翻譯 to eng

2008-11-21 6:42 am
預測宏觀經濟表現牽涉很大量的數據及資料,並須運用龐大的數量模式內 ,建立模式 的各項假設及運算,這些都 不是普通投資者甚至普通
的證券商能做到的




一般數據可能無法槺獲得而須採用假設,部份數據的可能性發展有疑.

數據 間關係,會因環境及時勢 發展而改變,所以其預測 須順應客觀環境而不斷修改

回答 (3)

2008-11-21 6:45 am
✔ 最佳答案
Forecast that the macro economic performance involving very massive data and the material, and must utilize in the huge quantity pattern, establishes the pattern each supposition and the operation, these are not the ordinary investor even ordinary securities dealer can do Generally the data is possibly unable to obtain, but must use the supposition, the partial data's possibility development has doubts. The data relates, changes because of the environment and the current situation development, therefore its forecast must comply with the objective environment, but will revise unceasingly
參考: me
2008-11-26 3:03 am
Predict the macroscopical economic manifestation involves a large number of data and materials very, and must use it in the huge quantity way , set up every assumption and operation of the way, all these It is not that ordinary investors are even ordinary
Dealer in securities can accomplish




May the general data be unable? Get but must adopt and suppose , there are doubts in the possibility development of some data .

Relation among the data, know because environment tendency is it change to develop in time, so it is it must comply with objective constant to revise environment to predict
2008-11-25 6:51 am
Involved in the performance of macro-economic forecast is a lot of data and
information, and to use a large number of models, the establishment of the
model assumptions and operations, these are not ordinary investors and even
ordinary
The securities business can do
General Kang may not be able to access the data and assumptions used to be,
part of the data is the possibility of development of the suspect.
The relationship between data, due to environmental changes and
development of the situation in a timely manner, so their projections have to
adapt to the
objective environment and constantly revised


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