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Bond Valuation and Analysis in R

中级技能水平
更新时间 2026年3月
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
免费开始课程
RApplied Finance4 小时13 视频43 练习3,350 经验值14,395成就声明

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课程描述

After this course on quantitative finance with R, you will be able to use R to develop a model to value a fixed interest rate bond, estimate and analyze a bond's yield (i.e., a measure of the opportunity cost of bond investors), and model techniques used to protect bond portfolios from changes in interest rates. Why value bonds? Bonds are securities issued by governments or corporations that pay interest over a fixed schedule and are the most well-known type of fixed income securities. The US fixed income market is 1.5x larger than the US stock market, but, unlike stocks, most fixed income instruments, including bonds, trade very infrequently. Consequently, a bond's price may be a less reliable indicator of its value and analytical techniques are necessary when analyzing and valuing bonds.

先决条件

Importing and Managing Financial Data in R
1

Introduction and Plain Vanilla Bond Valuation

The fixed income market is large and filled with complex instruments. In this course, we focus on plain vanilla bonds to build solid fundamentals you will need to tackle more complex fixed income instruments. In this chapter, we demonstrate the mechanics of valuing bonds by focusing on an annual coupon, fixed rate, fixed maturity, and option-free bond.
开始章节
2

Yield to Maturity

3

Duration and Convexity

Interest rate risk is the biggest risk that bond investors face. When interest rates rise, bond prices fall. Because of this, much attention is paid to how sensitive a particular bond's price is to changes in interest rates. In this chapter, we start the discussion with a simple measure of bond price volatility - the Price Value of a Basis Point. Then, we discuss duration and convexity, which are two common measures that are used to manage interest rate risk.
开始章节
4

Comprehensive Example

Bond Valuation and Analysis in R
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