Python for Finance: Analyze Big Financial Data

valuation of contingent claims, European Options

Excel

basic spreadsheet interaction, Basic Spreadsheet Interaction–Using pandas for

Reading and Writing

benefits of, Excel Integration

cell types in, Reading from Workbooks

drawbacks of, Excel Integration

features of, Excel Integration

file input-output operations, Data as Excel File

integration with Python, Excel Integration

integration with xlwings, xlwings

scripting with Python, Scripting Excel with Python–User-defined functions

excursion

control structures, Excursion: Control Structures

functional programming, Excursion: Functional Programming

expected portfolio return, The Basic Theory

expected portfolio variance, The Basic Theory

F

fat tails, Value-at-Risk, Real-World Data

ffill parameter, Regression Analysis

file transfer protocol, Web Basics

fillna method, Regression Analysis

finance

mathematical tools for, Mathematical Tools–Differentiation

role of Python in, Python for Finance–Conclusions

role of technology in, Technology in Finance–The Rise of Real-Time Analytics

role of web technologies in, Web Integration

financial analytics

basic analytics, Basic Analytics

(see also financial time series data)

definition of, The Rise of Real-Time Analytics

implied volatilities example, Implied Volatilities–Implied Volatilities

Monte Carlo simulation example, Monte Carlo Simulation–Graphical Analysis