Why Black-Scholes Equations Are Effective Beyond Their Usual Assumptions: Symmetry-Based Explanation

被引:1
作者
Chinnakum, Warattaya [1 ]
Aguilar, Sean [2 ]
机构
[1] Chiang Mai Univ, Fac Econ, Ctr Excellence Econometr, Chiang Mai, Thailand
[2] Univ Texas El Paso, Dept Comp Sci, 500 W Univ, El Paso, TX 79968 USA
关键词
Financial options; Black-Scholes equations; decision making under uncertainty; scale invariance;
D O I
10.1142/S0218488520400012
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nobel-Prize-winning Black-Scholes equations are actively used to estimate the price of options and other financial instruments. In practice, they provide a good estimate for the price, but the problem is that their original derivation is based on many simplifying statistical assumptions which are, in general, not valid for financial time series. The fact that these equations are effective way beyond their usual assumptions leads to a natural conclusion that there must be an alternative derivation for these equations, a derivation that does not use the usual too-strong assumptions. In this paper, we provide such a derivation in which the only substantial assumption is a natural symmetry: namely, scale-invariance of the corresponding processes. Scale-invariance also allows us to describe possible generalizations of Black-Scholes equations, generalizations that we hope will lead to even more accurate estimates for the corresponding prices.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 19 条
[11]   DERIVATION OF SCHRODINGER EQUATION FROM SCALE-INVARIANCE [J].
KREINOVICH, VY .
THEORETICAL AND MATHEMATICAL PHYSICS, 1976, 26 (03) :282-285
[12]  
Li S., 2002, Limit theorems and applications of Set-Valued and fuzzy Set-Valued random variables, V1st
[13]   THEORY OF RATIONAL OPTION PRICING [J].
MERTON, RC .
BELL JOURNAL OF ECONOMICS, 1973, 4 (01) :141-183
[14]  
Nasrabadi N. M., 2007, Springer google schola, V16, P49901, DOI [10.1117/1.2819119, DOI 10.18637/JSS.V017.B05, 10.5555/1162264]
[15]  
Nguyen H.T., 1997, Applications of Continuous Mathematics to Computer Science
[16]  
Nguyen HT, 1998, HDB FUZZ SET SER, V2, P19
[17]  
Thorne K.S., 2017, Modern Classical Physics
[18]  
Walker E. A, 2018, A First Course in Fuzzy Logic
[19]   FUZZY SETS [J].
ZADEH, LA .
INFORMATION AND CONTROL, 1965, 8 (03) :338-&