量化金融和风险管理

用于定量金融和风险管理的MATLAB

导入数据,开发算法,调试代码,扩展处理能力等等。

In just a few lines of MATLAB®code, you can prototype and validate computational finance models, accelerate those models using parallel processing, and put them directly into production.

Leading institutions use MATLAB to determine interest rates, perform stress tests, manage multi-billion dollar portfolios, and trade complex instruments in less than a second.

  • MATLAB快速:运行风险和投资组合分析原型的原型比R中的速度快120倍。100xfaster than in Excel/VBA, and最多64倍比Python快。
  • MATLAB automatically generates documentation for model review and regulatory approval.
  • Analysts use prebuilt apps and tools to可视化intermediate results and调试models.
  • IT组可以部署IP protected models directly to桌面和Web应用程序例如Excel,Tableau,Java,C ++和Python。
  • MATLAB包括一个接口,用于从免费和付费资源中导入历史和实时市场数据,包括Bloomberg,Refinitiv,事实集,弗雷德,Twitter.
  • MATLAB handles big and streaming data from traditional and alternative data sources.

“ MATLAB使我们能够专注于投资专业人员的核心能力,并部署定量风险管理和投资组合优化仪表板,从我们团队的第一天开始增加了价值。”

Mathew John and Jason Liddle, SMMI

Investment Management

  • Build and evolve dashboards for portfolio managers, with intraday risk reporting, valuation, and trade execution capabilities.
  • 使用预制工具进行执行portfolio optimization使用均值变化,平均绝对偏差(MAD),有条件的价值风险(CVaR), and黑色列者方法.
  • Measure investment performance using risk-adjusted alphas, tracking errors, maximum drawdowns, and the Sharpe ratio.
Investment Management

Risk Management

Risk Management

  • 在整个风险模型生命周期中自动化,增强并提供可执行报告。通过模型验证,模型审查,实施和监管部门批准在短短三个月内采用模型。
  • Build risk management systems or压力测试infrastructure for CCAR, DFAST, Basel III, and Solvency II.
  • 使用模型和功能来量化风险敞口(例如,市场,信贷和运营风险),使用VAR和预期的缺口进行验证模型,并通过机器学习算法和文本分析来补充传统方法。

Algorithmic Trading

  • Develop trading strategies using traditional methods (e.g., technical indicators or econometric models) or more cutting-edge machine learning algorithms.
  • 使用MATLAB代码实时执行交易策略。
Algorithmic Trading

预测和建模

财务预测和建模

  • 使用点和点击应用程序使用计量序列模型(例如Arma,Arima,Garch,Egarch,GJR)或机器学习算法来适应时间序列数据。
  • 与DSGE模型预测关键经济变量的接口。
  • Use functions for interest rate modeling and forecasting based on parameters estimated from the Nelson-Siegel or Svensson models.

衍生品定价

  • Calculate price and greek variables of exotic options using Monte Carlo simulation in MATLAB significantly faster than running them in Visual Basic, R, and Python.
  • Choose various pricing methods (e.g., closed-form equations, binomial trees, trinomial trees, and the stochastic volatility model) to price options. These include European options, American options, Asian options, barrier options, caps, floors, swaps, and multi-underlying asset derivatives.
  • 并行运行计算密集型应用程序或将其部署到GPU。
  • 与numerix接口。
衍生品定价

Actuarial Science

Insurance and Actuarial Science

  • Analyze large data sets, create custom actuarial models, and easily accelerate the simulations using parallelization.
  • 使用MATLAB构建自定义风险模型as a platform for Solvency II.
  • 价格各种保险产品,例如可变年金,保证最低福利选择下载188bet金宝搏,定期保证和捐赠保单。