Event Study Methodologies - Basic

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  • เผยแพร่เมื่อ 15 พ.ย. 2024

ความคิดเห็น • 54

  • @TinaTina-xn9on
    @TinaTina-xn9on 2 ปีที่แล้ว +1

    You are brilliant. I wish if you make another episode but with more advanced methodology.

  • @lherath8658
    @lherath8658 ปีที่แล้ว +1

    Who is the founder of the Market Adjusted Model? Can I please have the link to a study?

  • @soussoukarim937
    @soussoukarim937 7 ปีที่แล้ว +3

    Excellent! A strong sense of detail. Thank you brother

  • @dammylola2421
    @dammylola2421 2 ปีที่แล้ว

    I can’t believe I am just watching this, excellent explanation

  • @kseven565
    @kseven565 7 ปีที่แล้ว +2

    Hi Pat, Excellent one, thanks! Are you able to share the spreadsheet as well?

  • @laurenfortes9511
    @laurenfortes9511 3 ปีที่แล้ว +2

    Can you tell me how you calculate the Cumulative AR from the AR's? Is this just summing up the AR's? I'd like to calculate the CAR.

  • @BuildThreadsNorway
    @BuildThreadsNorway 6 ปีที่แล้ว +3

    Excellent walkthrough!

  • @british021
    @british021 5 ปีที่แล้ว +2

    One of the best explanations I've found. Concise and effective!
    I have a question. I am analyzing indexes rather than the traditional company to a benchmark, as in your example.
    Specifically, I am using daily data on the G7 and BRICS Nations Indexes (CAC, FTSE, NIFTY etc) and will use the MSCI World as the 'market' benchmark/comparison.
    Which method would be most appropriate for this? The Market Model?
    Unless I am mistaken, I cannot use the RAR method given the beta and alpha is already taken care of in an index and thus would be pointless?

    • @PatObi
      @PatObi  5 ปีที่แล้ว +2

      You're on point. You can only use the mean adjusted model when using market indexes.

    • @PatObi
      @PatObi  5 ปีที่แล้ว +1

      You can only use the mean adjusted method with indexes

    • @Andrei-ju2gc
      @Andrei-ju2gc 3 ปีที่แล้ว

      Hi Joseph, I'm currently working on a similar thesis would you mind getting in touch, I'd like to address some questions.

  • @shahriarfrances1459
    @shahriarfrances1459 2 ปีที่แล้ว

    Excellent explanation. It would be super helpful if you could provide the link to this spreadsheet.

  • @mohammadiqbal607
    @mohammadiqbal607 5 หลายเดือนก่อน

    Can you please conduct a walkthrough for an event study of 200 M&A transactions using the Market method? How do I perform t-test on the cross-sectional average abnormal return for these 200 M&As over 200 days of estimation period and 20 days of event period?

  • @khanhcaoxuan1796
    @khanhcaoxuan1796 5 ปีที่แล้ว +2

    I believe I owe you my gratitude

  • @balkrishnaparab3353
    @balkrishnaparab3353 6 ปีที่แล้ว

    Excellent! Please post a video on doing rest of significance of the adjusted returns.

  • @yegorkuts1173
    @yegorkuts1173 5 ปีที่แล้ว +1

    Dear author, thank you for the video. The methodology is well described. Now I am on the stage of modelling, but in Stata, not in Excel, are you familiar with this software?

  • @harrywright3037
    @harrywright3037 6 ปีที่แล้ว +3

    What if we were using daily data? You said you were using monthly for fun... does that mean daily is the standard?

    • @Cathytran77
      @Cathytran77 5 ปีที่แล้ว

      Do you know how we can compute the daily return instead of the monsthly return ? With what value should we divide our index price?

    • @Daniel-ze8fl
      @Daniel-ze8fl 5 ปีที่แล้ว

      I actually have the same question...

  • @vishnuk2323
    @vishnuk2323 4 ปีที่แล้ว +1

    Dear Sir
    Wonderful explanation. Can you please share that excel sheet so that we can have a hands on approach. I tried to download the data from Yahoo but there are some discrepencies

  • @Vounou1
    @Vounou1 7 ปีที่แล้ว +1

    H, i'm writting a bachelor thesis about the effects of video-game announcements on the firms share price. I wanted to ask which method you suggest for a thesis like that, or should i even do all 3 methods? Thanks & great video!

    • @PatObi
      @PatObi  7 ปีที่แล้ว +1

      For a robust study, it's better to use all methods. Risk-adjusted models are best though.

    • @StheManroy
      @StheManroy 4 ปีที่แล้ว

      That's an interesting study! How did it turn out? I'd be interested in reading it. I'm doing a dissertation on effects of breach announcements on the firm's share price.

  • @krischette4108
    @krischette4108 5 ปีที่แล้ว +1

    Great video! Really appreciated this

  • @swathinaresh4045
    @swathinaresh4045 2 ปีที่แล้ว

    Dear author thank you for vedio..
    Please can you make vedios with IPO event.. because IPOs have not historical prices.

  • @aliakitoluckman7111
    @aliakitoluckman7111 3 ปีที่แล้ว

    Hello Sir, thank you for the explanation video, i would ask something, Should the confounding event in the estimation period be excluded?
    or just exclude it from the event period only?

