Statistics & Risk Modeling

Journal Title：Statistics & Risk Modeling

Statistics & Risk Modeling aims to cover modern methods of statistical and probabilistic modeling, as well as their applications in risk management in finance, insurance, and related fields. This journal welcomes articles related to non parametric statistical methods and stochastic processes, and also encourages innovative applications of statistical modeling and reasoning in risk management.

The specific topics involved include statistical analysis of financial and insurance models, credit risk, market risk, and operational risk models, system risk models, risk management, non parametric statistical inference, statistical analysis of stochastic processes, randomness in finance and insurance, and decision-making under uncertainty. Its editorial team focuses on academic quality and ensures that published articles have high academic value and reliability through a rigorous peer review process. For researchers, scholars, and professionals in related fields, this journal is an important communication platform that helps promote the development of statistics and risk modeling, providing valuable theoretical and practical references for risk management in the financial and insurance industries.

《统计与风险建模》旨在涵盖统计学和概率建模的现代方法，及其在金融、保险及相关领域风险管理中的应用。本刊欢迎与非参数统计方法和随机过程相关的文章，也鼓励有关统计建模和推理在风险管理方面的创新应用论文。

其涉及的具体主题包括金融和保险模型的统计分析、信用风险、市场风险和操作风险模型、系统风险模型、风险管理、非参数统计推断、随机过程的统计分析、金融和保险中的随机学、不确定性下的决策制定等。它的编辑团队注重学术质量，通过严格的同行评审过程，以确保发表的文章具备较高的学术价值和可靠性。对于相关领域的研究人员、学者和专业人士来说，该期刊是一个重要的交流平台，有助于推动统计学和风险建模领域的发展，为金融和保险行业的风险管理提供有价值的理论和实践参考。

Statistics & Risk Modeling由Walter de Gruyter出版商出版，收稿方向涵盖STATISTICS & PROBABILITY全领域，平均审稿速度 ，影响因子指数1.3，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。