A01=Dan Zhang
advanced R applications in investment
Author_Dan Zhang
bond market research
Candlestick Chart
Category=KC
Category=KF
Category=PBT
Category=UMX
Category=UMZ
Category=UY
Closing Price
Convertible Bond
Cpu E5-2650 V2
CSV Format
Cu1605 Ps
Enterprise Bonds
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
financial data analysis
GNU General Public License Versions
high performance computing
Interest Payment Date
Min 1Q Median 3Q Max
Multiple Linear Regression
NA NA
NA NA NA
NA NA NA NA
NA NA NA NA NA
PACF
Pairs Trading
Portfolio
portfolio optimization methods
programming
quantitative finance techniques
Quantitative Investment
R
Rcpp Package
Repo Transaction
Reverse Repos
Risk Free Asset
risk management strategies
Statistics
String Vector
Treasury Bonds
X64 B4bit
Product details
- ISBN 9781498736893
- Weight: 376g
- Dimensions: 178 x 254mm
- Publication Date: 07 May 2018
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area. Quantitative investment has been hot for some years, and there are more and more startups working on it, combined with many other internet communities and business models. R is widely used in this area, and can be a very powerful tool. The author introduces R applications with cases from his own startup, covering topics like portfolio optimization and risk management.
