دانلود مقاله انگلیسی رایگان:مروری بر مطالعات: روش های یادگیری ماشین اعمال شده به پیش بینی بازار مالی - 2019
بلافاصله پس از پرداخت دانلود کنید
دانلود مقاله انگلیسی یادگیری ماشین رایگان
  • Literature review: Machine learning techniques applied to financial market prediction Literature review: Machine learning techniques applied to financial market prediction
    Literature review: Machine learning techniques applied to financial market prediction

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    Literature review: Machine learning techniques applied to financial market prediction


    ترجمه فارسی عنوان مقاله:

    مروری بر مطالعات: روش های یادگیری ماشین اعمال شده به پیش بینی بازار مالی


    منبع:

    Sciencedirect - Elsevier - Expert Systems With Applications, 124 (2019) 226-251: doi:10:1016/j:eswa:2019:01:012


    نویسنده:

    Bruno Miranda Henrique, ViniciusAmorim Sobreiro ∗, Herbert Kimura


    چکیده انگلیسی:

    The search for models to predict the prices of financial markets is still a highly researched topic, despite major related challenges. The prices of financial assets are non-linear, dynamic, and chaotic; thus, they are financial time series that are difficult to predict. Among the latest techniques, machine learning models are some of the most researched, given their capabilities for recognizing complex patterns in various ap- plications. With the high productivity in the machine learning area applied to the prediction of financial market prices, objective methods are required for a consistent analysis of the most relevant bibliography on the subject. This article proposes the use of bibliographic survey techniques that highlight the most important texts for an area of research. Specifically, these techniques are applied to the literature about machine learning for predicting financial market values, resulting in a bibliographical review of the most important studies about this topic. Fifty-seven texts were reviewed, and a classification was proposed for markets, assets, methods, and variables. Among the main results, of particular note is the greater number of studies that use data from the North American market. The most commonly used models for predic- tion involve support vector machines (SVMs) and neural networks. It was concluded that the research theme is still relevant and that the use of data from developing markets is a research opportunity.
    Keywords: Financial time series prediction | Machine learning | Literature review | Main path analysis


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 26
    حجم فایل: 1444 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




اگر این مقاله را پسندیدید آن را در شبکه های اجتماعی به اشتراک بگذارید (برای به اشتراک گذاری بر روی ایکن های زیر کلیک کنید)

تعداد نظرات : 0

الزامی
الزامی
الزامی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی