金融衍生C++建模 Derivative modeling is at the heart of quantitative research and development on Wall Street. Practitioners (i.e., Wall Street trading desk quants) and academics alike spend much research, money, and time developing efficient models for pri
R is the essential skill to master for anyone looking to make an impact in quantitative finance. The reigning king of serious statistical languages, R gives you the power to turn your raw data into lucrative analyses - and this book shows you how. C
Use R to optimize your trading strategy and build up your own risk management system About This Book Learn to manipulate, visualize, and analyze a wide range of financial data with the help of built-in functions and programming in R Understand the c
Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demons
If you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospe
Key Features Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain different methods to manage
The basic
concepts of random variable, conditional expectation, stochastic process
iii
and stopping time are defined and several concrete instances of these notions
implemented. These are then applied to a random assortment of problems.
The main effo
A new approach to optimizing or hedging a portfolio of nancial instruments to reduce risk is
presented and tested on applications. It focuses on minimizing Conditional Value-at-Risk (CVaR)
rather than minimizing Value-at-Risk (VaR)
