International Journal of Neutrosophic Science

Journal DOI

https://doi.org/10.54216/IJNS

Submit Your Paper

2690-6805ISSN (Online) 2692-6148ISSN (Print)

Volume 20 , Issue 1 , PP: 184-191, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Impact analysis of Macroeconomic Variables on Stock Market using Neutrosophic Interval Valued Dependent Matrix Model

G. Kavitha 1 * , S. Bhuvaneswari 2

  • 1 Department of Mathematics, Hindustan Institute of Technology & Science, Tamil Nadu, India - (kavithateam@gmail.com)
  • 2 Department of Mathematics, D.B. Jain College, Chennai, Tamil Nadu, India - ( prof.karuna@gmail.com)
  • Doi: https://doi.org/10.54216/IJNS.200115

    Received: June 05, 2022 Accepted: December 19, 2022
    Abstract

    Macroeconomic factors in general are crucial for developing a country's economy. This analysis takes into account the chosen macroeconomic factors for the years 2015 to 2019 including inflation, interest rate, GDP, and GDP per capita. The present study considered the new method of Neutrosophic environment in terms of the Fuzzy CETD matrix to determine the impact of the stock market for a particular year. This article describes a technique for examining how macroeconomic factors affect the stock market in a specific year. The proposed method reveals that the impact of the stock market is higher in 2015 than in 2016.

    Keywords :

    Neutrosophic Logic , NRIVD matrix , NCEIVD matrix , Macro economic variables.

    References

    [1]  Aditya Prasad Sahoo, BCM Patnaik, and Ipseeta Satpathy. Impact of Macroeconomic Variables on 

    Stock  Market  -A  Study  between  India  and  America.  European  Journal of  Molecular &  Clinical 

    Medicine, 7(11), pp.4469-4486, 2020.

    [2]  Anjanmukherjee and Abhikmukherjee. Application of fuzzy matrix theory in covid-19 pandemic. 

    JOSR Journal of mathematics, 16(4), pp.52-56, 2020.

    [3]  F. Smarandache, Neutrosophy. Neutrosophic Probability, Set, and Logic, ProQuest Information & 

    Learning, Ann Arbor, Michigan, USA, 105, 1998.

    [4]  F. Smarandache, R. Sunderraman, H. Wang, and Y. Zhang. Interval Neutrosophic Sets and Logic: 

    Theory  and  Applications  in  Computing.  HEXIS  Neutrosophic  Book  Series,  No.  5,  Books  on 

    Demand, Ann Arbor, Michigan, 2005.

    [5]  Florentin  Smarandache.  Introduction  to  Neutrosophic  Measure,  Neutrosophic  Integral,  and 

    Neutrosophic Probability, Sitech-Education Publisher, Craiova – Columbus, 2013. 

    [6]  S. Obaid Jameel , A. Mahdi Salih , R. Adnan Jaleel , Musaddak M. A. Zahra, On The Neutrosophic 

    Formula  of  Some  Matrix  Equations  Derived  from  Data  Mining  Theory  and  Control  Systems, 

    International Journal of Neutrosophic Science, Vol. 19 , No. 1 , (2022) : 267 -271 

    [7]  Florentin  Smarandache,  Neutrosophic  Statistics  is  an  extension  of  Interval  Statistics,  while 

    Plithogenic Statistics is the most general form of statistics (second version), International Journal of 

    Neutrosophic Science, Vol. 19, No. 1 , (2022) : 148-165 

    [8]  K. T. Atanassov, C. Cornelis, and E. E. Kerre. Intuitionistic Fuzzy Sets and Interval-Valued Fuzzy 

    Sets: a Critical Comparison. In M. Wagenknecht and R. Hampel, editors, Proceedings of the Third 

    International Conference on Fuzzy Logic and Technology, pages 159 –163, 2003.

    [9]  K.Radhika,  Anbalagan,  Alexander  and  Suganthi  Mariyappan.  Risk  factor of  breast  cancer  using 

    CETD matrix an analysis. International Journal of Applied Engineering Research, Research India 

    publications, 14(4), 2019.

    [10]  M. Dummett. A Propositional Calculus with Denumerable Matrix. Journal of Symbolic Logic, 24(2), 

    pp.97–106, 1959.

