Yichen Tang

Disciplined finance intern looking for an opportunity to further their education and increase their practical experience in financial services. Expertise in quantitative data processing and charting. Excellent report drafting and monthly statement analysis skills. Flexible and diligent, willing to listen, learn and work in a team.

• Age: 23
• Gender: Male

09/2021 - 12/2021, The correlation analysis of second-hand house prices in Haidian District, Beijing, was conducted on more than 300 second-hand houses for sale in Haidian District, Beijing, in September 2021, and the correlation between the size of the property, the age of the house, the geographic location, and the distance to shopping malls, hospitals, schools, and other important facilities was formulated, and the correlation of the variables on the prices of second-hand houses was explored through the application of the regression analysis, linear and quadratic fitting methods. The correlation of second-hand house prices is explored by applying regression analysis linear, quadratic fitting, etc., and the purchasing habits of the second-hand house market and the factors that customers value the most in purchasing are analysed. In addition, I have analysed the trends in house prices for a number of properties over the period 2019-2021, and analysed which factors determine a property's upside and ability to retain value.

03/2022 - 06/2022, Based on the GARCH model, the volatility of China-US currency exchange rate is studied, using R language based on the GARCH model, the monthly average exchange rate of the US dollar to the Chinese yuan from January 1981 to April 2021 is studied, and the volatility and impact of China-US currency exchange rate is analysed macroscopically based on its time series chart and historical background. Subsequently, its autocorrelation characteristics are analysed using autocorrelation and partial autocorrelation diagrams, and then the volatility is portrayed according to the ARCH effect and combined with different characteristics of the GARCH-type models, and finally the above models are combined to make forecasts of the exchange rate in the next five years. After the test in the second half of 2022, it is found that the real exchange rate volatility is highly similar to my prediction.