Summary
Overview
Work History
Education
Skills
Affiliations
Timeline
Generic

XINYI XU

New York,NY

Summary

An empirical analysis of interactions among Asian stock markets, 2008-2023

  • Select weekly closing stock prices covering the period of January 2008 to November 2023
  • Test the stationarity and cointegration of the stock indices and return series
  • Use Vector Error Correction Model (VECM) to capture the long-term and short-term relationships among cointegrated pairs
  • Apply ARIMA model to the return series and make future prediction


A Statistical Study Of Credit Analysis For Lending Club Loans

  • Selected 14 significantly influential variables and 50,000 observations out of 53 variables and 260,000 observations, by data cleaning methods (missing values and outliers), from public data pool of Lending Club, a peer-to-peer lending platform, through the time period between 2013 and 2014
  • Divided the variables into category variables and numeric variables according to the features of outcomes, then conducted exploratory data analysis to figure out distributions and relationships between the variables
  • Applied statistical classification models (Logistic Regression, Random Forest) to identify high-risk individuals, since the response variable (Loan Status) is binary (Default or Not Default)
  • Evaluated the performance of each model, and concluded that Random Forest model achieved a relatively low error rate while keeping a reasonable false negative rate; As for Logistic Regression model, to choose an optimal threshold is rather a trade-off problem and further studies are needed


Portfolio Theory On Stock Price Analysis

  • Selected stocks for the portfolio and collected closing price data from Yahoo finance
  • Implemented Principal Component Analysis and Portfolio Theory to identify the highly correlated stocks and solve the optimization problem in R (quadratic programming)
  • Computed minimum variance portfolio and tangency portfolio for selected stocks, estimated value-at-risk and expected shortfall, then constructed their confident intervals using bootstrap method


A Study On The Relationship Among Oil Prices, Exchange Rates, Stock Prices, and Interest Rates Using an SVAR approach

  • Applied SVAR model to identify the multi-directional, contemporaneous causality between oil prices and some other macroeconomic variables


Can additional shocks help to explain the US business cycles?

  • Parameterized Expectations Algorithm


A Case Study in Option Valuation in Computational Finance

  • Multilevel Monte Carlo Method

Overview

5
5
years of professional experience

Work History

Adjunct Lecturer

Fordham University, Gabelli School of Business
08.2019 - 06.2021
  • Lectured undergraduate level course Introductory Statistics, Statistical Decision Making, Macroeconomic Analysis
  • Organized, prepared, and revised course material and applied technological options for online and course-related software.

Adjunct Associate Faculty

Columbia University School Of Professional Studies
08.2019 - 05.2021
  • Teaching Assistant in Applied Analytics Program for Graduate level Capstone course Solving Real World Problems With Analytics

Quantitative Finance Women's, Mentorship

Morgan Stanley
02.2020 - 09.2020
  • Learnt from the mentors in the quant field and got advice in financial job markets.

Adjunct Lecturer

Brooklyn College, City University of New York
08.2018 - 12.2018
  • Lectured undergraduate level course Elementary Microeconomics.

Tax Consultant

KPMG
02.2017 - 01.2018
  • Conducted tax health check, tax due diligence work for multi- national corporations, such as Dell, Swarovski, Merck, etc., and gave tax advices on business development in China's market
  • Interviewed clients to obtain additional information on taxable income, deductible expenses and allowances.

Financial Analyst

IBM
08.2016 - 12.2016
  • Global Sales Incentive Center, Conducted incentive measurement to ensure payment accurately and timely validated, analyzed and processed
  • Collected data and developed detailed spreadsheets to identify trends and create revenue, profitability, and expense forecasts
  • Performed complex financial and budget analyses to determine requirements and justify requested funding.

Education

Ph.D. - Economics

The Graduate Center, City University of New York
New York, NY
12.2024

Master of Arts - Statistics

GSAS, Columbia University
New York, NY
02.2016

Bachelor of Science - Mathematics & Applied Math

Hefei University of Technology
06.2014

Skills

  • English, Chinese
  • Python, R, MATLAB, STATA, EViews, MS Office, etc

Affiliations

Member of American Economic Association;

Society of Actuaries/Canadian Institute of Actuaries (EXAM P);

Timeline

Quantitative Finance Women's, Mentorship

Morgan Stanley
02.2020 - 09.2020

Adjunct Associate Faculty

Columbia University School Of Professional Studies
08.2019 - 05.2021

Adjunct Lecturer

Fordham University, Gabelli School of Business
08.2019 - 06.2021

Adjunct Lecturer

Brooklyn College, City University of New York
08.2018 - 12.2018

Tax Consultant

KPMG
02.2017 - 01.2018

Financial Analyst

IBM
08.2016 - 12.2016

Ph.D. - Economics

The Graduate Center, City University of New York

Master of Arts - Statistics

GSAS, Columbia University

Bachelor of Science - Mathematics & Applied Math

Hefei University of Technology
XINYI XU