|
Acerbi, C., Tasche, D. “On the Coherence of Expected Shortfall.” Journal of Banking and Finance, 26 (2002), pp. 1487-1503.
Alexander, C. Market Risk Analysis, value-at-risk Models: Wiley 2009.
Artzner, P., F. Delbaen, J. M. Eber, D. Heath. “Think Coherently.” Risk, 10 (1997), pp. 68-71.
Artzner, P., F. Delbaen, J. M. Eber, D. Heath. “Coherent Measure of Risk.” Mathematical Finance, 9 (1999), pp. 203-228.
Asmussen, S., Glynn, P. Stochastic Simulation: Algorithms and Analysis: Springer 2007.
Barone-Adesi, G. Bourgoin, F. and Giannopoulos, K., 'Don't look back', Risk, Vol. 11, August 1998, pp. 100-104.
Barone-Adesi, G., Giannopoulos, K. and Vosper. L., “VaR without correlations for non-linear portfolios.” Journal of Futures Markets, Vol. 19, August 1999, pp. 583-602.
Basel Committee on Banking Supervision “International convergence of capital measurement and capital standards.” 1988. Bank for International Settlements, Basel.
Basel Committee on Banking Supervision “Amendment to the capital accord to incorporate market risks.” 1996. Available from http://www.bis.org (accessed August 2008).
Basel Committee on Banking Supervision “Supervisory Framework for the Use of ‘Backtesting’ in Conjunction with the Internal Models Approach for Market Risk.” 1996. Bank for International Settlements, Basel, Switzerland.
Basel Committee on Banking Supervision “Amendment to the capital accord to incorporate market risks (Updated).” 2005. Available from http://www.bis.org (accessed August 2008).
Basel Committee on Banking Supervision “International convergence of capital measurement and capital standards: A revised framework (Comprehensive version).” 2006. Available from http://www.bis.org (accessed August 2008).
Basel Committee on Banking Supervision “Guidelines for computing capital for incremental risk in the trading book.” 2008. Available from http://www.bis.org (accessed August 2008).
Basel Committee on Banking Supervision. “Revisions to the Basel II market risk framework.” 2011. Available at:http://www.bis.org (accessed November 2013).
Basel Committee on Banking Supervision, Basel III: A global regulatory framework for more resilient banks and banking systems, 2011, access in 2014. http://www.bis.org/publ/bcbs189.pdf.
Basel Committee on Banking Supervision “Fundamental review of the trading book.” 2012.
Basel Committee on Banking Supervision, Basel III: The Liquidity Coverage Ratio and liquidity risk monitoring tools, January 2013.
Beder, T. S. VaR: Seductive but dangerous. Financial Analysts Journal, (1995), pp. 12-24.
Boudoukh, J., Richardson, M., Whitelaw, R. “The best of both worlds.” Risk Magazine, Vol. 11, No. 4(1998), pp. 64-67.
Britten-Jones, M., Schaefer, S.M. “Non-linear Value-at-Risk.” European Finance Re- view 2, (1999), pp. 161-187.
Cardenas, J, Fruchard, E., Picron, J.-F., Reyes, C., Walters, K., Yang, W. Monte Carlo Within a Day Risk 12, No. 2 (Feb.)(1999) , pp. 55-59.
Chen, Z., Glasserman, P. “Fast Pricing of Basket Default Swaps.” Operations Research, 56 (2008), pp. 286-303.
Chiang, M.-H., Yueh, M.-L., Hsieh, M.-H. “An efficient algorithm for basket default swap valuation.” Journal of Derivatives, 15, 2 (2007), pp. 8-19.
Cumming, C. M.,Hirthe, B. J. “The Challenges of Risk Management in Diversified Financial Companies.” Economic Policy Review, Federal Reserve Bank of New York, 7 (2001), pp.1-17.
Duffie, D., Pan, J. “An overview of value at risk.” The Journal of derivatives, 4(3) (1997), pp. 7-49.
Duffie, D., Pan, J. Analytical Value-at-Risk with Jumps and Credit Risk, working paper, Graduate School of Business, Stanford University. 1999.
Gibson, Michael, “Information Systems for Risk Management.” In The measurement of aggregate market risk. Basle: Bank for International Settlements, 1997.
Glasserman, P., Heidelberger, P., Shahabuddin, P. “Variance reduction techniques for estimating value-at-risk.” Management Science, 46 (2000), pp. 1349-1364.
Glasserman, P., Heidelberger, P., Shahabuddin, P. “Portfolio Value-At-Risk with Heavy-Tailed Risk Factors.” Mathematical Finance, 12 (2002), pp. 239-269.
Glasserman, P. Monte Carlo Methods in Financial Engineering. Springer Verlag, New York, 2004.
Glynn, P., Iglehart, D. L. “Importance sampling for stochastic simulations.” Management Science, 35 (1989), pp. 1367-1392.
