多资产的股票挂钩保本型理财产品定价研究

结构性理财产品定价的核心问题是收益函数的确定,定价技术难点在于资产相关性的处理.应用Cholesky分解方法,先解决资产间的相关性问题,然后针对多资产保本型股票挂钩结构性产品收益函数特点,利用蒙特卡罗方法对其进行定价.最后以深圳商业银行盈丰理财0706号为例,介绍该方法的应用.结果表明,该产品定价偏高,产品实际收益率偏低.     

Common-factor stochastic volatility modelling with observable proxy

Multi-asset modelling is of fundamental importance to financial applications such as risk management and portfolio selection. In this article, we propose a multivariate stochastic volatility modelling framework with a parsimonious and interpretable correlation structure. Building on well-established evidence of common volatility factors among individual assets, we consider a multivariate diffusion process with a common-factor structure in the volatility innovations. Upon substituting an observable market proxy for the common volatility factor, we markedly improve the estimation of several model parameters and latent volatilities. The model is applied to a portfolio of several important constituents of the S&P500 in the financial sector, with the VIX index as the common-factor proxy. We find that the prediction intervals for asset forecasts are comparable to those of more complex dependence models, but that option-pricing uncertainty can be greatly reduced by adopting a common-volatility structure. The Canadian Journal of Statistics 48: 36–61; 2020 © 2020 Statistical Society of Canada     

基于异质信念的多资产动态定价模型研究

将单一风险资产定价模型进行扩展,提出一个多种风险资产共存的金融市场定价模型框架.模型中的交易者对价格的均值和方差具有不同的预期,且根据交易策略的适应度来选择交易策略.异质交易者之间互动驱动资产价格作非线性的运动.文章重点分析了两种资产共存的市场条件下价格运动的相互影响,发现资产间的相关性会导致价格的波动从一个市场上传递到另一个市场上,从而引起"溢出"效应.