(Stata13): ARIMA Models (Identification)

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  • เผยแพร่เมื่อ 10 ธ.ค. 2024

ความคิดเห็น • 61

  • @CrunchEconometrix
    @CrunchEconometrix  6 ปีที่แล้ว +6

    TH-cam recently changed the way my content will be monetised. My channel now needs 1,000 subscribers. So it would be amazing if you show your support by both watching my videos and subscribing to my channel if you haven’t done so already. Monetising my videos allows me to invest back into the channel with some new equipment so this small gesture from you will be extremely huge for me. Many thanks for your support….CrunchEconometrix loves to teach, support my Channel with your subscription and sharing my videos with your cohorts.

  • @berthyrilewet1460
    @berthyrilewet1460 8 หลายเดือนก่อน +1

    Ma'am you make complicated things really straightforward, no excess formula! thanks from Gabon

    • @CrunchEconometrix
      @CrunchEconometrix  7 หลายเดือนก่อน

      Thanks for the encouraging feedback...deeply appreciated.

  • @汪哲緯
    @汪哲緯 4 ปีที่แล้ว +2

    Ma'am you make complicated things really straightforward, no excess formula! Thanks from Taiwan.

    • @CrunchEconometrix
      @CrunchEconometrix  4 ปีที่แล้ว

      Glad it was helpful, Max...thanks! I will appreciate if you can share my videos with your academic cohorts. Love from Nigeria!

  • @minzhu8291
    @minzhu8291 3 ปีที่แล้ว +1

    Thank you for your videos which accompanied me through the entire postgraduate study process;)

  • @blessingamosa.4529
    @blessingamosa.4529 4 ปีที่แล้ว +1

    A great contribution to the world of academics

    • @CrunchEconometrix
      @CrunchEconometrix  4 ปีที่แล้ว

      Thanks, for the encouraging feedback. Deeply appreciated!

  • @hmng2428
    @hmng2428 4 ปีที่แล้ว +1

    Greetings from Singapore. Just subscribed. Great videos, clear explanations. Well done.

    • @CrunchEconometrix
      @CrunchEconometrix  4 ปีที่แล้ว

      Thanks for the encouraging feedback and subscription, Ng. Deeply appreciated!❤️

  • @yahyehassan5491
    @yahyehassan5491 4 ปีที่แล้ว +1

    Really amazing channel I ever watched!!!
    Please invest back again it is very important area of interest not only for econometrics, its for all

    • @CrunchEconometrix
      @CrunchEconometrix  4 ปีที่แล้ว

      Thanks for the encouraging feedback, Yahye. Deeply appreciated! I'll keep creating quality hands-on tutorials. Please may I know from where (location) you are reaching me?

  • @wanjadouglas3058
    @wanjadouglas3058 3 ปีที่แล้ว +1

    A very good lecture

    • @CrunchEconometrix
      @CrunchEconometrix  3 ปีที่แล้ว

      Thanks for the positive feedback, Dr. Douglas.

  • @raufkarsak5799
    @raufkarsak5799 2 ปีที่แล้ว +2

    such a genius legend, thanks

    • @CrunchEconometrix
      @CrunchEconometrix  2 ปีที่แล้ว

      Thanks, Rauf for the encouraging feedback. Deeply appreciated 🥰🙏

  • @calvinlam949
    @calvinlam949 3 ปีที่แล้ว +1

    Love your work, the way you explain and layout everything is amazing!! It would be a lot more convenient if you could link all ARIMA videos together though, it was a bit hard to find this video after watching the ARIMA basics video. I wanna watch all your content!

    • @CrunchEconometrix
      @CrunchEconometrix  3 ปีที่แล้ว

      Hi Calvin, thanks for the encouraging feedback on my videos. Deeply appreciated. My videos are carefully sorted into 9 Playlists. Browse through to watch any video. Thanks.

  • @chaplanalyst
    @chaplanalyst 6 ปีที่แล้ว

    Great lecture! I thank you so much for helping me with my company project! :)

    • @CrunchEconometrix
      @CrunchEconometrix  6 ปีที่แล้ว

      Thanks Hyung, good to hear that my TH-cam Channel is helpful. Kindly share my videos with your academic community and colleagues...gracias! 💕 😊

  • @Jeqqerson
    @Jeqqerson 4 ปีที่แล้ว +1

    Great video thank you very much !

    • @CrunchEconometrix
      @CrunchEconometrix  4 ปีที่แล้ว

      Thanks for the encouraging feedback, deeply appreciated!

  • @georgerobbin3257
    @georgerobbin3257 ปีที่แล้ว +1

    Hi great video. i am currently trying to perform a regression analysis on time series data on US REITs. For this analysis, i have had to calculate the dependent variable (CSAD) using returns from the market (Market_indexLogDayRtn). i was wandering when selecting the appropriate model, should i base this decision on the autocorrelation of the dependent variable (CSAD) or the autocorrelation of the variable Market_indexLogDayRtn

    • @CrunchEconometrix
      @CrunchEconometrix  ปีที่แล้ว

      Hi George, it's the CSAD...variable under investigation.

  • @versystudio822
    @versystudio822 5 ปีที่แล้ว +1

    Thank you, very clear.

