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Econometrics for Finance Session 1: Event Study Dr.Arnat Leemakdej

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  • Econometrics forFinanceSession 1: Event StudyDr.Arnat Leemakdej

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Outline of SessionOverview of Event Study Methodology.FFJR (1969)Event Study DesignAssignment#1

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • What is an Event Study ?An event is the public announcement of a (usually voluntary) corporate action, such as a merger, a security issue, an earnings announcement, a new investment announcement, a stock split, a new product launch etc.An event study is an econometric procedure for isolating the stock price impact of the event or its impact on firm value.Seminal papers: Fama et al.(69), Brown and Warner (1980, 85)Excellent Review Papers: MacKinlay, Journal of Economic Literature,1997.

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Seven Steps to an Event StudyEvent DefinitionDefine the event of interest and the period over which the impact on security prices will be examined -the event window.Firm Selection Criteriaavailability of data, characteristics of the data sample.Measuring Normal and Abnormal ReturnsActual return minus normal return (estimated return as if the event had not occurred).Estimation ProcedureEstimate model parameters over the estimation period, usually prior to the event.Testing ProceduresDefine Null Hypothesis, aggregation of the ARs, statistical tests.Empirical ResultsDiagnostics, sample size and any possible violations of assumptions.Interpretation and ConclusionsEconomic insights into the event and its impact on firm value, competing explanations etc.

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Event Study Methodology- some issues

    Exactly when did news of the event hit the market? (at 11:15 am, today, this week, this month)- event window The more precise the answer, the more powerful the event study analysisIs the announcement of the event partly anticipated? (rumors, leakage, prediction)The less the event is anticipated, the more powerful the event study analysis Is the event voluntary? (did managers have a choice) Voluntary events convey more of managers information about the firmDoes this event trigger future events? (merger may trigger antitrust complaint, initial tender offer may trigger competing bid, IPO may trigger SEO) Fewer the triggering events, the easier the interpretation of the results

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Event Study Procedure (1)

    (estimation window](event window](post-event window]

    Returns indexed in event time. Let 0 be event date, event window is T1 +1 to T2, (Length=T2-T1) Estimation window is T0 +1 to T1 (length= L1=T1-T0)Event window is set around the event day 0, e.g. (0,+1), (-1,0,1) since you can then study ARs around the announcement date.Post-event window is sometimes used as well.T0T10T2T3

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Event Study Procedure (2)Abnormal Return is defined as:

    Common candidate models for the normal return are the constant mean return model and the market model:

    Mean Return model typically uses nominal daily returns but with monthly data nominal and and real returns used.Could use multifactor models (like Fama French three factor model etc.)- but gains are limited.

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Event Study Procedure (3)Next, estimate the market model parameters for each firm in the sample during estimation period using a suitable market index.Next, using the estimated parameters of the market model, calculate for each firm period in the event window:

    H0: Event has no impact, AR jointly normal with mean=0 and variance=

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Event Study Procedure (4)Aggregating Abnormal Returns:

    Calculate the CARs over event window in two ways: Across firms and then over time (t1,t2):

    Across event window time (t1,t2) and over firms:

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • A pictorial depiction!TimeFirms

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

    AR1,(1

    AR1,(2

    ARi,(1

    ARi,(2

    ARN,(1

    ARN,(2

  • FFJR (1969)Original Paper for Event StudyImpact of Stock SplitThe Information IssuesImplications on Market Efficiency

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Event Study DesignWhat should be the length of Event WindowWhat should be the length of Comparison Period (Estimation Period)How to formulate Portfolio

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)

  • Assignment#1Read Brown & Warner (1985)What is the calendar effect and how can we avoid it?How to define the Event Date?What should be the impact on event study if the market already anticipates the news?

    B. Espen Eckbo, Tuck School at Dartmouth: EVENT STUDY TECHN. (16 slides)