Modelling Value at Risk: Evidence from the Saudi Stock Market
DOI:
https://doi.org/10.14738/abr.66.4696Keywords:
Backtest, Normal distribution, TASI, Value at Risk, worst lossAbstract
This paper aims to estimate Value at Risk (VaR) of Tadawul All Shares Index of Saudi Stock Market (TASI) over the period January 2004 – December 2017. It applies the following methods, empirical quartile, historical simulation (HS), and percentile, parametric via delta normal, GARCH, IGARCH, Monte Carlo simulation and bootstrapping simulation. It uses 5% and 1% critical value under Normal distribution. Back- testing based on likelihood ratio LR accepted empirical quartile at both five and one percent, while accepting delta normal, historical simulation, percentile, IGARCH, and Monte Carlo at one percent. The worst loss obtained is approximately 4%.
References
Adabi1, Mehrara, Mohsen and Mohammadi, Shapour (2015) Evaluation Approaches of Value at Risk for Tehran Stock Exchange Iran. Econ. Rev. Vol.19, No.1, 2015. P.41-62 https://ier.ut.ac.ir/article_55160_98a7d6824579c8d713bf61ec05b9abac.pdf
Alfi, Ayman F. and Mishra, Tapas K. (2014) Dynamics of Investor Risk Behavior in Emerging Stock Markets: Evidence from Saudi Arabia http://www.sama.gov.sa/en-US/EconomicResearch/WorkingPapers/wp_14_2.pdf
Aloui, Chaker and Ben Hemida, Hala (2015) Estimation and Performance Assessment of Value-at-Risk and Expected Shortfall Based on Long-Memory GARCH-Class Models Czech Journal of Economics and Finance, 65, no. 1- http://journal.fsv.cuni.cz/storage/1315_aloui.pdf
Bogdan, Sinisa, Suzana Baresa, and Zoran Ivanovic. (2015) Estimating Risk on the Capital Market with VaR Method. UTMS Journal of Economics 6 (1): 165–175. 165 Estimating Risk on the Capital Market with the Value at Risk Method www.farmdoc.illinois.edu/nccc134/conf_1998/pdf/confp20-98.pdf
Bucevska, Vesna (2013) an Empirical Evaluation of GARCH Models in Value-at-Risk Estimation: Evidence from the Macedonian Stock Exchange Business Systems Research Vol. 4 No. 1
Chang Hae-Ching, Chen, Cheng-TE, Hsieh, and Chin-Shan (2017) Forecasting of the Value at Risk by using Percentile of Cluster Method
www.kyu.edu.tw/teacpage/teacpage97/97論文成果彙編/206.pdf
Chena, Qi and Chen Rongda (2013) Method of Value-at-Risk and empirical research for Shanghai stock market www.sciencedirect.com/science/article/pii/.../pdf?md5...pid=1
Cheung, Yun Hsing and Powell Robert J. (2012) anybody can do Value at Risk: A Teaching Study using Parametric Computation and Monte Carlo Simulation Volume 6 | Issue 5 Article 7 http://ro.uow.edu.au/aabfj
Chen, Xibei () Empirical Research on Value-at-Risk Methods of Chinese Stock Indexes http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8911356&fileOId
Čorkalo, Šime (2011) Comparison of Value at Risk Approached on Stock Portfolio Croatian Operational Research Review (CRORR), Vol. 2 https://www.google.com.sa/search?q=Monte+Carlo+Simulation+Value+at+Risk&safe=strict&ei=_IMNW4KpI8mHU86mhZAJ&start=10&sa=N&biw=1517&bih=735
Diedwardo, Mike, Mad Quant ttps://www.youtube.com/watch?v=2QJykxUNb6I
DuttaA, Debashis and Basabi Bhattacharya (2006) Bootstrapped Historical Simulation Value at Risk Approach to S & P CNX Nifty http://www.igidr.ac.in/conf/oldmoney/mfc_10/Debashis%20Dutta_submission_27.pdf
Fernandez Viviana (2003) "Extreme Value Theory and Value at Risk" Revista de Analisis Economico Vol. 18 No. 1 pp 57-85
Goorbergh, Rob van den and Vlaar, Peter (1999) Value-at-Risk Analysis of Stock Returns Historical Simulation, Variance Techniques or Tail Index Estimation https://www.dnb.nl/binaries/sr040_tcm46-146818.pdf
HHarper, David Calculation of Conditional Value at Risk: https://www.youtube.com/watch?v=6Nolb4-iRSI;
Harper, David: Bootstrapping https://www.youtube.com/watch?v=FFSDsTqopZ0
Hurlin, Christophe and Tokpavi, Sessi (2014) Backtesting Value-at-Risk Accuracy: A New Simple Test. International Journal of Forecasting.
