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
This is perhaps one of the best books written in the field of quantitative finance, especially for implementing models especially using C++. It is equivalent to Numerical Recipes in C but for derivative models. It is one of the most comprehensive an
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 ho
Introduction to R for Quantitative Finance will show you how to solve real-world quantitative finance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to financial networks. Each c
Key Features Perform data analysis and build predictive models on huge datasets that leverage Apache Spark Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenge
