Journal of Computational Finance

Journal of Computational Finance
影响因子:
0.8
ISSN:
print: 1460-1559
on-line: 1755-2850
研究领域:
BUSINESS, FINANCE
自引率:
0.00%
Gold OA文章占比:
0.00%
原创研究文献占比:
100.00%
SCI收录类型:
Social Science Citation Index (SSCI) || Scopus (CiteScore)
期刊介绍英文:
The Journal of Computational Finance is an international peer-reviewed journal dedicated to advancing knowledge in the area of financial mathematics. The journal is focused on the measurement, management and analysis of financial risk, and provides detailed insight into numerical and computational techniques in the pricing, hedging and risk management of financial instruments. The journal welcomes papers dealing with innovative computational techniques in the following areas: Numerical solutions of pricing equations: finite differences, finite elements, and spectral techniques in one and multiple dimensions. Simulation approaches in pricing and risk management: advances in Monte Carlo and quasi-Monte Carlo methodologies; new strategies for market factors simulation. Optimization techniques in hedging and risk management. Fundamental numerical analysis relevant to finance: effect of boundary treatments on accuracy; new discretization of time-series analysis. Developments in free-boundary problems in finance: alternative ways and numerical implications in American option pricing.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
0.90.2840.652
学科
排名
百分位
大类:Economics, Econometrics and Finance
小类:Finance
249 / 317
21%
大类:Mathematics
小类:Applied Mathematics
525 / 635
17%
大类:Computer Science
小类:Computer Science Applications
730 / 817
10%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
4区 经济学
4区 商业:财政与金融 BUSINESS, FINANCE
WOS期刊分区
学科分类
Q4BUSINESS, FINANCE
历年影响因子
2021年1.4170
2022年0.9000
2023年0.8000
历年发表
2012年35
2013年32
2014年33
2015年29
2016年31
2017年15
2018年15
2019年21
2020年25
2021年18
2022年8
投稿信息
出版国家(地区):
United States
出版商:
Incisive Media Ltd.

Journal of Computational Finance - 最新文献

Genus Aconitum (Ranunculaceae) in the Ukrainian Carpathians and adjacent territories.

Pub Date : 2023-01-19 DOI: 10.3897/BDJ.11.e98828 Andriy Novikov, Oleh Prylutskyi

Estimating risks of European option books using neural stochastic differential equation market models

Pub Date : 2023-01-01 DOI: 10.21314/jcf.2022.028 Samuel N. Cohen, C. Reisinger, Sheng Wang

A general control variate method for time-changed Lévy processes: an application to options pricing

Pub Date : 2023-01-01 DOI: 10.21314/jcf.2023.006 Kenichiro Shiraya, Cong Wang, A. Yamazaki
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