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yoghurtsun 发表于 2014-3-17 16:14 ![]()
十分感谢耐心解答!thank you enormously!
不过也还有一些疑问:
Rather say uncomparable as their target position is quite different.
MFE能apply的position, PhD in Finance / Econometrics / Statistics / OR and etc.都能夠apply, 問題是the position really require a skill (and thus pay for it) of PhD or not.
PhD的value在於research, 要其有價值則要apply一些看重research skill的job.
In general, the marginal return on education (in average, from US data, forgot source) suggest that we should study up to Master but not stop at Bachelor or PhD.
投行前台, 除了trading side, 連MFE都不用, 不要說PhD了. Quant trading 就另計了, 不過有用的多數是econometrics / stat + 少量finance, economics theory應該可以無視.
Consulting的話, forgot all about academic stuffs, go to a Master in Management or MBA 之類, 做大類的case study + presentation更實際
其實如果有人未決定PhD定MFE的話, 最好建議(especially for those with good quant background)揀一個足夠mathematical的master in financial mathematics, 這樣一個master degree既可以用來找工作(不過in general good acadmic = not that good career enviornment), 又可以用來作PhD application的跳板. e.g. Waterloo MQF, ETH MQF, Cambridge MPhil Fina, HKUST MAFS, UNSW MSc Fina Math
MFE偏於實用, 多著重coding和modeling等等, 但在stochastic同statistics往往不夠;
而economics反之太多除了PhD才要的economics theory, 和其econometrics有很一部份(microeconomterics part mainly)不是for finance |
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