Predicting The Risk of Investing in Stocks Using Box-Jenkins Models

Authors

  • Prof. Dr. Haider Younis Al-Mousawi
  • Researcher Hussein Al-Safi

DOI:

https://doi.org/10.36322/jksc.v1i69.11945

Keywords:

Equity investment, risk, Saudi financial market

Abstract

This study sought the possibility of predicting the return on the shares of companies listed in the financial markets. The study was conducted in a number of institutions listed on the Saudi Stock Exchange. The study sample included (5) companies listed in the Saudi Stock Exchange, and daily views of the closing prices of the shares of the institutions were taken for the study sample for the period (2013-2021).The study started from a problem that most investors suffer from in the financial markets, which is the state of uncertainty or the inability to predict the risk of securities, which is still controversial in terms of the number of models used and the many methods of technical analysis, as well as it is one of the important topics to rationalize investors in making the optimal investment decision .Hence, the study sought to achieve a number of goals, the most prominent of which was the application of prediction models for (Box-Jenkins) for time series and knowledge of the best model that can be applied to predict stock risks, as well as assisting investors in making the best investment decision by removing or reducing uncertainty in the future.

For the purpose of achieving the objectives of the study, major hypotheses were formulated based on the study problem, and data were extracted and tested, and appropriate models were reached using the (Excel) and the (Gretl) statistical program. The study reached a set of conclusions, perhaps the most important of which is that the (Box-Jenkins) models are able to predict the data series of the study variable (R) in the Saudi Stock Exchange after making the data series stable in relation to the arithmetic mean and variance. Then the study concluded with a set of recommendations, the most important of which is urging investors to rely on the models that have been reached to predict the risk to help them make the optimal investment decision and develop future plans that will maximize the value of their investment portfolios.

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References

اولا: المصادر العربية

البحوث المنشورة:

- احمد، صديقي و عبد العزيز، بوكار، محاولة التنبؤ بمؤشرات الاسواق المالية العربية باستعمال النماذج القياسية دراسة حالة: مؤشر سوق دبي المالي، مجلة الاقتصاد وادارة الاعمال، مجلد(4)، عدد(2)، 2020.

- الهور، عبد الرحيم، الحتمية، جريدة لوسيل، عدد 534، 2017.

الرسائل والاطاريح:

- البياع، مهدي محمد، استخدام أساليب التمهيد المويجية في تشخيص بعض من نماذج السلاسل الزمنية اللاخطية باستخدام المحاكاة، أطروحة مقدمة كجزء من متطلبات نيل درجة دكتوراه فلسفة في الإحصاء، جامعة بغداد، كلية الادارة والاقتصاد، 2008.

- الجبوري، نعمة حسن، أستخدام المحاكاة للتحري عن حصانة بعض اختبارات قصور الملاءمة لنماذج ARMA، اطروحة مقدمة كجزء من متطلبات نيل درجة الدكتوراه في فلسفة العلوم الإحصائية. الجامعة المستنصرية، 2005.

- الساعدي، علي احمد، أستخدام نماذج السلاسل الزمنية الهجينة وغير الهجينة للتنبؤ بإعداد المسافرين لمطار بغداد الدولي، رسالة مقدمة كجزء من متطلبات نيل شهادة الماجستير في علوم الاحصاء، الجامعة المستنصرية، كلية الادارة والاقتصاد، 2016.

- علوان، سوزان كنعان، استعمال نماذج السلاسل الزمنية في دراسة تقلبات اسعار الاسهم في سوق العراق للاوراق المالية والتنبؤ باتجاهاتها، بحث مقدم كجزء من متطلبات نيل شهادة الدبلوم العالي في الاحصاء التطبيقي، جامعة بغداد، كلية الادارة والاقتصاد، 2018.

- فخري، مصطفى علي، الــتـنـبـؤ بـقـيـم الـسـلاسـل الـزمنـيـة بأستعمال أنموذج (ARMAX) مع تطبيق عملي على درجات الحرارة العظمى في مدينة بغداد، رسالة مقدمة كجزء من متطلبات نيل شهادة الماجستير في علوم الاحصاء، جامعة بغداد، كلية الادارة والاقتصاد، 2015.

- كاطع، احلام حنش، اختبارات التكامل الكسري في نماذج ARIMA، رسالة مقدمة كجزء من متطلبات نيل شهادة الماجستير في علوم الاحصاء، جامعة بغداد، كلية الادارة والاقتصاد، 2007.

- الكلابي، صفاء مجيد، أستعمال بعض طرائق التنبؤ المختلفة لتحليل اعداد المصابين بالاورام الخبيثة، رسالة مقدمة كجزء من متطلبات نيل شهادة الماجستير في علوم الاحصاء، جامعة كربلاء، كلية الادارة والاقتصاد، 2018.

