IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v16y2023i5p91.html
   My bibliography  Save this article

Using the Financial Analysis Approach to Forecast Industrial Production: A Guide from Jordan

Author

Listed:
  • H. Banikhalid
  • S. Al-oshaibat

Abstract

This study aims to derive the function that can be used to predict the growth rate in the added value of industrial production in Jordan, depending on the financial ratios of industrial companies listed on the Amman Stock Exchange. To achieve the objectives of the study, the descriptive and analytical approach and multiple regression analysis were used using the SPSS program. The study population was represented by the public joint-stock companies listed on the Amman Stock Exchange in the industrial sector from 1994 to 2018. Results show that the financial ratios influencing the growth rate in industrial production value added the most (Industry t + 1) are earnings per share (EPS), net profit margin (NPM), and return on equity (ROE). Moreover, the effect is non-linear expressed by a function that can be used to predict the industrial production in Jordan. The study recommends paying attention to the partial input to predict macroeconomic variables, especially with the development of systems for storing and processing big data, as this method provides appropriate and sufficient data to make accurate decisions and enhances the right track.

Suggested Citation

  • H. Banikhalid & S. Al-oshaibat, 2023. "Using the Financial Analysis Approach to Forecast Industrial Production: A Guide from Jordan," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(5), pages 1-91, February.
    • Handle: RePEc:ibn:ijbmjn:v:16:y:2023:i:5:p:91
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijbm/article/download/0/0/45066/47740
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/ijbm/article/view/0/45066
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoquan Jiang & Bong Soo Lee, 2012. "Do Decomposed Financial Ratios Predict Stock Returns and Fundamentals Better?," The Financial Review, Eastern Finance Association, vol. 47(3), pages 531-564, August.
    2. Giuseppe Parigi & Roberto Golinelli & Giorgio Bodo, 2000. "Forecasting industrial production in the Euro area," Empirical Economics, Springer, vol. 25(4), pages 541-561.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Keen Meng Choy & Hwee Kwan Chow, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Econometric Society 2004 Australasian Meetings 223, Econometric Society.
    2. Osterloh, Steffen, 2018. "How do politics affect economic sentiment? The effects of uncertainty and policy preferences," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181614, Verein für Socialpolitik / German Economic Association.
    3. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    4. Giancarlo Bruno & Claudio Lupi, 2004. "Forecasting industrial production and the early detection of turning points," Empirical Economics, Springer, vol. 29(3), pages 647-671, September.
    5. Ece Oral & Dilara Ece & Turknur Hamsici, 2005. "Building Up a Real Sector Business Confidence Index for Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 5(1), pages 23-54.
    6. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
    7. Uju Violet Alola & Darya Baeva & Andrew Adewale Alola, 2023. "Determining the (A)symmetric Role of Business–Consumer Confidence in Outward–Inward Tourism in Russia: A Competitiveness Perspective," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 22-34, June.
    8. Enrico D’Elia & Francesca Faedda & Giacomo Giannone, 2020. "Un modello statistico per il monitoraggio delle entrate tributarie (MoME)," Working Papers wp2020-5, Ministry of Economy and Finance, Department of Finance.
    9. Lehmann Robert & Wohlrabe Klaus, 2015. "Forecasting GDP at the Regional Level with Many Predictors," German Economic Review, De Gruyter, vol. 16(2), pages 226-254, May.
    10. Sudeshna Ghosh, 2021. "Business Confidence and Business Tourism in Japan," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-23, February.
    11. Helder Ferreira Mendonça & André Filipe Guedes Almeida, 2019. "Importance of credibility for business confidence: evidence from an emerging economy," Empirical Economics, Springer, vol. 57(6), pages 1979-1996, December.
    12. Claveria, Oscar & Pons, Ernest & Ramos, Raul, 2007. "Business and consumer expectations and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 47-69.
    13. Bruno, Giancarlo & Lupi, Claudio, 2003. "Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data," MPRA Paper 42332, University Library of Munich, Germany.
    14. Bilge Pekçaglayan, 2021. "Determinants of Industrial Production in Turkey: ARDL Model," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(71-2), pages 435-456, December.
    15. Carstensen Kai & Wohlrabe Klaus & Ziegler Christina, 2011. "Predictive Ability of Business Cycle Indicators under Test: A Case Study for the Euro Area Industrial Production," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 82-106, February.
    16. Konstantinou, Panagiotis & Tagkalakis, Athanasios, 2011. "Boosting confidence: Is there a role for fiscal policy?," Economic Modelling, Elsevier, vol. 28(4), pages 1629-1641, July.
    17. Galdi, Giulio & Casarin, Roberto & Ferrari, Davide & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Nowcasting industrial production using linear and non-linear models of electricity demand," Energy Economics, Elsevier, vol. 126(C).
    18. Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017. "The role of indicator selection in nowcasting euro-area GDP in pseudo-real time," Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
    19. Lim, King Yoong & Morris, Diego, 2023. "Business optimism and the innovation-profitability nexus: Introducing the COVID-19 adaptable capacity framework," Research Policy, Elsevier, vol. 52(1).
    20. Thampanya, Natthinee & Wu, Junjie & Nasir, Muhammad Ali & Liu, Jia, 2020. "Fundamental and behavioural determinants of stock return volatility in ASEAN-5 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijbmjn:v:16:y:2023:i:5:p:91. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.