Improving lattice schemes through bias reduction

被引:0
|
作者
Denault, Michel [1 ]
Gauthier, Genevieve [1 ]
Simonato, Jean-Guy [1 ]
机构
[1] HEC Montreal, Serv Enseignement Finance, Montreal, PQ H3T 2A7, Canada
关键词
D O I
10.1002/fut.20221
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Lattice schemes for option pricing, such as tree or grid/partial differential equation (p.d.e.) methods, are usually designed as a discrete version of an underlying continuous model of stock prices. The parameters of such schemes are chosen so that the discrete version "best" matches the continuous one. Only in the limit does the lattice option price model converge to the continuous one. Otherwise, a discretization bias remains. A simple modification of lattice schemes which reduces the discretization bias is proposed. The modification can, in theory, be applied to any lattice scheme. The main idea is to adjust the lattice parameters in such a way that the option price bias, not the stock price bias, is minimized. European options are used, for which the option price bias can be evaluated precisely, as a template to modify and improve American option methods. A numerical study is provided. (c) 2006 Wiley Periodicals, Inc.
引用
收藏
页码:733 / 757
页数:25
相关论文
共 50 条
  • [1] Modulo-lattice reduction in precoding schemes
    Fischer, RFH
    Windpassinger, C
    Huber, JB
    2003 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS, 2003, : 163 - 163
  • [2] On the performance of lattice reduction schemes for MIMO data detection
    Wuebben, Dirk
    Seethaler, Dominik
    CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1-5, 2007, : 1534 - +
  • [3] DOUBLET LATTICE METHOD-SCHEMES FOR CPU TIME REDUCTION
    PRASAD, DSS
    HOLLA, VS
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1980, 23 (01) : 59 - 65
  • [4] Improving Bias Mitigation through Bias Experts in Natural Language Understanding
    Jeon, Eojin
    Lee, Mingyu
    Park, Juhyeong
    Kim, Yeachan
    Mok, Wing-Lam
    Lee, SangKeun
    2023 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2023), 2023, : 11053 - 11066
  • [5] Reduction of bias and variance for evaluation of computer-aided diagnostic schemes
    Li, Q
    Doi, K
    MEDICAL PHYSICS, 2006, 33 (04) : 868 - 875
  • [6] Improving marking quality through a taxonomy of mark schemes
    Ahmed, Ayesha
    Pollitt, Alastair
    ASSESSMENT IN EDUCATION-PRINCIPLES POLICY & PRACTICE, 2011, 18 (03) : 259 - 278
  • [7] Bias reduction through conditional conformal prediction
    Lofstrom, Tuve
    Bostrom, Henrik
    Linusson, Henrik
    Johansson, Ulf
    INTELLIGENT DATA ANALYSIS, 2015, 19 (06) : 1355 - 1375
  • [8] An Efficient Feed-forward Method for Lattice Reduction MIMO Schemes
    Hunukumbure, Mythri
    Sarperi, Luciano
    Vadgama, Sunil
    2011 IEEE 22ND INTERNATIONAL SYMPOSIUM ON PERSONAL INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2011, : 1485 - 1489
  • [9] Rural poverty reduction through centrally sponsored schemes
    Saxena, N. C.
    INDIAN JOURNAL OF MEDICAL RESEARCH, 2007, 126 (04) : 381 - 389
  • [10] Improving packet filters management through automatic and dynamic schemes
    Paul, O
    Laurent, M
    INFORMATION SECURITY FOR GLOBAL INFORMATION INFRASTRUCTURES, 2000, 47 : 331 - 340