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
Ind JWBK378-Fletcher May 23, 2009 6:5 Printer: Yet to come
Index
‘#’ (comments), Python basics 195
+’ (concatenation operator), Python basics 194
=’ (assignment operator), Python basics 194–5
‘[]’ (lists), Python basics 196–7
abscissae 31–4, 63–7
see also curves
abstraction 201–3, 208–9
access mechanisms, Python basics 203, 209
accrual periods, concepts 77–82
accrual
basis 79–82, 178–87
accrual
dcf 77–9
accrual
end date 79–82, 117–22
accrual
holiday centres 80–2
accrual
shift method 80–2
accrual
start date 79–82, 90
accrued
coupon 153–6
acos 48–9
ActiveState Python distribution 8, 193
see also Python
actual
cpn 154–6
add 66–7, 101–22, 170, 172–6
AddConstant 170, 172–6
add
constant 66–7, 106–22, 170, 172–6
AddCurve 170–6
add
curve 66–7, 101–22, 170–6
add
event 94–8
AddSurface 170, 173–6
add
surface 66–7, 101–22, 170, 173–6
adjuvants, concepts 82–4, 147–52, 153–6,
177–87
adjuvant
table 82–4, 147–52, 153–6,
180–7
aliases, Python basics 196–7
all
observables 72–9
alphas 132–42
American options 219–20
see also options
analytic/semi-analytic pricing formulae
99
antithetic 112–22
append 46, 47–9, 54–7, 73–9, 81–3, 87–90,
94–8, 124–8, 132–42, 151–2, 155–6
appendices 4, 191–220
arbitrage-free pricing 217–18
args 121, 188
array 38–44, 67, 115–22, 133–42, 152–6,
179–87
arrays 2–3, 17–26, 38–44, 67, 115–22, 133–42,
152–6, 170–6, 179–87, 196–7
see also NumPy
associated arrays 196–7
C++ 17–26
concepts 17–26, 152–6, 196–7
dictionaries 119–22, 181, 196–7, ...
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