- ماجد، عمر فتاح، استخدام السلاسل الزمنية للتنبؤ بالدخل القومي للعراق للمدة الدراسة (1968-2014)، بحث مقدم لنيل شهادة الدبلوم العالي في الاحصاء التطبيقي، جامعة بغداد، كلية الادارة والاقتصاد، 2017.

- ماجد، هيثم حسون، استخدام أساليب السلاسل الزمنية لمعالجة الاختلافات الموسمية في الرقم القياسي لسعر المستهلك، رسالة مقدمة كجزء من متطلبات نيل شهادة الماجستير في علوم الاحصاء، جامعة بغداد، كلية الادارة والاقتصاد، 2012.

- مجيد، علي باسم، استعمال السلاسل الزمنية للتنبؤ بالارقام القياسية لاسعار المستهلك في العراق للمدة (2022-2018)، بحث مقدم كجزء من متطلبات نيل شهادة الدبلوم العالي في الاحصاء التطبيقي، جامعة بغداد، كلية الادارة والاقتصاد، 2019.

ثانيا: المراجع الاجنبية

Books:

- Archer, S., Choate, M. & Racette, G., Financial Management, 2nd ed., N.Y., John Wiley & Sons, 1983.

- Bodie, Z., kane, A. & Marcus, Alan J., investment, McGraw–Hill/Irwin, 10th Edition, 2014.

- Box, G., and Jenkins, G., Time Series Analysis, 2nd Ed., N.Y., Addison Wesley Publishing co., 1970.

- Box, G., and Jenkins, G., Time Series Analysis and control, Fifth Edition, John Wiley & Sons, Inc, Canada, 2016.

- Brigham, Eugene F. & Ehrhardt, Michael C., Financial Management: Theory and Practice, 14th Edition, South-Western, Cengage Learning, USA, 2014.

- Brigham, F. & Houston, F., Fundamentals of Financial Management, 8th Ed., Primed In the U.S.A., 2015.

- Brigham, F. & Houston, F., Fundamentals of Financial Management, 9th Ed., Cengage Learning, USA, 2017.

- Casu, B., Girardone, C. & Molyneux, P., Introduction to Banking, Prentice Hall, Pearson Education Limited, 2006.

- Chatfield, C., Time-Series Forecasting, Chapman & Hall/Crc, London, 2000.

- Eaton, B. C., Eaton, D. F. And Allen, D. W., Microeconomics: Theory with Applications, 6th Ed., Toronto, Pearson Education, 2005.

- Fischer, Donald E.& Jordon, Ronald J., Security Analysis and Portfolio Management,6th Edition, New Delhi, Prentice – Hall Inc., 1996.

- Ghofrani, M., & Suherli, A. Time series and renewable energy forecasting, In N. Mohamudally (Ed.), Time series analysis and applications, Intech Open, 2017.

- Gitman, Lawrence J., Principles of Management Finance, 12th Ed., Pearson Prentice Hall, New Jersey,2009.

- Greuning, H.V. And Iqbal, Z., Risk Analysis for Islamic Banks. Washington, D.C: The World Bank, 2008.

- Hirschey, Mark & Nofsinger, John, Investment Analysis and Behavior, 2nd Edition, McGraw-Hill,Inc., New York, 2010.

- Hubbard, Douglas, The Failure of Risk Management: Why It's Broken and How to Fix It, John Wiley & Sons, 2009.

- Hull, John C.,Rask Management And Financial Institutions, 2nd Edition, Person Prentice Hall, U.S.A.,2010 .

- Jones, Charles P., Investments Analysis and Management, 3th Ed., N.Y., Jones Wiley & sons, Inc., 2000.

- Jordan, Bradford D.& Miller, Thomas W., Fundamentals Of Investments : Valuation And Management, 5th Edition, McGraw-Hill/Irwin, 2009.

- Lutkepohl, H. And Kratzig, M., Applied Time Series Econometrics, Cambridge University Press, Uk, 2004.

- Martin, Emmett, Fundamentals Of Risk And Insurance, 10th Edition, John Wiley & Sons, Inc., 2008.

- Mills, T., The Econometric Modelling of Financial Time Series, 3ed Ed., Cambridge University Press, Cambridge, 1993.

- Nader, Jihad S., The Manager's Concise Guide To Risk, John Wiley & Sons, LTD, England, 2002.

- Nugus, S., Financial planning using spread sheets: forecasting, planning and budgets techniques, 2nd Ed., Elsevier Ltd., 2009.

- Oldcorn, Roger & Parker, David, Strategic Investment Decision: Evaluating Opportunities in Dynamic Markets, FT pitman publishing, 1996.

