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Applying Operations Research Techniques to Financial Markets

Author

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  • John Board

    (Department of Accounting and Finance, London School of Economics and Political Science, London WC2A 2AE, United Kingdom)

  • Charles Sutcliffe

    (Accounting and Finance Division, School of Management, University of Southampton, Southampton SO17 1BJ, United Kingdom)

  • William T. Ziemba

    (Operations and Logistics Division, Faculty of Commerce and Business Administration, University of British Columbia, 2053 Main Mall, Vancouver, British Columbia, Canada V6T 1Z2)

Abstract

OR techniques are applied to nonportfolio problems in financial markets, such as the equity, debt, and foreign exchange markets and the corresponding derivatives markets. Finance problems are an excellent application area for OR researchers. OR techniques are used to value financial instruments, identify market imperfections, design securities, regulate markets, evaluate and control risks, model strategic problems, and understand the functioning of financial markets. Mathematical programming is probably the most widely applied OR technique, but Monte Carlo simulation methods are of increasing importance. With the improvements in the real-time availability of data and the power of computers, the role of OR techniques in financial markets can only increase.

Suggested Citation

  • John Board & Charles Sutcliffe & William T. Ziemba, 2003. "Applying Operations Research Techniques to Financial Markets," Interfaces, INFORMS, vol. 33(2), pages 12-24, April.
  • Handle: RePEc:inm:orinte:v:33:y:2003:i:2:p:12-24
    DOI: 10.1287/inte.33.2.12.14465
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    as
    1. P. R. Chandy & Prakash Kharabe, 1986. "Pricing in the Government Bond Market," Interfaces, INFORMS, vol. 16(5), pages 65-71, October.
    2. Basso, Antonella & Funari, Stefania, 2001. "A data envelopment analysis approach to measure the mutual fund performance," European Journal of Operational Research, Elsevier, vol. 135(3), pages 477-492, December.
    3. Paul Zipkin, 1993. "Mortgages and Markov Chains: A Simplified Evaluation Model," Management Science, INFORMS, vol. 39(6), pages 683-691, June.
    4. Corwin Joy & Phelim P. Boyle & Ken Seng Tan, 1996. "Quasi-Monte Carlo Methods in Numerical Finance," Management Science, INFORMS, vol. 42(6), pages 926-938, June.
    5. Rubinstein, Mark, 1994. "Implied Binomial Trees," Journal of Finance, American Finance Association, vol. 49(3), pages 771-818, July.
    6. Ziemba, William T., 1994. "World wide security market regularities," European Journal of Operational Research, Elsevier, vol. 74(2), pages 198-229, April.
    7. Boyle, Phelim & Broadie, Mark & Glasserman, Paul, 1997. "Monte Carlo methods for security pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1267-1321, June.
    8. Matthew Pritsker, 1997. "Evaluating Value at Risk Methodologies: Accuracy versus Computational Time," Journal of Financial Services Research, Springer;Western Finance Association, vol. 12(2), pages 201-242, October.
    9. Dryden, Myles M, 1969. "Share Price Movements: A Markovian Approach," Journal of Finance, American Finance Association, vol. 24(1), pages 49-60, March.
    10. Hausch, Donald B & Ziemba, William T, 1990. "Arbitrage Strategies for Cross-Track Betting on Major Horse Races," The Journal of Business, University of Chicago Press, vol. 63(1), pages 61-78, January.
    11. M. A. H. Dempster & J. P. Hutton, 1999. "Pricing American Stock Options by Linear Programming," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 229-254, July.
    12. Martin R. Holmer & Stavros A. Zenios, 1995. "The Productivity of Financial Intermediation and the Technology of Financial Product Management," Operations Research, INFORMS, vol. 43(6), pages 970-982, December.
    13. Kenneth R. Baker & James H. Vander Weide, 1982. "The Bond Scheduling Problem of the Multi-Subsidiary Holding Company," Management Science, INFORMS, vol. 28(7), pages 738-748, July.
    14. Ritchken, Peter H, 1985. "On Option Pricing Bounds," Journal of Finance, American Finance Association, vol. 40(4), pages 1219-1233, September.
    15. Boyle, Phelim P., 1977. "Options: A Monte Carlo approach," Journal of Financial Economics, Elsevier, vol. 4(3), pages 323-338, May.