    • @CrunchEconometrix
      @CrunchEconometrix  5 ปีที่แล้ว

      U're welcome, Versy...may I know from where (location) you are reaching me?

    • @versystudio822
      @versystudio822 5 ปีที่แล้ว +1

      Currently studying in US

    • @CrunchEconometrix
      @CrunchEconometrix  5 ปีที่แล้ว

      @@versystudio822 Awesome! I will appreciate if you can spread the word about my videos to your students, friends and academic community in the 🇺🇸! 💕 😊

  • @AdaptedStudios
    @AdaptedStudios 4 ปีที่แล้ว +1

    You are a life saver! Our university is currently teaching us Stata but you have simplified it so much and made it much easier to understand. May I ask if the same rule applies of I am using your methods for multiple stock prices?

    • @CrunchEconometrix
      @CrunchEconometrix  4 ปีที่แล้ว

      Hi Adapted, thanks for the positive feedback. Deeply appreciated! Yes, you can use for multiple stock prices estimated SEPARATELY. Please may I know from where (location) you are reaching me?

    • @AdaptedStudios
      @AdaptedStudios 4 ปีที่แล้ว +1

      From UK!

  • @ainahumairarostam2815
    @ainahumairarostam2815 3 ปีที่แล้ว +1

    hi, may i ask? you said by looking at the difference series on PACF plot, there are 2 significant spikes which are at lag 1 and lag 3. what about at other lag that exceed the standard error line? I hope you can answer my question because now I am doing my Final Year Project about this method. TQ :)

    • @CrunchEconometrix
      @CrunchEconometrix  3 ปีที่แล้ว +1

      Hi Aina, kindly watch the entire videos clips on ARIMA for answer to your query. Thanks.

  • @sico365
    @sico365 2 ปีที่แล้ว +1

    I can't find the last step, forecasting for stata, is it available or not?

  • @bhaskartripathi
    @bhaskartripathi 6 ปีที่แล้ว

    Thanks Professor. That was really helpful.

  • @busaritajudeen9168
    @busaritajudeen9168 5 ปีที่แล้ว +1

    Your tutorial is amazing!
    Forecasting in Arima on stata which step 4 is missing

    • @CrunchEconometrix
      @CrunchEconometrix  5 ปีที่แล้ว

      Hi Busari, thanks for the positive feedback on my videos. Deeply appreciated! 💕 😊 The Stata video is still in the works. May I know from where (location) you are reaching me?

  • @matshophamalepe2368
    @matshophamalepe2368 3 ปีที่แล้ว

    may you please explain me how PARSIMONY works?

    • @CrunchEconometrix
      @CrunchEconometrix  3 ปีที่แล้ว

      Hi Matshopha, kindly watch my video on "General-to-Specific" for more about PARSIMONY. Thanks.

    • @mahlatsematshopha6828
      @mahlatsematshopha6828 3 ปีที่แล้ว +1

      Thanks, that's was really helpful

  • @dhanashreebadhe9711
    @dhanashreebadhe9711 4 ปีที่แล้ว

    Hi, in my graph, the PACF graph does not converge, what would that mean?

    • @CrunchEconometrix
      @CrunchEconometrix  4 ปีที่แล้ว

      Hi Dhana, how do you mean by "converge"?

    • @dhanashreebadhe9711
      @dhanashreebadhe9711 4 ปีที่แล้ว

      @@CrunchEconometrix What I mean to say is that my ac graph is flat but my pacf graph is not flat and the residuals are moving out of the confidence interval in increasing manner. The last residual is the highest. What to do in this case?

    • @CrunchEconometrix
      @CrunchEconometrix  4 ปีที่แล้ว

      Ok...I have given the necessary guide on what to do. Study the Table to decide the form of your ARIMA model.

  • @yahyehassan5491
    @yahyehassan5491 4 ปีที่แล้ว

    I can't able to get ARIMA forecasting part in stata , is there a way to get the part?

  • @ralphnestorpadero950
    @ralphnestorpadero950 4 ปีที่แล้ว

    is there a part 2 of the video??

  • @khalilmhadhbi7858
    @khalilmhadhbi7858 6 ปีที่แล้ว

    data base for your exemple?

  • @sabaaurangzeb3474
    @sabaaurangzeb3474 3 ปีที่แล้ว

    PLZ can u share link ACF and PACF

    • @CrunchEconometrix
      @CrunchEconometrix  3 ปีที่แล้ว +1

      Hi Sana, I have no such link.

    • @sabaaurangzeb3474
      @sabaaurangzeb3474 3 ปีที่แล้ว

      @@CrunchEconometrix ok then plzzz make a video about ACF AND PACF

    • @sabaaurangzeb3474
      @sabaaurangzeb3474 3 ปีที่แล้ว

      @@CrunchEconometrix plzz tell me why we use arima model for forcasting ???

    • @CrunchEconometrix
      @CrunchEconometrix  3 ปีที่แล้ว

      I explained forecasting in the ARIMA video. Kindly watch.

    • @CrunchEconometrix
      @CrunchEconometrix  3 ปีที่แล้ว

      I explained ACF and PACF in my ARIMA video.