Hammersley, J., Handscomb, D. Monte Carlo Methods 1964.
Heidelberger, P. “Fast simulation of rare events in queueing and reliability models.” ACM Trans. Model. Comput. Simul., 5, 1 (1995), pp. 43-85.
Hoogerheide, Lennart, and Herman K. van Dijk. “Bayesian forecasting of value at risk and expected shortfall using adaptive importance sampling.” International Journal of Forecasting, 26, 2 (2010), pp. 231-247.
Hsieh, M.-H., Liao, W.-C. ,Chen, C.-L. “A fast Monte Carlo algorithm for estimating value at risk and expected Shortfall.” Journal of Derivatives, Vol.22 (2014), pp.50-66.
Huisman, R., Koedijk, K., Kool, C., Palm, F. The Fat-Tailedness of FX Returns, work- ing paper, Limburg Institute of Financial Economics, Maastricht University, The Netherlands. Available at www.ssrn.com., 1998.
Hull, J., White, A. “Value at Risk when daily changes are not normally distributed.”Journal of Derivatives, 5 (1998), pp. 9-19.
Hull, J. “Options, Futures and other Derivatives.” 8th Edition. Prentice Hall 2011 Hull, J., Risk Management and Financial Institutions, 3rd Ed. Wiley Finance 2012.
Hull, J. Risk Management and Financial Institutions, 3rd Ed John Wiley &; Sons, 2012.
Jamshidian, F., Zhu, Y. “Scenario Simulation Model: Theory and Methodology.” Finance and Stochastics 1 (1997): 43–67.
Jorion, P. Value at Risk: The new benchmark for controlling market risk; New York, McGraw-Hill, 1996.
Jorion, P. Value at Risk, 3rd Ed.: The New Benchmark for Managing Financial Risk, New York: McGraw-Hill 2007.
Joshi, M., Kainth ,D. “Rapid and accurate development of prices and Greeks for nth to default credit swaps in the Li model.” Quantitative Finance, 4, 3 (2004), pp. 266-275.
Judd, K.L., Numerical methods in economics, Cambridge, Massachussets: MIT Press, 1998.
Lelyveld, I. van and A. Schilder, “Risk in Financial Conglomerates: Management and Supervision,” Paper to be presented at the Joint US Netherlands Roundtable on Financial Services Conglomerates, Washington D.C., Oct 24-25, 2002.
Linsmeier, T. J., Pearson, N. D. Value at risk. Financial Analysts Journal, (2000), pp. 47-67.
Liao, W.-C., Hsieh, M.-H., Chen, C.-L. “Market Risk Management Information System Implementation Methodology- A Case Study For Bank of Taiwan.” Information Management Doctoral Consortium (2012).
Linsmeier, T. J., Pearson, N. D. Value at risk. Financial Analysts Journal, (2000), pp. 47-67.
Matten, C., Managing Bank Capital: Capital Allocation and Performance Measurement, John Wiley &; Sons, New York, 2000.
Morgan, J. P., RiskMetrics Technical Document, 1996.
Owen, A., Tavella, D. Scrambled Nets for Value-at-Risk Calculations, 255-263, in Monte Carlo: Methodologies and Applications for Pricing and Risk Management, B. Dupire, ed., Risk Publications, London, 1999.
Picoult, E. Calculating Value-at-Risk with Monte Carlo Simulation, 209-229, in Monte Carlo: Methodologies and Applications for Pricing and Risk Management, B. Dupire, ed., Risk Publications, London, 1999.
Rouvinez, C. “Going Greek with VAR.” Risk, 10, 2 (1997), pp. 57-65.
Saita, F. Value at Risk and Bank Capital Management: Risk Adjusted Performances, Capital Management and Capital Allocation Decision Making, Academic Press 2010.
Shaw, J. Beyond VAR and Stress Testing, 231-244, in Monte Carlo: Methodologies and Applications for Pricing and Risk Management, B. Dupire, ed., Risk Publications, London, 1999.
Wilmott,P., Top Derivaties Expert Estimates, http://www.dailyfinance.com/2010/06/09/risk-quadrillion-derivatives-market-gdp/, 2010.
Wilson, T. Value at Risk-Risk management and Analysis,Vol.1: Measuring and Modeling Financial Risk, John Wiley &;Sons, 1998.
Yueh, M.-L., Wong, M. C. W. “Analytical VaR and Expected Shortfall for Quadratic Portfolios.” Journal of Derivatives, 2010, 1 (2010), pp. 1-12.
Zangari, P. “Market Risk Methodology.” Risk MetricsTM – Technical Document, 4th edition (1996), pp. 105-148.
Zangari, P. “How accurate is the Delta Gamma Methodology?.” Risk MetricsTM – Monitor, 3nd quarter(1996), pp. 12-29.
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