Derivatives Analytics with Python shows you how toimplement market-consistent valuation and hedging approaches usingadvanced financial models, efficient numerical techniques, and thepowerful capabilities of the Python programming language. Thisunique...

The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data...

“All of our working lives we have heard the mantra, ‘a reputation lost is never regained.’ Still, the firms we work for, admire and invest in seem to take costly reputation hits all too often. Everyone interested in managing, regulating or investing in public firms will find Nir Kossovsky’s book a wonderful read...

Data mining and data modeling are hot topics and are under fast development. Because of its wide applications and rich research contents, a lot of practitioners and academics are attracted to work on these areas. In the view of promoting the communications and collaborations among the practitioners and researchers in Hong Kong, a two-day...

Nobody understands this better than author Philip McDonnell, and with Optimal Portfolio Modeling,...