مقاله پژوهشی: پیش بینی فعالیت بازار سهام: نقش موتور جستجوی گوگل

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری حسابداری، دانشگاه فردوسی مشهد، مشهد، ایران

2 دانشجوی کارشناسی ارشد حسابداری مدیریت، دانشگاه فردوسی مشهد، مشهد، ایران

چکیده

این پژوهش به بررسی این موضوع می پردازد که آیا جستجوی نام و نماد شرکت در موتور جستجوی گوگل می تواند فعالیت سهام شرکت در بازار را پیش بینی کند؟ از این رو، داده های مربوط به جستجوی نام و نماد شرکت ها از گوگل ترند جمع آوری و نیز فعالیت بازار سهام با استفاده از چهار متغیر بازده غیرعادی، نوسان بازده سهام، حجم معاملات و تعداد معاملات سهام اندازه گیری شده است. در راستای پاسخ به سوال پژوهش، با استفاده از رگرسیون چندگانه و رگرسیون پانلی مدل پژوهش بر روی 13082 مشاهده شرکت – ماه طی سال های 1384 تا 1397  برآورد شده است. یافته ها حاکی از این بود که با افزایش جستجوی نام و نماد شرکت در گوگل، فعالیت آتی سهام شامل نوسان بازده سهام، حجم معاملات و تعداد معاملات شرکت افزایش می یابد؛ اما جستجوی نام شرکت با بازده غیرعادی آتی رابطه معنی داری نداشته است. نتایج پژوهش نشان می دهد که می توان فعالیت سهام شرکت را با استفاده از جستجوی گوگل پیش بینی نمود و علاوه بر این، جستجوی نماد شرکت ها نسبت به جستجوی نام شرکت ها، توانایی پیش بینی کنندگی بیشتری درباره فعالیت سهام دارد

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Predicting Stock Market Activity: Role of Google Search Engine

نویسندگان [English]

  • Sayyed Ali Mousavi Gowki 1
  • Mahsa Behnamrad 2
1 Ph.D Student of Accounting, Ferdowsi University of Mashhad, Mashhad, Iran
2 MA Student of Management Accounting, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده [English]

The main objective of this study was to investigate whether searching firm's ticker symbol and name in Google can predict its future stock market activities. In so doing, the data related to firms' ticker symbol and firms' name were collected using Google Trend and stock market activity was measured
using four proxies, namely abnormal return, return volatility, stock trading volume and stock trading count. In order to meet the main objective of the study, multiple regression and panel regression were used over13082 firm- month observation during the years between 2005 and 2018. The results showed that the future market activity, including return volatility, stock trading volume and stock trading count, increased with searching the firms' ticker and name in Google. However, there was no significant relationship between the future abnormal return and Google searches. Findings also showed that future market activity can be predicted using Google searches. In addition, there was a more significant relationship between the searched firms' ticker symbol than the searched firms' name and future market activity.    

کلیدواژه‌ها [English]

  • Market Activity
  • Search Engine
  • Google Search
  • Return Volatility
  • Trading Volume

مراجع

 
 
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سابقه مقاله

  • تاریخ دریافت: 26 تیر 1398
  • تاریخ بازنگری: 15 مهر 1398
  • تاریخ پذیرش: 17 مهر 1398

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