    [11]  M.  Khoshnevisan  and  S.  Bhattacharya.  A  Short  Note  on  Financial  Data  Set  Detection  using 

    Neutrosophic  Probability.  In  F.  Smarandache,  editor,  Proceedings  of  the  First  International 

    Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and 

    Statistics, University of New Mexico, pp.75–80, 2002.

    [12]  M. Khoshnevisan and S. Singh. Neurofuzzy and Neutrosophic Approach to compute the Rate of 

    Change  in  New  Economies.  In  F.  Smarandache,  editor,  Proceedings  of  the  First  International 

    Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and 

    Statistics, University of New Mexico, pp.56–62, 2002.

    [13]  T. Subhramaniyan, S.Suruthi, M.S. Paulraj, M. G. Ragunathan, and J. Jayanthi. A Study On Finding 

    The Most Prevalent Age Groups Of Diabetic Retinopathy Among Diabetic Population Using Fuzzy 

    Matrix Theory, International Conference on Recent Trends in Computing (ICRTCE-2021), Journal 

    of Physics: Conference Series, 1979. doi:10.1088/1742-6596/1979/1/012022.

    [14]  W.B.Vasantha  Kandasamy,  F.Smarandache.  Fuzzy  Cognitive  Maps  and  Neutrosophic  Cognitive 

    Maps, Xiquan, Phoenix, 211, 2003.

    [15]  W.B.Vasantha Kandasamy  and V.Indra. Maximizing the passengers comfort in the Madras transport 

    corporation. Using fuzzy programming progress of mat. Banaras Hindu, Unit 3, 2, pp.91-134, 1998.

    [16]  Florentin  Smarandache.  Indeterminacy  in  Neutrosophic  Theories  and  their  Applications. 

    International Journal of Neutrosophic Science (IJNS), 15(2), pp.89 -97, 2021.

    [17]  Umberto Rivieccio. Neutrosophic Logics: Prospects and Problems. April 13, 2007

    [18]  E. H. Marcia Esther , F. H. Robert Alcides , P. P. Rene Estalin, Neutrosophic Statistics for Social 

    Science, International Journal of Neutrosophic Science, Vol. 19 , No. 1 , (2022) : 250-259 

    Cite This Article As :
    Kavitha, G.. , Bhuvaneswari, S.. Impact analysis of Macroeconomic Variables on Stock Market using Neutrosophic Interval Valued Dependent Matrix Model. International Journal of Neutrosophic Science, vol. , no. , 2023, pp. 184-191. DOI: https://doi.org/10.54216/IJNS.200115
    Kavitha, G. Bhuvaneswari, S. (2023). Impact analysis of Macroeconomic Variables on Stock Market using Neutrosophic Interval Valued Dependent Matrix Model. International Journal of Neutrosophic Science, (), 184-191. DOI: https://doi.org/10.54216/IJNS.200115
    Kavitha, G.. Bhuvaneswari, S.. Impact analysis of Macroeconomic Variables on Stock Market using Neutrosophic Interval Valued Dependent Matrix Model. International Journal of Neutrosophic Science , no. (2023): 184-191. DOI: https://doi.org/10.54216/IJNS.200115
    Kavitha, G. , Bhuvaneswari, S. (2023) . Impact analysis of Macroeconomic Variables on Stock Market using Neutrosophic Interval Valued Dependent Matrix Model. International Journal of Neutrosophic Science , () , 184-191 . DOI: https://doi.org/10.54216/IJNS.200115
    Kavitha G. , Bhuvaneswari S. [2023]. Impact analysis of Macroeconomic Variables on Stock Market using Neutrosophic Interval Valued Dependent Matrix Model. International Journal of Neutrosophic Science. (): 184-191. DOI: https://doi.org/10.54216/IJNS.200115
    Kavitha, G. Bhuvaneswari, S. "Impact analysis of Macroeconomic Variables on Stock Market using Neutrosophic Interval Valued Dependent Matrix Model," International Journal of Neutrosophic Science, vol. , no. , pp. 184-191, 2023. DOI: https://doi.org/10.54216/IJNS.200115