| Peer-Reviewed

Using the OLS Method to Analyze Indian Currency Fluctuations

Received: 18 January 2016    Accepted:     Published: 20 January 2016
Views:       Downloads:
Abstract

This article mainly uses the OLS method to analyze Indian currency fluctuations in 2014. We choose the exchange rate fluctuation of the Indian rupee against the Swiss franc as our research object. In order to analyze the influence of the Indian rupee against the Swiss franc, here this article mainly considers two factors: the exchange rate of dollar against the Swiss franc and exchange rate of the euro against the Swiss franc. This article use binary regression model considering two factors affect rupees/Swiss franc. By contrast, we found that the results of 2006 in the original model are better than the 2014.

Published in International Journal of Economic Behavior and Organization (Volume 3, Issue 6)
DOI 10.11648/j.ijebo.20150306.13
Page(s) 89-96
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

OLS, Exchange Rate, India

References
[1] Lu Qianjing, Cai Tianyi. India's exchange rate system reform and the enlightenment to China [J]. International Finance Research, 2011, 05: 13-22.
[2] Ma Xianxian, Gong Jian. India's exchange rate regime reform effect and enlightenment [J]. South Asian Studies Quarterly, 2009, 02: 56-60+74+113.
[3] Wu Juan. The compare of China's exchange rate system reform with India and the enlightenment to China [D]. Dongbei University of Finance and Economics, 2012.
[4] Sajal Ghosh. Examining crude oil price – Exchange rate nexus for India during the period of extreme oil price volatility [J]. Applied Energy, 2010, 885.
[5] Natalie D. Hegwood, Hiranya K. Nath. Real exchange rate dynamics: Evidence from India [J]. Economic Analysis and Policy, 2014.
[6] Biswajit Mohanty, N. R. Bhanumurthy. Exchange Rate Regimes and Inflation: Evidence from India [J]. International Economic Journal, 2014, 282.
[7] Mohsen Bahmani-Oskooee, Rajarshi Mitra. Exchange Rate Risk and Commodity Trade Between the U.S. and India [J]. Open Economies Review, 2008, 191.
[8] Tony Cavoli, Ramkishen S. Rajan. Open economy inflation targeting arrangements and monetary policy rules: Application to India [J]. Indian Growth and Development Review, 2008, 12.
[9] Hung-Teng Chang. A study on the application of neural network to the interrelationship among Renminbi and foreign currencies [J]. Journal of Information and Optimization Sciences, 2008, 294.
[10] P. Norouzzadeh, B. Rahmani. A multifractal detrended fluctuation description of Iranian rial–US dollar exchange rate [J]. Physica A: Statistical Mechanics and its Applications, 2005, 367.
[11] Zuoquan Zhang, Qin Zhao. The Application of SVMs Method on Exchange Rates Fluctuation [J]. Discrete Dynamics in Nature and Society, 2009, 2009.
Cite This Article
  • APA Style

    Anna Nie. (2016). Using the OLS Method to Analyze Indian Currency Fluctuations. International Journal of Economic Behavior and Organization, 3(6), 89-96. https://doi.org/10.11648/j.ijebo.20150306.13

    Copy | Download

    ACS Style

    Anna Nie. Using the OLS Method to Analyze Indian Currency Fluctuations. Int. J. Econ. Behav. Organ. 2016, 3(6), 89-96. doi: 10.11648/j.ijebo.20150306.13

    Copy | Download

    AMA Style

    Anna Nie. Using the OLS Method to Analyze Indian Currency Fluctuations. Int J Econ Behav Organ. 2016;3(6):89-96. doi: 10.11648/j.ijebo.20150306.13

    Copy | Download

  • @article{10.11648/j.ijebo.20150306.13,
      author = {Anna Nie},
      title = {Using the OLS Method to Analyze Indian Currency Fluctuations},
      journal = {International Journal of Economic Behavior and Organization},
      volume = {3},
      number = {6},
      pages = {89-96},
      doi = {10.11648/j.ijebo.20150306.13},
      url = {https://doi.org/10.11648/j.ijebo.20150306.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.20150306.13},
      abstract = {This article mainly uses the OLS method to analyze Indian currency fluctuations in 2014. We choose the exchange rate fluctuation of the Indian rupee against the Swiss franc as our research object. In order to analyze the influence of the Indian rupee against the Swiss franc, here this article mainly considers two factors: the exchange rate of dollar against the Swiss franc and exchange rate of the euro against the Swiss franc. This article use binary regression model considering two factors affect rupees/Swiss franc. By contrast, we found that the results of 2006 in the original model are better than the 2014.},
     year = {2016}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Using the OLS Method to Analyze Indian Currency Fluctuations
    AU  - Anna Nie
    Y1  - 2016/01/20
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijebo.20150306.13
    DO  - 10.11648/j.ijebo.20150306.13
    T2  - International Journal of Economic Behavior and Organization
    JF  - International Journal of Economic Behavior and Organization
    JO  - International Journal of Economic Behavior and Organization
    SP  - 89
    EP  - 96
    PB  - Science Publishing Group
    SN  - 2328-7616
    UR  - https://doi.org/10.11648/j.ijebo.20150306.13
    AB  - This article mainly uses the OLS method to analyze Indian currency fluctuations in 2014. We choose the exchange rate fluctuation of the Indian rupee against the Swiss franc as our research object. In order to analyze the influence of the Indian rupee against the Swiss franc, here this article mainly considers two factors: the exchange rate of dollar against the Swiss franc and exchange rate of the euro against the Swiss franc. This article use binary regression model considering two factors affect rupees/Swiss franc. By contrast, we found that the results of 2006 in the original model are better than the 2014.
    VL  - 3
    IS  - 6
    ER  - 

    Copy | Download

Author Information
  • The School of Economics, Shanghai University, Shanghai, China

  • Sections