    16. Broadie, Mark & Glasserman, Paul, 1997. "Pricing American-style securities using simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1323-1352, June.
    17. Charles J. Litty, 1994. "Optimal Lease Structuring at GE Capital," Interfaces, INFORMS, vol. 24(3), pages 34-45, June.
    18. Firer, C & Sandler, M & Ward, M, 1992. "Market timing: A worthwhile strategy?," Omega, Elsevier, vol. 20(3), pages 313-322, May.
    19. A. A. Elimam & M. Girgis & S. Kotob, 1997. "A Solution to Post Crash Debt Entanglements in Kuwait's al-Manakh Stock Market," Interfaces, INFORMS, vol. 27(1), pages 89-106, February.
    20. Donald B. Hausch & William T. Ziemba & Mark Rubinstein, 1981. "Efficiency of the Market for Racetrack Betting," Management Science, INFORMS, vol. 27(12), pages 1435-1452, December.
    21. Ben-Horim, Moshe & Silber, William L., 1977. "Financial innovation : A linear programming approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 277-296, November.
    22. Hutchinson, James M & Lo, Andrew W & Poggio, Tomaso, 1994. "A Nonparametric Approach to Pricing and Hedging Derivative Securities via Learning Networks," Journal of Finance, American Finance Association, vol. 49(3), pages 851-889, July.
    23. J. G. Kallberg & W. T. Ziemba, 1983. "Comparison of Alternative Utility Functions in Portfolio Selection Problems," Management Science, INFORMS, vol. 29(11), pages 1257-1276, November.
    24. Donald B. Hausch & William T. Ziemba, 1985. "Transactions Costs, Extent of Inefficiencies, Entries and Multiple Wagers in a Racetrack Betting Model," Management Science, INFORMS, vol. 31(4), pages 381-394, April.
    25. Ross Clark & William T. Ziemba, 1987. "OR Practice—Playing the Turn-of-the-Year Effect with Index Futures," Operations Research, INFORMS, vol. 35(6), pages 799-813, December.
    26. Imelda Yeung Powers, 1987. "A Game-Theoretic Model of Corporate Takeovers by Major Stockholders," Management Science, INFORMS, vol. 33(4), pages 467-483, April.
    27. del Angel, Gabriela F. & Diez-Canedo, Javier Marquez & Gorbea, Estela Patino, 1998. "A discrete Markov chain model for valuing loan portfolios. The case of Mexican loan sales," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1457-1480, October.
    28. Abdelghani A. Elimam & Maurice Girgis & Samir Kotob, 1996. "The Use of Linear Programming in Disentangling the Bankruptcies of Al-Manakh Stock Market Crash," Operations Research, INFORMS, vol. 44(5), pages 665-676, October.
    29. J. Shaw & E. O. Thorp & W. T. Ziemba, 1995. "Risk arbitrage in the Nikkei put warrant market of 1989-1990," Applied Mathematical Finance, Taylor & Francis Journals, vol. 2(4), pages 243-272.
    30. Garman, Mark B., 1976. "An algebra for evaluating hedge portfolios," Journal of Financial Economics, Elsevier, vol. 3(4), pages 403-427, October.
    31. Keim,Donald B. & Ziemba,William T. (ed.), 2000. "Security Market Imperfections in Worldwide Equity Markets," Cambridge Books, Cambridge University Press, number 9780521571388, September.
    32. Dutta, Prajit K & Madhavan, Ananth, 1997. "Competition and Collusion in Dealer Markets," Journal of Finance, American Finance Association, vol. 52(1), pages 245-276, March.
    33. Kalman J. Cohen & Frederick S. Hammer, 1966. "Optimal Level Debt Schedules for Municipal Bonds," Management Science, INFORMS, vol. 13(3), pages 161-166, November.
    34. Bertsimas, Dimitris & Lo, Andrew W., 1998. "Optimal control of execution costs," Journal of Financial Markets, Elsevier, vol. 1(1), pages 1-50, April.
    35. Christofides, N. & Hewins, R. D. & Salkin, G. R., 1979. "Graph Theoretic Approaches to Foreign Exchange Operations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 14(3), pages 481-500, September.
    36. Elton, Edwin J & Gruber, Martin J, 1971. "Dynamic Programming Applications in Finance," Journal of Finance, American Finance Association, vol. 26(2), pages 473-506, May.
    37. Ramesh Sharda, 1987. "A Simple Model to Estimate Bounds on Total Market Gains and Losses for a Particular Stock," Interfaces, INFORMS, vol. 17(5), pages 43-50, October.
    38. Andrew Rudd & Mark Schroeder, 1982. "The Calculation of Minimum Margin," Management Science, INFORMS, vol. 28(12), pages 1368-1379, December.
    39. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    40. Yosi Ben-Dov & Lakhbir Hayre & Vincent Pica, 1992. "Mortgage Valuation Models at Prudential Securities," Interfaces, INFORMS, vol. 22(1), pages 55-71, February.