- Panman, Stephen H., Financial Statement Analysis and security Valuation, 4th Edition, McGraw-Hill, New York, 2010.

- Rejda, Georce E., Principles Of Risk Management And Insurance, Person Edition, Inc., Prentice Hall, New Jersey, 2011.

- Rose, Peter S.& Hudging, Sylvia C., Bank Management & Financial Services, 7th Edition, McGraw-Hill, Inc., New York,2008.

- Rose, Peter S. & Marquis, Melon H., Money and Capital Markets, 10th Edition, McGraw-Hill/Irwin, New York, 2008.

- Rose, P. & Hudgins, S., Bank Management & finance Services, 9th Ed., McGraw – Hill a business, Unit of the McGraw- Hill Companies, Inc., Americas, New York, 2013.

- Ross, S., Westerfed, R. & Jeff, J., Modern Finance Management, 8th Ed., McGraw – Hill, U.S.A, 2003.

- Ross, S., Westerfield, R. & Jordan, B., Fundamentals of Corporate Finance, 8th Edition, McGraw-Hill/Irwin, 2008.

- Saunders, Anthony & Cornett, Marcia M., Financial Institutions Management: A Risk Management Approach, 6th Edition, McGraw Hill Companies, Boston, 2008.

- Sinkey, J.C., Commercial Bank Financial Management, 6th Edition, Prentice-Hall, Inc., 2001.

- Titman, S., Keown, A., Marten, J., Financial management: Principles and Applications, 11th Ed., Pearson Hall, USA, 2011.

- Tsay, Ruey S., Analysis of Financial Time Series, 2nd E., John Wiley & Sons, Inc., USA, 2002.

- Van Horne, James C. & Wachowicz, Jr., John M., Fundamentals of Financial Management, 13th Edition, Prentice Hall, England, 2009.

- Watson, D. And Head, A., Corporate Finance: Principles & Practice, 4th Ed., Financial Times Prentice Hall, England, 2007.

Journals & Periodical:

- Alexandri, Moh Benny& Jelita, Nita, Stock Investment Analysis: Case In Indonesia Stock Exchange, International Journal of Business and Management Review, Vol.3, No.1, 2014.

- Beaver, W., Kettler, P. & Scholes, M., The Association Between Market Determined and Accounting Determined Risk Measures, The Accounting Review, 45(4), 1970.

- Boffey, R. & Robson, G.N., Bank Credit Risk Management, Managerial Finance, Vol. 21, number 1, 1995.

- Campisi, J., Reconsidering Political Risk in Developed Economies, Journal of Political Risk, Vol. 4, No. 8, 2016.

- Chisasa, J. & Young, J., Implementing a Risk Management Framework In Developing Markets, International Journal of Business & Economics Research, Vol. 12, No. 6, 2013.

- Ferrer, S. R. D., Risk Preferences And Soil Conservation Decisions Of South African Commercial Sugarcane Farmers, The Journal Of Political Economy, Vol. LVI(4), 1999.

- Gökbulut,R., Gümrah,Ü.& Köseoğlu, S., Modelling the volatility in Istanbul Stock Exchange: shifting from Box-Jenkins to ARCH type models, Istanbul University Journal of the School of Business Administration , 40, 2, 2011.

- Golub, B. W. & Crum, C. C., Risk Management Lessons Worth Remembering From The Credit Crises Of 2007-2009, Journal Of Portfolio Management, 36 (3), 2010.

- Hishamuddin, M.A., Modern Portfolio Theory: Is There Any Opportunity For Real Estate Portfolio, Malaysian Journal Of Real Estate, 1, 1, 2006.

- Jackson, E.A., Sillah, A. and Tamuke, E., Modelling Monthly Headline Consumer Price Index (HCPI) through Seasonal Box-Jenkins Methodology. International Journal of sciences, 7(1), 2018.

- Kanchu, T., Kumar, M., Risk management in banking sector: An empirical study, International Journal of Marketing Financial Series & Management Research, Vol. 2, No. 2, February, 2013.

- Kelikume, Ikechukwu & Salami, Adedoyin, Time Series Modeling and Forecasting Inflation: Evidence From Nigeria, The International Journal of Business and Finance Research, Vol. 8, No. 2, 2014.

- Kennedy, C., Political Risk Management: A Portfolio Planning Model, Business Horizons, vol. 31, issue 6, 1988.

- Kolmogorov, A.N., Stationary sequences in Hilbert space (Russia). Bull. Moscow State Univ., Math., vol.2, 1941.

- Levy, H., Levy, M., Arrow-Pratt Risk Aversion, Risk Premium and Decision Weights, The Journal of Risk and Uncertainty, Vol. 25(3), 2002.

