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本帖最后由 wodegp 于 2012-1-31 22:32 编辑
.1point3acres
先转一段:网上回复,自quantitative finance
. I believe that C++ is the most common quantitative infrastructure language. I don't know of a single hedge fund or investment bank that doesn't use it extensively or completely (and I spoke to a lot of them at some point in the past). In some cases, as the former Lehman brothers-now-Barclays, C++ was the only language of choice, which is a bit extreme, given that C++ is not as easy to use as a scripting language. Most companies I know pair C++ with a scripting language of choice. Traditionally, this was MATLAB, which is still amazingly popular for prototyping. More recently, R and Python have become more popular. R especially is now used at several hedge funds I know, and has taken many MATLAB seats; and I know of Python users in JPM and UBS. Python has also nice bindings to BLAS, LAPACK, NAG and MOSEK. Goldman has diffentiated itself by developing a proprietary language, SLANG; the very definiton of non-popular. I don't think Java is used heavily or at all for numerical work. Just try to find maintained to BLAS and LAPACK..
Some crazy market maker will differentiate itself via language, as in the case of Jane St., lonely user of OCAML. I would not be surprised to find a LISP-only 10-person shop flying under the radar screen, and very wealthy. But I have never heard of a single Clojure/Scala/Groovy/Ruby/[add your trendy language] in a serious company. At least, I would never invest my money in a company using a web development, immature language to manage wealth.
Summing up, I would say C++, and then a number of prototyping languages, with MATLAB still dominating, but R having a strong positive momentum.
. Χ
似乎c++/matlab是目前金工的主要工具;
有哪位高贤知道,在美国职场,就一般而言——不限于金工,统计专业(Statistics Programmer)的软件工具,以及程序语言是什么啊?比如S-plus,R,matlab,SAS,或者其它?
万谢! |