Wu Tang-chieh

Wu Tang-chieh (Chinese: 吳當傑; pinyin: Wú Dāngjié) is a Taiwanese politician. He was the Political Deputy Minister of Finance in the Executive Yuan from 2 September 2013 until 20 May 2016.[1][2]

Wu Tang-chieh
吳當傑
Political Deputy Minister of Finance of the Republic of China
In office
2 September 2013  20 May 2016
MinisterChang Sheng-ford
Preceded byTseng Ming-chung
Vice Chairperson of the Financial Supervisory Commission of the Executive Yuan
ChairpersonChen Yuh-chang
Succeeded byHuang Tien-mu
Personal details
NationalityRepublic of China
Alma materNational Chung Hsing University
National Chengchi University
University of Wisconsin

Education

Wu holds a bachelor's degree in finance and taxation from National Chung Hsing University, master's degree in finance from National Chengchi University and doctoral degree in law from University of Wisconsin in the United States.[3]

Financial Supervisory Commission vice chairperson

More fair and friendly Taiwan stock trading

In December 2012, Wu said that the ROC government aims to take measures in the coming year to make stock trading in Taiwan more fair and friendly. He elaborated that there are four plans to achieve the goal, which are increasing market momentum, diversifying quality financial products, cutting the trading costs and increasing international visibility.

With regards to the implementation of stock gains tax which was set to be effective starting on 1 January 2013, Wu said that the tax will not have a major impact on Taiwan's stock market.[4]

gollark: Just because you can describe a task in a sentence or so doesn't mean you can give a description clear and detailed enough to think about programming it.
gollark: Early attempts at AI back in the last millennium tried to create AIs by giving them logical reasoning abilities and a large set of facts. This didn't really work; they did some things, hit the limits of the facts they had, and didn't do anything very interesting.
gollark: They don't even have *memory* - you just train the model a bunch, keep that around, feed it data, and then get the results; next time you want data out, you use the original model from the training phase.
gollark: They don't really have goals, only the training code does, and that goal is something like "maximize prediction accuracy with respect to the data".
gollark: They're big networks which are trained to detect patterns, sometimes very deep ones, in large amounts of data.

References


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