- Makridakis, S. & Hibon, M., ARMA Model And Box-Jenkins Methodology, Journel Of Forcasting, John Wiley & Sons,France, Vol. 16, 1997.

- Manikandan, K., Manivel, S., & R. Vettriselvan , Bank Credit and Industrial Production In India: Granger Causality Test In VAR Framework, Asia-Pacific Journal of Management Research and Innovation, 8(3), 2012.

- Matthee, H., Political risk analysis, In B. Badie, D. Berg-Schlosser, & L. Morlino (Eds.), International encyclopedia of political science, Thousand Oaks, CA: SAGE Publications, Inc., 2011.

- Meyler A., Kenny, G. And Quinn, T., Forecasting Irish Inflation Using ARIMA Models, Central Bank of Ireland, Technical Paper, 1998.

- Nakas, H.& Hattori, M., Changes In Bank Behavior During Japan's Financial Crisis, papers presented at eight Seminar on central Banking, Washington, 2002.

- Namin, S., Goli, A., Qolipour, M., Mostafaeipour, A. and Golmohammadi, A., Forecasting the wind power generation using Box–Jenkins and hybrid artificial intelligence, International Journal of Energy Sector Management, 2018.

- Narasimham G., Castellion, V. and Singpurwalla, N., On the Predictive Performance of the BEA Quarterly Econometric Model and a Box-Jenkins Type ARIMA Model, Proceedings of the American Statistical Association, 2, 1974.

- Paul, D., David D., and Peter p., Asia's Insecurity Survival, vol.Ul, No.3, Autuma, 1999.

- Rubinstein, M., Portfolio Selection: A Fifty-Year Retrospective, The Journal of Finance, 57, 3, 2002.

- Shin, Hyun-Han, Soenen, Luc, Exposure to Currency Risk By US Multinational Corporations, Journal of Multinational Financial Management, 9 (2), 1-3-1999.

- Slutsky, E., The Summation of Random Causes as the Source of Cyclic Processes. Econometrical, 5, 1937.

- Sottilotta, C.E., Political Risk: Concepts, Definitions, Challenges, LUISS School of Government, Working Paper Series, SOG-WP6/2013, ISSN|2282-4189, 2013.

- Stevenson, Simon, A comparison of the forecasting ability of ARIMA models, Journal of Property Investment & Finance, 25(3), 2007.

- Velk, Charles & Stallen, Pieter-Jan, Relational and personal Aspects of Risk, Acta psychologica, Volume 45, Issues 1–3, 1980.

- Yang, Y., Characteristics of Risk Preferences: Revelations from Grable &Lytton’s 13-Item Questionnaire, Journal of Personal Finance, Vol. 3(3), 2004.

- Yule, G.U., On the method of investigating periodicities in disturbed series, with special reference to Wolfers sunspot numbers, Philosophical Transactions of the Royal Society London, Series A, 226, 1927.

Thesis:

- Al- Marwani, Hamed A., An Approach to Modeling and Forecasting Real Estate Residential Property Market, A Thesis Submitted For The Degree Of Doctor Of Philosophy, Brunel Business School, Brunel University, UK, 2014.

- Alzahrani, Salem M., Modeling and Forecasting Lung Cancer Incidence and Mortality In Saudi Arabia, Submitted In Partial Fulfillment Of The Requirements Of The Degree Of Doctor Of Philosophy, Salford Business School, University Of Salford, Manchester, U.K., November, 2016.

- Derrocks, V., Risk Management, A Dissertation Submitted In Partial Fulfillment of The Requirements For The Degree Masters In Business Administration, NMMU Business School, 2010.

- Li, Xiaoping, Credit Risk Management in The Current Competitive Condition In The Chinese Banking Industry, The Thesis Is Submitted To The University Of Wales Institute, Cardiff For The Degree Of Doctor Of Philosophy, 2015.

- Qiao, Fang, Option-Implied Betas, Moment Risk Premia and Stock Returns, Thesis for The Degree Of Doctor Of Philosophy In Finance, University Of Exeter, 2015.

Internet:

- Capital Market Authority (CMA), https://cma.org.sa/en/Pages/default.aspx

- https://sa.investing.com/equities/middle-east

- https://sa.investing.com/equities/saudi-arabia

- Saudi Central Bank, https://www.sama.gov.sa/ar-sa/EconomicReports/Pages/MonthlyStatistics.aspx

- Saudi Exchange, https://www.saudiexchange.sa/wps/portal/tadawul/home?locale=ar

Published

2023-05-09

How to Cite

almousawi, haidar and Al-Safi, H. (2023) “Predicting The Risk of Investing in Stocks Using Box-Jenkins Models”, Journal of Kufa Studies Center, 1(69), pp. 101–146. doi: 10.36322/jksc.v1i69.11945.

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