), where Beta is the stock’s sensitivity to the market.

19
Q

How are abnormal returns aggregated across events?

A

By calculating the Average Abnormal Return (AAR) and Cumulative Abnormal Return (CAR).

20
Q

What does the Cumulative Abnormal Return (CAR) represent?

A

The sum of abnormal returns over a specified period.

21
Q

What is the null hypothesis in most event studies?

A

That abnormal returns are zero (H0: E(AR) = 0).

22
Q

How is the significance of abnormal returns tested?

A

Using a t-statistic compared against standard normal critical values.

23
Q

What is the significance level for a 95% confidence interval?

A

5%, with critical values of ±1.96 for a two-tailed test.

24
Q

Why is a cross-sectional estimator often used?

A

To calculate variance using all events on a specific day.

25
Q

What is event-induced variance?

A

Increased variance in returns around the event date.

26
Q

What issue arises from event clustering?

A

Cross-sectional correlation between returns of multiple events occurring in the same period.

27
Q

How can event clustering be addressed?

A

By aggregating daily returns into a portfolio or adjusting standard errors.

28
Q

Why is non-normality of returns problematic?

A

It violates assumptions for t-tests and can skew results, especially in small samples.

29
Q

What is cross-sectional heteroskedasticity?

A

Variation in return volatility across firms, potentially causing outliers.

30
Q

What are long-horizon event studies used to analyze?

A

Long-term price reactions, such as IPO performance over several years.

31
Q

What is the Buy-and-Hold Abnormal Return (BHAR) method?

A

A measure of long-term performance by comparing the return of a portfolio to a benchmark over a holding period.

32
Q

How does the Calendar-Time Portfolio approach work?

A

It regresses portfolio excess returns on risk factors to measure performance over time.

33
Q

What is a common finding about IPO performance in long-horizon studies?

A

IPOs often underperform in the long run.

34
Q

What is the market timing hypothesis for IPO underperformance?

A

Managers issue shares when they are overvalued, leading to subsequent corrections.

35
Q

What is an example of an event study on stock recommendations?

A

Testing stock price reactions to expert recommendations on a Dutch TV show.

36
Q

What event did a recent ECB bond purchase study examine?

A

The impact of monthly bond purchases on German treasury bond prices.

37
Q

What is the CAR for a single firm over an event window?

A

The sum of its daily abnormal returns within the window.

38
Q

How do researchers control for survivorship bias in long-horizon studies?

A

By including delisted firms and correcting for sample selection effects.