MARKET RISK ANALYSIS OF THE NON-FINANCIAL SECTORS IN MALAYSIA
DOI:
https://doi.org/10.51200/jaaab.v3i0.964Keywords:
Value-at-Risk, Monte Carlo Simulation, GARCH modelsAbstract
The objective of this study is to compare Value-at-Risk (VaR) numbers and behaviour patterns among non-financial sectors in Malaysia. The study applies the VaR full valuation approach namely the Monte Carlo Simulation (MCS) that are integrated with GARCH-based models as one of the parameter. The results indicate that the mining sector is most volatile while plantation sector has the lowest risk estimation in most circumstances as both the holding period and confidence level increases. The study also provides further evidences to existing literatures, which identify traditional economic sectors of a country, whether can generate the highest or the lowest level of risk.
References
Alexander, C. (1998). Risk management and analysis: Measuring and modelling financial risk
(Second ed. Vol. 1). England: John Wiley & Sons, Ltd.
Au, M. S. I. (2002). Value at Risk Analysis of Country Balance Sheet: Thailand in the 1990s.
Dissertation Abstract International. (ISBN: 0-612-81629-X).
Berkelaar, A., Cumperayot, P., & Kouwenberg, R. (2002). The effect of VaR based risk management
on asset prices and the volatility smile. European Financial Management, 8(2), 139 – 164.
Bolgun, K. E. (2004). Volatility preferences in calculating the capital adequacy with VaR
methodology on a typical Turkish bank trading portfolio. Retrieved from http://www.
gloriamundi.org
Bollerslev, T. (1986). Generalized autoregressive conditional heteroscedasticity. Journal of
Econometrics, 31, 307 – 327.
Brachinger, H. W. (2002). Measurement of risk. Optimization and operations research design (pp.
– 1137).
Bredin, D., & Hyde, S. (2004). FOREX risk: Measurement and evaluation using VaR. Journal of
Business Finance & Accounting, 31(9&10), 1389 – 1417.
Brooks, C., & Persand, G. (2002). Model choice and value-at-risk performance. Financial Analysts
Journal (September/October), 87 – 97.
Busarakamwong, J., Ng, Y. L., & Stamenoric, I. (2004). A framework for assessing the
diversification benefits of additional securities on portfolio risk. Retrieved from http://
www.gloriamundi.org
Butler, C. (1999). Mastering Value at Risk: A step-by-step guide to understanding and applying
VaR. Great Britain: Financial Times Management.
Cassidy, C., & Gizycki, M. (1997). Measuring traded market risk: Value-at-Risk and back testing
techniques; Unpublished Research Discussion Paper 9708. Reserve Bank of Australia.
Cheong, C.W. (2008). Heavy-tailed Value-at-Risk Analysis for Malaysian Stock Exchange.
Physica A, 387 (2008), 4285 – 4298.
Choong, Y. V. (2004) Development of Value-at-Risk Model with Application to Malaysian Capital
Market (Doctoral dissertation). Multimedia University.
Damodaran, A. (2005). Value and risk: Beyond betas. Financial Analysts Journal, 38 – 43.
Danielsson, J., & de Vries, C. G. (1997). Value-at-Risk and extreme returns. Retrieved from http://
www.gloriamundi.org
Davis, A. H. R., & Fouda, H. (1999). An augmented Value at Risk approach to risk management.
Canadian Journal of Administrative Sciences, 16(3), 185 – 194.
de Raaji, G., & Raunig, B. (1998). A comparison of Value at Risk approaches and their implications
for regulators. Focus on Austria, (4), 57 – 71.
Dowd, K. (2005). Measuring market risk. West Sussex, England: John Wiley & Sons.
Dunis, C. L., & Chen, Y. X. (2005). Alternative volatility models for risk management and
trading: Application to the EUR/USD and USD/JPY rates. Derivatives Use, Trading &
Regulation, 11(2), 126 – 156.
Engel, J., & Gizycki, M. (1999). Conservatism, accuracy and efficiency: Comparing value-at-risk
models. Retrieved from http://www.gloriamundi.org
Hallerbach, W. G., & Menkveld, A. J. (2004). Analysing perceived downside risk: The component
VaR framework. European Financial Management, 10(4), 567 – 591.
Hendricks, D. (1996). Evaluation of value-at-risk models using historical data. Federal Reserve
Bank. Economic Policy Review, 2(April), 39 – 70.