  • @leonidasi-deas125
    @leonidasi-deas125 4 ปีที่แล้ว

    hallo!!Thnx for the tutoring is very enlightening!!Out of curiosity, couldnt we just calculate the regression in the last model and then use its residuals in order to calculate risk adjusted returns model?? thnk you very much!

  • @kkkrystalwei937
    @kkkrystalwei937 7 ปีที่แล้ว +2

    Thank you so much! it's very useful!!

  • @christoperpramudita6391
    @christoperpramudita6391 7 ปีที่แล้ว

    could you tell me all literatures that you used sir?

  • @andrushka84
    @andrushka84 7 ปีที่แล้ว +1

    Thanks! Great presentation. If the abnormal returns were positive, how would you test if they are significantly different from zero? Please make a video with this as well. Please try to organize your videos into playlists, so viewers could browse them easily.

  • @maisiedonati5726
    @maisiedonati5726 4 ปีที่แล้ว

    Great video, this has really helped me with my research :)

  • @solomonopare9060
    @solomonopare9060 7 ปีที่แล้ว +2

    How do you calculate the three different returns when you have events from more than one company?

    • @PatObi
      @PatObi  7 ปีที่แล้ว +4

      Solomon Opare: For each company, calculate each day's AR around its own event, say 5 days before and 5 days after. Then line up the days across the firms and calculate the average AR for each day within the event window.

    • @DineshSharma-eb1ch
      @DineshSharma-eb1ch 7 ปีที่แล้ว

      thanks

  • @mz451
    @mz451 4 ปีที่แล้ว

    Hey Pat, I am trying to conduct an event study over a whole industry and across different countries including different currencies (EURO, YEN, etc.). How do I have to deal with the different currencies? Do I have to set a base unit (e.g., USD)?
    Thanks a lot

    • @PatObi
      @PatObi  4 ปีที่แล้ว +1

      That's what I'd do - using the coincident FX for each period.

  • @clickbaitpolice9792
    @clickbaitpolice9792 5 ปีที่แล้ว

    the standard deviation pls, how did you calculate it?

  • @Ganieirfan
    @Ganieirfan 3 ปีที่แล้ว

    What price or return should I take for event day if event day is a holiday for exchange?

    • @PatObi
      @PatObi  3 ปีที่แล้ว +1

      Up to you. But generally, the next trading day.

    • @Ganieirfan
      @Ganieirfan 3 ปีที่แล้ว

      @@PatObi Thank you for your reply. If I have to check for abnormal returns would it be better to take previous day since our event day is holiday and then compare it with abnormal return of next trading day, that is say Tuesday.. If my original event day is Sunday(for which friday price is taken) ?

  • @chielvangurp3706
    @chielvangurp3706 3 ปีที่แล้ว +1

    Thanks!

  • @hamdaniimed1227
    @hamdaniimed1227 7 ปีที่แล้ว +1

    Hello, thanks for the video. I would like to know how do you for testing the significance of AR on each day in the event window ?

    • @PatObi
      @PatObi  7 ปีที่แล้ว +1

      Hamdani Imed: The basic process is to divide each AR by the std error. However the std error uses parameter estimates from the estimation period. Pls confirm by taking a look at the literature. Thanks.

  • @DenizWORLDOFBB
    @DenizWORLDOFBB 5 ปีที่แล้ว

    hey pat, can i use the simple return (G5/G4)-1 instead of the continuous compounding ln(G5/G4) ???

    • @PatObi
      @PatObi  5 ปีที่แล้ว +4

      For empirical analysis, the log form is more appropriate because it has better distributional properties.

  • @sapnanayak1453
    @sapnanayak1453 4 ปีที่แล้ว

    how and where do you get S&P or any market returns for that time?

    • @PatObi
      @PatObi  4 ปีที่แล้ว

      There are several databases from which you can obtain index data.

  • @sauce2408
    @sauce2408 4 ปีที่แล้ว

    so for the first method, the means adjusted returns, we cannot calculate a beta, intercept and standard deviation right, because we dont compare it to a market?

    • @PatObi
      @PatObi  4 ปีที่แล้ว

      Yes.

    • @sauce2408
      @sauce2408 4 ปีที่แล้ว +1

      @@PatObi Thanks for your answer. How do you calculate statistical significance, t and z values for the means adjusted returns model?
      Since I am not comparing to a market, so I dont have a beta. :S

  • @tanueliza2464
    @tanueliza2464 6 ปีที่แล้ว

    Sir I would like to calculate a 3 day window, 10 day window and 41 day window so is there a problem if i take 41 day window for calculating the intercept, slope and then apply for all the windows the same??

    • @PatObi
      @PatObi  6 ปีที่แล้ว

      The slope and intercept estimates can be used for all event windows. However be sure to calculate these estimates from the estimation period, which is a 'clean' period outside of the event windows.

  • @johnsonbaghla9791
    @johnsonbaghla9791 ปีที่แล้ว

    can you share excel sheet ......

  • @DineshSharma-eb1ch
    @DineshSharma-eb1ch 7 ปีที่แล้ว +1

    excel bhej bhai