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Implementation of logistic regression into technical analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F13%3A00069574" target="_blank" >RIV/00216224:14560/13:00069574 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Implementation of logistic regression into technical analysis

  • Original language description

    Most of the investment strategies based on technical analysis are based on the principle that your strategy should be as easy as it is possible; in order to simplify your decision making. Goal of this paper is to use more sophisticated methods to combinethe signals from indicators of technical analysis to create advanced form of investing strategy, which will be sustainable in long run. This can be ensured by self-correcting mechanisms build-in the strategy itself. Econometrical methods will be used todetermine whether some kind of indicator has it relevance on the chosen type of asset. All input variables will be time series of dummy variables showing whether the indicator is suggesting taking a long position or not and of course their lags. Explained variable will be the successful trade (the price movement upwards is greater then spread and commissions). For this kind of purposes logistic regression seems to be essential, which is widely used in credit scoring.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 31st International Conference Mathematical Methods in Economics 2013

  • ISBN

    9788087035764

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    297-302

  • Publisher name

    College of Polytechnics Jihlava

  • Place of publication

    Jihlava

  • Event location

    Jihlava

  • Event date

    Sep 11, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article