Ho, T. S. Y., Chen, M. Z. H., & Eng, F. H. T. (1996). VAR analytics: Portfolio structure, key rate
convexities and VAR betas. Journal of Portfolio Management, 23(1), 89 – 98.
Hull, J., & White, A. (1998). Value at risk when daily changes in market variables are not normally
distributed. Journal of Derivatives, 5(3), 9 – 19.
Jackson, P., Perraudin, W., & Maude, D. (1998). Testing value-at-risk approaches to capital
adequacy. Bank of England Quarterly Bulletin, 38(3), 256 – 266.
Jorion, P. (1997). In defense of VaR. Derivatives Strategy (pp. 20 – 23).
Jorion, P. (2006). Value at Risk: The New Benchmark for Controlling Market Risk (Third ed.).
Chicago: Irwin.
Ju, X., & Pearson, N. D. (1999). Using Value-at-Risk to control risk taking: How wrong can you
be? Journal of Risk, 5 – 36.
Kritzman, M., & Risch, D. (2002). The mis-measurement of risk. Financial Analysts Journal
(May/June), 91 – 99.
Lambardiaris, G., Papadopoulou, G., Skiadopoulos, G., & Zoulis, Y. (2003). VAR: History or
simulation. Risk, 123 – 126.
Lee, T.-H., & Saltoglu, B. (2002). Assessing the risk forecasts for Japanese stock market. Japan
and the World Economy, 14, 63 – 85.
Linsmeier, T. J., & Pearson, N. D. (2000). Value at Risk. Financial Analysts Journal, 47 – 67.
Luciano, E., & Marena, M. (2002). Portfolio value at risk bounds. International Transactions in
Operational Research (9), 629 – 641.
Mat Nor, F., Yakob, N. A., & Isa, Z., (1999). ARCH and GARCH based tests on the Malaysian
stock market, interest rate and exchange rate before and during the currency turmoil.
Capital Markets Review, 7, 87 – 99.
Nath, G. C., & Reddy, Y. V. (2003). Value at Risk: Issues and implementation in Forex market in
India. Retrieved August 2, 2006, from http://www.gloriamundi.org
Nelson, D. B. (1991). Conditional Heteroscedasticity in asset returns: A new approach.
Econometrica, 59(2): 347 – 370.
S.M.Zain. S.R. (2005). Gearing Differences across Malaysian Public Listed Companies. Paper
presented at the Malaysia Finance Association, Kuala Trengganu, Trengganu.
Simons, K. (2001). The use of value at risk by institutional investors. New England Economic
Review (Nov/Dec).
Singh, M. K. (1997). Value At Risk using principal components analysis. Journal of Portfolio
Management, 24(1), 101 – 112.
Sinha, T., & Chamu, F. (2000). Combining Different Methods of Calculating Value at Risk.
Retrieved from http://gloriamundi.org
Su, E. (1999). Value at Risk analysis and downside risk measure - An empirical study of Taiwan
stock market. Illinois Institute of Technology.
Tardivo, G. (2002a). Value at Risk (VaR): The new benchmark for managing market risk. Journal
of Financial Management and Analysis, 15(1), 16 – 26.
Tardivo, G. (2002b). Value at Risk model for bank’ asset allocation in Italy: Towards effective risk
management. Journal of Financial Management and Analysis, 15(2), 10 – 16.
Venkataraman, S. (1997). Value at risk for a mixture of normal distribution: The use of QuasiBayesian estimation techniques. Federal Reserve Bank of Chicago. Economic
Perspectives, (March/April), 2 – 3.
Vlaar, P. J. G. (2000). Value at risk models for Dutch bond portfolios. Journal of Banking &
Finance, 21, 1131 – 1154.
Wilson, W. W., Nganje, W. E., & Hawes, C.R. (2007). Value-at-Risk in bakery procurement.
Review of Agricultural Economics, 29(3), 581 – 595
Wirch, J. L. (1998). Value at Risk for Risk Portfolio. Actuarial Research Clearing House, 1, 259
– 266.
Yu, E. S. H., Chin, I. C. H., Hang, H. F. Y., & Wai, G. L. C. (2001). Managing risk by using
derivatives: The case of Hong Kong firms. Reviews of Pacific Basin Financial Markets
and Policies, 4(4), 417 – 425.
Zangari, P. (1996). When is non-normality a problem? The case of 15 time series from emerging
markets. Risk Metrics Monitor, (Fourth quarter), 20 – 31.
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