يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '"financial analysis"', وقت الاستعلام: 1.78s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Using Boosting for Financial Analysis and Performance Prediction: Application to S&P 500 Companies, Latin American ADRs and Banks

    المؤلفون: Creamer, Germán, Freund, Yoav

    المصدر: Computational Economics. 36(2)

    مصطلحات موضوعية: Economics / Management Science, Economic Theory, Financial analysis, Machine learning, Adaboost, Data mining

    وصف الملف: application/pdf

    URL الوصول: https://escholarship.org/uc/item/195713pk

    أضف إلى المفضلة
  2. 2
    Predicting Corporate Financial Failure Using Macroeconomic Variables and Accounting Data

    المؤلفون: Fernando Fernández-Rodríguez, Hicham Ganga, Eduardo Acosta-González

    المصدر: Computational Economics. 53:227-257

    مصطلحات موضوعية: Finance, High rate, 050208 finance, Actuarial science, Insolvency, business.industry, media_common.quotation_subject, 05 social sciences, Economics, Econometrics and Finance (miscellaneous), Financial ratio, Real estate, Computer Science Applications, Econometric model, Bankruptcy, 0502 economics and business, Economics, Financial analysis, Quality (business), 050207 economics, business, media_common

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9abe8fc834698750d286eb3beeee7d94
    https://doi.org/10.1007/s10614-017-9737-x

    Find this article in full text from ProQuest
    أضف إلى المفضلة
  3. 3
    The Portfolio Heuristic Optimisation System (PHOS)

    المؤلفون: Iordanis Eleftheriadis, Efstratios Livanis, N. Loukeris

    المصدر: Computational Economics. 48:627-648

    مصطلحات موضوعية: 021103 operations research, Actuarial science, Application portfolio management, Heuristic, Economics, Econometrics and Finance (miscellaneous), 0211 other engineering and technologies, 02 engineering and technology, Computer Science Applications, Efficient-market hypothesis, Support vector machine, 0202 electrical engineering, electronic engineering, information engineering, Econometrics, Financial analysis, Economics, Portfolio, 020201 artificial intelligence & image processing, Portfolio optimization, Selection (genetic algorithm)

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::bcc6a37a45c5b4c5678e495d9d57203c
    https://doi.org/10.1007/s10614-015-9552-1

    Find this article in full text from ProQuest
    أضف إلى المفضلة
  4. 4
    Using Boosting for Financial Analysis and Performance Prediction: Application to S&P 500 Companies, Latin American ADRs and Banks

    المؤلفون: Yoav Freund, Germán G. Creamer

    المصدر: Creamer, Germán; & Freund, Yoav. (2010). Using Boosting for Financial Analysis and Performance Prediction: Application to S&P 500 Companies, Latin American ADRs and Banks. Computational Economics, 36(2), pp 133-151. doi: 10.1007/s10614-010-9205-3. Retrieved from: http://www.escholarship.org/uc/item/195713pk

    مصطلحات موضوعية: Boosting (machine learning), Latin Americans, Corporate governance, Adaboost, Economics, Econometrics and Finance (miscellaneous), Decision tree, Sample (statistics), Financial analysis, Random forest, Computer Science Applications, Machine learning, Econometrics, Business, AdaBoost, Economics / Management Science, Data mining, Economic Theory

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7211cafb2c640b297128d121adb3218c

    أضف إلى المفضلة
أدوات البحث: أحصل على تغذية RSS – أرسل هذا البحث بالبريد الإلكتروني – حفظ البحث – جدول التنبيهات: لا شيء