    41. G. O. Bierwag, 1976. "Optimal TIC Bids on Serial Bond Issues," Management Science, INFORMS, vol. 22(11), pages 1175-1185, July.
    42. Marshall Freimer & Mendu R. Rao & H. Martin Weingartner, 1972. "Notes--Note on "Municipal Bond Coupon Schedules with Limitations on the Number of Coupons"," Management Science, INFORMS, vol. 19(4-Part-1), pages 379-380, December.
    43. Mark Rubinstein., 1994. "Implied Binomial Trees," Research Program in Finance Working Papers RPF-232, University of California at Berkeley.
    44. P. Gopikrishnan & M. Meyer & L.A.N. Amaral & H.E. Stanley, 1998. "Inverse cubic law for the distribution of stock price variations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 3(2), pages 139-140, July.
    45. Robert M. Nauss & B. R. Keeler, 1981. "Minimizing Net Interest Cost in Municipal Bond Bidding," Management Science, INFORMS, vol. 27(4), pages 365-376, April.
    46. Hodges, S. D. & Schaefer, S. M., 1977. "A Model for Bond Portfolio Improvement," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(2), pages 243-260, June.
    47. repec:dau:papers:123456789/3569 is not listed on IDEAS
    48. Consiglio, Andrea & Zenios, Stavros A., 1997. "A model for designing callable bonds and its solution using tabu search," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1445-1470, June.
    49. Murthi, B. P. S. & Choi, Yoon K. & Desai, Preyas, 1997. "Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach," European Journal of Operational Research, Elsevier, vol. 98(2), pages 408-418, April.
    50. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    51. H. Martin Weingartner, 1972. "Municipal Bond Coupon Schedules with Limitations on the Number of Coupons," Management Science, INFORMS, vol. 19(4-Part-1), pages 369-378, December.
    52. Kraus, Alan, 1973. "The Bond Refunding Decision in an Efficient Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(5), pages 793-806, December.
    53. Kalman J. Cohen & Frederick S. Hammer, 1965. "Optimal Coupon Schedules for Municipal Bonds," Management Science, INFORMS, vol. 12(1), pages 68-82, September.
    54. Jackwerth, Jens Carsten & Rubinstein, Mark, 1996. "Recovering Probability Distributions from Option Prices," Journal of Finance, American Finance Association, vol. 51(5), pages 1611-1632, December.
    55. Bruce D. Grundy, 2001. "Merton H. Miller: His Contribution to Financial Economics," Journal of Finance, American Finance Association, vol. 56(4), pages 1183-1206, August.
    56. John M. Mulvey & Hercules Vladimirou, 1992. "Stochastic Network Programming for Financial Planning Problems," Management Science, INFORMS, vol. 38(11), pages 1642-1664, November.
    57. Dwight Grant & Gautam Vora & David Weeks, 1997. "Path-Dependent Options: Extending the Monte Carlo Simulation Approach," Management Science, INFORMS, vol. 43(11), pages 1589-1602, November.
    58. Amy v. Puelz & Sang M. Lee, 1992. "A Multiple-Objective Programming Technique for Structuring Tax-Exempt Serial Revenue Debt Issues," Management Science, INFORMS, vol. 38(8), pages 1186-1200, August.
    59. H. Martin Weingartner, 1967. "Optimal Timing of Bond Refunding," Management Science, INFORMS, vol. 13(7), pages 511-524, March.
    60. Jackwerth, Jens Carsten, 1999. "Option Implied Risk-Neutral Distributions and Implied Binomial Trees: A Literature Review," MPRA Paper 11634, University Library of Munich, Germany.
    61. Ashford, Robert W. & Berry, Robert H. & Dyson, Robert G., 1988. "Operational research and financial management," European Journal of Operational Research, Elsevier, vol. 36(2), pages 143-152, August.
    62. Robert M. Nauss, 1986. "True Interest Cost in Municipal Bond Bidding: An Integer Programming Approach," Management Science, INFORMS, vol. 32(7), pages 870-877, July.
    63. Mark Broadie & Paul Glasserman, 1996. "Estimating Security Price Derivatives Using Simulation," Management Science, INFORMS, vol. 42(2), pages 269-285, February.
    64. Myles M. Dryden, 1968. "Short-Term Forecasting Of Share Prices: An Information Theory Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 15(1), pages 227-249, February.
    65. Parameswaran Gopikrishnan & Martin Meyer & Luis A Nunes Amaral & H Eugene Stanley, 1998. "Inverse Cubic Law for the Probability Distribution of Stock Price Variations," Papers cond-mat/9803374, arXiv.org, revised May 1998.
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