<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/new-applied-finance-course-bond-valuation-and-analysis-in-r/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://www.datacamp.com/community/blog/new-applied-finance-course-bond-valuation-and-analysis-in-r"> DataCamp Blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>This week we are launching <a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/bond-valuation-and-analysis-in-r">Bond Valuation and Analysis in R</a> taught by Clifford S. Ang, CFA, Vice President at Compass Lexecon. 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. After this course, 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.</p>
<p><center><strong><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/bond-valuation-and-analysis-in-r">Start For Free</a></strong></center></p>
<p><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/bond-valuation-and-analysis-in-r">Bond Valuation and Analysis in R </a>features 43 interactive exercises that combine high-quality video, in-browser coding, and gamification for an engaging learning experience that will get you on your way to becoming a bond valuation expert!</p>
<p><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/bond-valuation-and-analysis-in-r"><img alt="" src="https://i0.wp.com/community.datacamp.com.s3.amazonaws.com/community/production/ckeditor_assets/pictures/346/content_course_launch_promo_13.png?w=456" data-recalc-dims="1"></a></p>
<h3><strong>What you’ll learn</strong></h3>
<p>In the first chapter, Clifford will demonstrate the mechanics of valuing bonds by focusing on an annual coupon, fixed rate, fixed maturity, and option-free bond. <a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/bond-valuation-and-analysis-in-r">[Start First Chapter For Free]</a> Next, you will discover how to estimate the year-to-maturity of a bond. The YTM measures the expected return to bond investors if they hold the bond until maturity. In the third chapter, we start the discussion with a simple measure of bond price volatility – the Price Value of a Basis Point. The course will conclude by walking you through a comprehensive example. You will be asked to value a bond by using the yield on a comparable bond and estimate the bond’s duration and convexity. Want to get started today? </p>
<p><center><strong><a target="_blank" rel="nofollow" href="https://www.datacamp.com/courses/bond-valuation-and-analysis-in-r">Start For Free</a></strong></center></p>
<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.datacamp.com/community/blog/new-applied-finance-course-bond-valuation-and-analysis-in-r"> DataCamp Blog</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/search/data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/search/map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/search/animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/search/RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/search/sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/search/SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/search/eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/search/git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/search/hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/search/PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/search/time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/search/trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/NiCS32A_i2s"></a></div>