Skip to Content
Financial Modelling in Python
book

Financial Modelling in Python

by Shayne Fletcher, Christopher Gardner
August 2009
Intermediate to advanced
244 pages
9h 5m
English
Wiley
Content preview from Financial Modelling in Python
P1: JYS
c10 JWBK378-Fletcher May 12, 2009 19:2 Printer: Yet to come
152 Financial Modelling in Python
, shift method = shift convention.modified following
, fee
currency = "USD")
return sched
10.2 PRICING A TARN
In this section we illustrate how we can use the components to price a Target Redemption
Note, commonly referred to as a TARN. We will use the code developed in section 9.2 to do
the actual pricing. So what is a TARN? A TARN is a swap consisting of a funding leg paying
LIBOR plus a spread in exchange for an exotic coupon leg receiving a coupon of the form
c
t
= max
f, c + g × L
tT
s
T
e
(10.6)
with f the floor, c a fixed coupon amount, g the leverage and L
tT
s
T
e
the LIBOR rate for the
period (T
s
, T
e
) observed at t
{
T
1
, T
2
,...,T
n
}
, a discrete set of times. The whole contract
knocks out if the total accrued coupon reaches a predefined target. Typically if the swap hasn’t
triggered before it ends, then the holder of the TARN receives a guaranteed accrued amount
called the redemption floor. In addition, if the swap triggers, then the holder receives an accrued
amount no greater than the redemption cap. In most TARN structures both the redemption
floor and redemption cap are equal to the target.
Before moving on to discuss the payoff classes for the TARN, it is helpful to first look at
the mathematical form of the exotic coupon in more detail. The exotic coupon, denoted by C
t
in the formulae below, can be split ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Stochastic Financial Models

Stochastic Financial Models

Douglas Kennedy
Python and R for the Modern Data Scientist

Python and R for the Modern Data Scientist

Rick J. Scavetta, Boyan Angelov

Publisher Resources

ISBN: 9780470987841Purchase book