Financial Analyst investment Analyst Valuation Analyst

XUEWEN WEI

+*. 469-***-****; ************@*****.***; http://www.linkedin.com/in/xuewen-wei; Plano, TX EDUCATION

The University of Texas at Dallas August 2017

M.S., Finance Shanghai Jiaotong Honors Program (selective); Scholarship; Research Assistant Background: B.S., Information Technology Management Advanced MS Excel, R, SQL, C, C#, Java, VBA Programming INVESTMENT EXPERIENCE

UTD SOM Investment Corporation, Richardson, TX, USA 2017 January- 2017 June Financial Analyst Intern https://drive.google.com/open?id=0B0VN62ish-siUF9TSzNOSG5HM0E

Predicted companies’ revenue based on business intelligence applying learning algorithms such as decision tree, deep learning

Estimated companies’ cost of capital using Yahoo-finance Trading data to regress and companies’ bond yield

Discounted companies’ free cash flow and valuated them, which resulted in stock’s fundamental price

Compared companies’ EV/EBITDA multiple with their peers to find undervalued companies

Analyzed and forecasted companies’ investment projects’ cash flow so that calculating their IRR and NPV

Calculated investment projects’ break-even point to decide production volume level

Selected different projects under different scenarios requirements using solver function in MS Excel

Inspected companies’ valuation sensitivity to different capital structure, capital expenditure, interest and tax rate level

Analyzed companies’ growth, operating, debt paying ability and profitability relative to their peers using DuPont Analysis System

Appraised international companies’ cost of capital based on relative market volatility method Communications Bank of China, Peking, China March 2016- July 2016 Investment Intern, Investment Banking https://drive.google.com/open?id=0B0VN62ish-sib3Zjb3JNa0txb0U

Analyzed Asian markets’ Macro-economic and evaluated companies using technical, fundamental analysis, Trading-economic data

Completed an investment analysis report, suggested holding TAL at bid price $116.59 over a long Term, compared with $150 now

Analysis crop production reports to provide commodity futures trading base and predicted US interest spot rate through analyzing 2010-2015 monthly interest spot rates in Wrds database based on Vasicek model, which provided financial futures trading base

Allocated portfolios using portfolio optimization model, calculated portfolios’ return and risk, tested its statistical significance according to clients’ risk exposure and constructed arbitrage portfolios automatically based on events such as Trump tax reform, M&A and so on

Analyzed companies in M&A deals to provide a bid price boundary and assessed leverage buy out deals’ returns of capital investments Nanhua Futures (Hong Kong) Co Ltd, Shanghai, China June 2015 – September 2015 Data Analyst Intern https://drive.google.com/open?id=0B0VN62ish-siOGllVE5DVEZOcWs

Screened for 500+ stocks’ trading data, calculated technical indicators, visualized results and forecasted 500+ stocks’ price trend based on deep learning and mean-reverting strategies automatically within R

Measured and Monitored 500+ stocks social media indicators including Twitter, Yahoo Finance website, Google Finance website, which generated more accurate stock price trend prediction

Executed and Programmed high frequency trading strategies using Momentum, Roll, which dealt with level 2 trading data automatically PROGRAMMING EXPERIENCE https://drive.google.com/open?id=0B0VN62ish-sicGM5bjdpVlIzRzQ

Designed and programmed an account receipt management system in ERP using visual studio 2008 and SQL

Developed an application program similar to Facebook, in Java and created a website to introduce architecture within Dreamweaver

Grabbing commodity data including commodity sales, names of commodity from Taobao official website ACADEMIC ACHIEVEMENT & TECHNICAL SKILLS

Certifications: Securities Practitioner Qualification Certificate, Fund Practitioner Qualification Certificate Security Association China Publications: <Research on Digital Simulation Analysis System of Preventing Urban Fire>

<A Composite System for Stock Price Predicting Composed of Modified GM(1,N) and Optimized SVM>

<Research on the Relationship between Performance of M&A and Top Managers’ Compensation> BI Skills: Neural Network, Deep Learning, Association Mining, decision Tree, Clustering, Classification, Regression using Wrds, CapitalIq, SEC

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