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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 金融代写|利率理论代写portfolio theory代考|Types of Asset Allocation

There are at least three types of asset allocation: strategic, tactical, and dynamic. Strategic allocation, as defined by Nobel Prize winner Bill Sharpe (1987), is set based on long-term goals. For example, if you need to set your asset allocation today for the next 30 years, you would be defining a strategic allocation. A fixed strategic allocation would be consistent with constant investment opportunities and risk tolerances. A fixed allocation may not be a good fit for an individual who plans to switch from saving to spending sometime in the future. In practice, strategic allocations are reviewed and revised at least every three to five years.

Tactical asset allocation responds to short-term changes in investment opportunities. Investors who frequently adjust their exposure to stocks, bonds, and cash are called market timers and set their allocations tactically. They seek to profit from short-term movements in the market, expect to change their asset weights in the near future, and may not worry much about the long-term implications of their average weights. Some active allocation managers may define a band around strategic weights, within which weights may be set in the short term but never deviate by so much so that tactical bets overwhelm the strategic allocation. For example, a longterm average target weight of 50 percent stocks with a $\pm 10$ percent band yielding a $40-60$ percent range would incorporate both strategic and tactical allocations.
Dynamic asset allocation is driven by changes in risk tolerance, typically induced by cumulative performance relative to investment goals or an approaching investment horizon. Portfolio insurance, popular in the mid-1980s, was a dynamic allocation strategy. It was designed to replicate the behavior of a put option by constantly adjusting the allocation to stocks based on the market level. This delta hedge was implemented using futures contracts and worked well until market liquidity collapsed in the 1987 crash. Other forms of dynamic allocation include constant proportion portfolio insurance, constant horizon portfolio insurance, and dynamic horizon asset allocation models.

## 金融代写|利率理论代写portfolio theory代考|Asset Classes

Asset classes are typically defined as groups of securities with similar characteristics. Statistically their constituents exhibit high correlations within each class, but low correlation between the classes. As mentioned previously, stocks, bonds, and cash arc the most common forms of assct classcs; thcy may bc cxpandcd to includc international stocks and bonds, real estate, venture capital, hedge funds, high-yield (junk) bonds, and commodities. The return correlations between the classes are frequently assumed to be stable and offer attractive diversification, on average. However, under some circumstances such as periods of market crises, correlation levels can shift quickly and eliminate diversification benefits. ${ }^{1}$ This occurred in late 2008 when correlations among risky assets (such as equity classes and high-yield bonds) quickly approached 1. Long-term correlation estimates are reported in Exhibit 3.1, illustrating the high correlation between the domestic equity classes and relatively low correlation between equities and government bonds. Investment-grade corporate and lower-quality high-yield bonds exhibit somewhat stronger correlation with equities. Investment-grade corporate bonds are highly correlated with government bonds, but high-yield corporate bonds appear more closely related to equities. Inflation exhibits low correlation with investments, except for very short-maturity Treasury bills.

# 利率理论代考

## 有限元方法代写

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

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