Analyzing Financial Data and Implementing Financial Models Using R
โ Scribed by Clifford S. Ang
- Publisher
- Springer Nature
- Year
- 2021
- Tongue
- English
- Leaves
- 465
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely and practical issues in financial modelling are covered including return and risk measurement, portfolio management, option pricing and fixed income analysis. This new edition updates and expands upon the existing material providing updated examples and new chapters on equities, simulation and trading strategies, including machine learnings techniques. Select data sets are available online.
๐ SIMILAR VOLUMES
<p><p>This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipula
I must agree with the other reviewers of Sengupta's very weak effort. This book is overly simplistic and of very little use to any true financial professional. For an excellent overview of financial modeling in general, look at Ragsdale 5e or The Art of Modeling with Spreadsheets by Powell of the
<div><p>The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guid
<div><p>The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guid
<div><p>The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guid