### 商科代写|商业建模代写Business Modeling代考|Building a Financial Model by the Rulebook

• 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

The term “garbage in, garbage out” is never truer than in relation to financial modeling. You can have the most beautifully laid-out financial model with perfect formatting, a great design, and fabulous-looking charts and scenario tables, but if the inputs are not trusted, the model is effectively useless and no one will use the outputs. Important decisions are made based on the outputs of financial models, so listing the assumptions that have gone into the model is critical.

Documentation of assumptions is certainly not the most exciting part of financial modeling, so you may be tempted to leave it to the end. Don’t fall into this trap! When you’re done building your model, you won’t remember the source or reasoning for the assumptions. Document as you go. Whenever you make a structural change or even a minor change to one of the inputs, document it, even if it seems unimportant at the time.

List assumptions on a separate page, and label them clearly, so that they can be easily identified and referenced at a glance. For a small model, you may decide to mix source data and assumptions together. In a large model, you may separate them with as much detail as is possible or practical. For a detailed model, you may list every assumption on a dedicated sheet and then summarize the important ones on a separate sheet. Think about the level of detail in your model, and let that guide the detail of your documentation of assumptions.

Still not convinced that documenting assumptions is important? How’s this for persuasion: When you move to another role or you are away (hopefully, on vacation!), and something goes wrong with the model, who do you think they’re going to blame? You guessed it! Think of documenting assumptions as covering your butt. Your model needs to be able to speak for you when you aren’t around to explain or defend your work. The documentation of assumptions should explain your thought process and potentially also why the model is built the way it is. That way, if there are any questions as to the structure of the model, the approach to certain formulas or the assumptions, they can be easily explained by the model itself.

## 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。