Applied Quantitative Finance (Statistics and Computing)
Current price:
$99.99
Publication Date: August 5th, 2017
Publisher:
Springer
ISBN:
9783662544853
Pages:
372
Usually Ships in 1 to 5 Days
Description
Presents the latest developments in risk management; market risk, credit risk and dynamics of risk management
Provides a unique balance between theoretical concepts, computational tools and practical implementation
Features fully reproducible results and provides the underlying quantlets on the accompanying website www.quantlet.de
Includes an innovative analysis of the dynamics of cryptocurrencies
Time varying LASSO yields a financial risk meter (FRM hu.berlin/frm)
Other Books in Series
A First Course in Statistical Learning: With Data Examples and Python Code (Statistics and Computing)
Hardcover
Applied Statistical Learning: With Case Studies in Stata (Statistics and Computing)
Hardcover
Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)
Hardcover
Basic Elements of Computational Statistics (Statistics and Computing)
Hardcover
Automatic Nonuniform Random Variate Generation (Statistics and Computing)
Hardcover
Elements of Computational Statistics (Statistics and Computing)
Paperback
SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)
Paperback
Random Number Generation and Monte Carlo Methods (Statistics and Computing)
Hardcover
Developing Statistical Software in FORTRAN 95 (Statistics and Computing)
Paperback
S Programming (Statistics and Computing)
Hardcover
Computational Statistics (Statistics and Computing)
Hardcover
A Sas/IML Companion for Linear Models (Statistics and Computing)
Paperback
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Paperback
Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications (Statistics and Computing)
Hardcover
R for Stata Users (Statistics and Computing)
Hardcover
Elements of Computational Statistics (Statistics and Computing)
Hardcover
R for Stata Users (Statistics and Computing)
Paperback
Software for Data Analysis: Programming with R (Statistics and Computing)
Paperback
R for SAS and SPSS Users (Statistics and Computing)
Paperback