IDEAS home Printed from https://ideas.repec.org/p/zbw/sfb649/sfb649dp2017-006.html

RiskAnalytics: An R package for real time processing of Nasdaq and Yahoo finance data and parallelized quantile lasso regression methods

Author

Listed:
  • Borke, Lukas

Abstract

In order to integrate and facilitate the research, calculation and analysis methods around the Financial Risk Meter (FRM) project, the R package RiskAnalytics has been developed. Its main goal is to provide data processing and parallelized quantile lasso regression methods for risk analysis based on NASDAQ data, Yahoo Finance data and some macro variables. The derived "Risk Analytics" can help to forecast and evaluate the systemic risk for the corresponding markets. The visualization and the up-to-date FRM can be found on http://frm.wiwi.hu-berlin.de. Supplementary R codes are published on www.quantlet.de with the keyword FRM. The RiskAnalytics package is a convenient tool with the purpose of integrating lasso penalized quantile regression methods with full solution paths and cluster computing support around the topic "Risk Analytics and FRM".

Suggested Citation

  • Borke, Lukas, 2017. "RiskAnalytics: An R package for real time processing of Nasdaq and Yahoo finance data and parallelized quantile lasso regression methods," SFB 649 Discussion Papers 2017-006, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2017-006
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/162507/1/882060589.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:sfb649:sfb649dp2017-006. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/sohubde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.