Fabio Lamantia, Sergio Ortobelli, Svetlozar Rachev () An Empirical Comparison among VaR Models and Time Rules with Elliptical and Stable Distributed Returns
sieha, Chin-Shan and Choub, Jian-Hsin, () Forecasting Value at Risk (VAR) in the Shanghai Stock Market Using the Hybrid Method
https://pdfs.semanticscholar.org/5a5d/c08f1b7e7695138c4d0f5e29e7a4d35a1fb7.pdf
Holton, Glyon (2017) How to Calculate Value-at-Risk – Step by Step https://www.glynholton.com/blog/risk-measurement/var_measure/
Linsmeier Thomas J. and Pearson Neil D. (1996) “Risk Management: an Introduction to Value at Risk” www.exinfm.com/training/pdfiles/valueatrisk.pdf
ChampaignManfredo, Mark R. and Leuthold Raymond M (2016) Analysis: A Review and the Potential for Agricultural Applications Review of Agricultural Economics--Volume 21, Number 1--Pages 99-111 Value-at-Risk
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.820.6540&rep=rep1&type=pdf
Monteiro, Paulo (2004) Forecasting Hedge Funds Volatility: Value at Risk Approach
Norling, Nicklas and Selling, Daniel (2012) Empirical Evaluation of Value-at-Risk during the Financial Crisis.
https://lup.lub.lu.se/student-papers/search/publication/1669008
Provizionatou, Vikentia, Markose, Sheri and Menkens, Olaf (2005) Empirical Scaling Rules for Value-at-Risk (VaR)
web.econ.ku.dk/.../provizionatou_empirical%20scaling%20rule.pdf
Rob van den Goorbergh and Peter Vlaar (1999) Value-at-Risk Analysis of Stock Returns Historical Simulation, Variance Techniques or Tail Index Estimation
Rogachev, Andrey (2002) Dynamic Value-at-Risk https://www.risknet.de/uploads/tx.../Dynamic-VaR-Rogachev-2002.p.
Samanta, G. P (2015) How Good is the Transformation-Based Approach to Estimate Value at Risk Simulation and Empirical Results. National Stock Exchange India WP/16/2015 https://www.nseindia.com/research/content/res_WorkingPaper16.pdf
Smolović, Cerović Julija, Milena Lipovina-Božović & Vujošević, Saša (2017) GARCH models in value at risk estimation: empirical evidence from the Montenegrin stock
Exchange. http://www.tandfonline.com/loi/rero20
Tsay, Ruey S. (2002) Analysis of Financial Time Series John Wiley & Sons, INC
Uryasev, Stan (2011) VaR vs CVaR in Risk Management and Optimization http://www.ise.ufl.edu/uryasev/files/2011/11/VaR_vs_CVaR_CARISMA_conference_2010.pdf
Yoon, Seong-Min,, Woo Hyojin and Kang Sang Hoon (2011) VaR Analysis for the Shanghai Stock Market International Conference on Advancements in Information Technology With workshop of ICBMG http://www.ipcsit.com/vol20/42-ICAIT2011-G020.pdf
Zhang, Bingqiu (2016) Stock Market Risk Measurement Method Based on Improved Genetic Algorithm Chemical Engineering Transactions Vol. 51
