Non-parametric method for European option bounds

被引:0
|
作者
Hsuan-Chu Lin
Ren-Raw Chen
Oded Palmon
机构
[1] National Cheng-Kung University,Graduate Institute of Finance and Banking
[2] Fordham University,School of Business
[3] Rutgers University,Rutgers Business School
关键词
Option bounds; Non-parametric; Black–Scholes model; C14; C68; G12; G13;
D O I
10.1007/s11156-011-0249-9
中图分类号
学科分类号
摘要
There is much research whose efforts have been devoted to discovering the distributional defects in the Black–Scholes model, which are known to cause severe biases. However, with a free specification for the distribution, one can only find upper and lower bounds for option prices. In this paper, we derive a new non-parametric lower bound and provide an alternative interpretation of Ritchken’s (J Finance 40:1219–1233, 1985) upper bound to the price of the European option. In a series of numerical examples, our new lower bound is substantially tighter than previous lower bounds. This is prevalent especially for out of the money options where the previous lower bounds perform badly. Moreover, we present how our bounds can be derived from histograms which are completely non-parametric in an empirical study. We discover violations in our lower bound and show that those violations present arbitrage profits. In particular, our empirical results show that out of the money calls are substantially overpriced (violate the lower bound).
引用
收藏
页码:109 / 129
页数:20
相关论文
共 50 条
  • [21] A non-parametric design method for predictive control
    Chen, ZB
    Chen, L
    Li, SF
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 2787 - 2790
  • [22] A non-parametric method to estimate the number of clusters
    Fujita, Andre
    Takahashi, Daniel Y.
    Patriota, Alexandre G.
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2014, 73 : 27 - 39
  • [23] A NON-PARAMETRIC CONFIDENCE-INTERVAL METHOD
    RACINEPOON, A
    GRIEVE, AP
    EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY, 1985, 29 (03) : 379 - 380
  • [24] A NON-PARAMETRIC METHOD OF ITEM AND TEST SCALING
    BRYDEN, MP
    EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1960, 20 (02) : 311 - 315
  • [25] Non-parametric Bootstrap Method in Risk Management
    Valaskova, Katarina
    Spuchl'akova, Erika
    Adamko, Peter
    INTERNATIONAL CONFERENCE ON APPLIED ECONOMICS (ICOAE) 2015, 2015, 24 : 701 - 709
  • [26] On Parametric (and Non-Parametric) Variation
    Smith, Neil
    Law, Ann
    BIOLINGUISTICS, 2009, 3 (04): : 332 - 343
  • [27] PARAMETRIC AND NON-PARAMETRIC MINIMA
    ANZELLOTTI, G
    MANUSCRIPTA MATHEMATICA, 1984, 48 (1-3) : 103 - 115
  • [28] Growth and volatility in the European Union: a linear or a non-parametric approach?
    Botsaris, Charalampos
    Tsagkanos, Athanasios
    APPLIED ECONOMICS LETTERS, 2007, 14 (01) : 65 - 69
  • [29] A COMPARISON BETWEEN A PARAMETRIC AND A NON-PARAMETRIC METHOD OF ESTIMATING THE PERCENTILES OF A DIFFERENCE
    TAYLOR, JMG
    BIOMETRICAL JOURNAL, 1988, 30 (05) : 553 - 559
  • [30] Bayesian non-parametric inference for Λ-coalescents: Posterior consistency and a parametric method
    Koskela, Jere
    Jenkins, Paul A.
    Spano, Dario
    BERNOULLI, 2018, 24 (03) : 2122 - 2153