I am Henry Bowers, currently pursuing a Master of Science in Economics at Purdue University’s Mitch Daniels School of Business. I have always been interested in learning data science for finance and economics to make more informed investment decisions. After taking online courses through DataCamp and reading numerous articles on R, I decided to enroll in a capstone course in financial econometrics during my undergraduate studies. Throughout the class, I gained further knowledge about risk management and data visualization of time series. I am developing a growing passion for understanding data science and applying those skills to improve my investment decisions for my portfolio using computational investment strategies with R programming. Skills I have developed include multi-asset portfolio construction, optimization, risk management, and volatility modeling. In my current master’s program, I focus on financial economics and economic policy, combining these areas to gain a deeper understanding of how financial markets influence economic policies and vice versa.
Linkedin: https://www.linkedin.com/in/henry-bowers/
The purpose of this report is to highlight the performance of both developed and emerging equity markets. It will be published on a weekly basis and will include two primary components: a cumulative year-to-date (YTD) performance table and a historical performance summary. To construct the report, I began by referencing Seeking Alpha’s key market country list to identify the ETFs that best represent each country’s equity market. However, the platform lacked several critical performance metrics. To address this, I took the initiative to build a comprehensive dataset using my own methods. After compiling the list of country-specific ETFs, I used the Yahoo Finance API to retrieve adjusted closing price data. This data was then used to calculate relevant performance metrics for each market included in the report.
Not all ETFs had data available before September 4th, 2020; therefore, to ensure consistency across all countries, this date was selected as the common starting point for historical comparisons.
Asset | Annualized_Return | Annualized_StdDev | Sharpe_Ratio | Max_Return | Min_Return | Max_Drawdown | Up_Period_Ratio | Down_Period_Ratio |
---|---|---|---|---|---|---|---|---|
Argentina | 29.36 | 29.89 | 0.98 | 11.56 | -7.70 | 35.13 | 53.80 | 45.63 |
Australia | 10.00 | 19.96 | 0.50 | 9.56 | -9.03 | 24.87 | 50.86 | 47.43 |
Austria | 20.82 | 22.17 | 0.94 | 8.74 | -8.63 | 41.82 | 54.78 | 43.84 |
Belgium | 8.44 | 18.62 | 0.45 | 6.77 | -5.39 | 35.23 | 50.86 | 46.37 |
Brazil | 5.17 | 29.03 | 0.18 | 9.85 | -7.44 | 32.24 | 51.27 | 48.08 |
Canada | 13.42 | 17.49 | 0.77 | 6.38 | -5.44 | 24.81 | 52.16 | 46.69 |
Chile | 8.20 | 28.21 | 0.29 | 11.98 | -11.04 | 37.17 | 52.90 | 45.96 |
China | -2.65 | 29.64 | -0.09 | 19.68 | -11.38 | 60.23 | 49.06 | 50.69 |
Colombia | 9.27 | 23.21 | 0.40 | 7.98 | -8.01 | 43.87 | 50.69 | 47.43 |
Denmark | 9.20 | 20.04 | 0.46 | 5.26 | -7.17 | 36.60 | 50.45 | 49.22 |
Finland | 5.40 | 19.76 | 0.27 | 5.96 | -5.34 | 38.70 | 50.61 | 48.49 |
France | 12.52 | 20.05 | 0.62 | 8.30 | -5.75 | 31.46 | 53.31 | 45.22 |
Germany | 10.91 | 20.70 | 0.53 | 9.03 | -6.56 | 43.44 | 53.14 | 45.39 |
Greece | 30.08 | 25.03 | 1.20 | 9.63 | -7.88 | 30.46 | 53.06 | 45.63 |
Hong Kong | 1.71 | 20.18 | 0.08 | 6.63 | -7.81 | 42.71 | 49.39 | 48.73 |
India | 13.31 | 16.49 | 0.81 | 4.83 | -6.19 | 19.96 | 53.06 | 45.31 |
Indonesia | 0.15 | 20.13 | 0.01 | 7.89 | -8.54 | 44.88 | 48.73 | 48.82 |
Ireland | 12.90 | 21.52 | 0.60 | 7.79 | -6.19 | 40.14 | 54.04 | 44.98 |
Israel | 14.36 | 21.43 | 0.67 | 7.21 | -7.11 | 41.88 | 53.14 | 46.45 |
Italy | 19.01 | 21.40 | 0.89 | 9.89 | -7.85 | 35.25 | 53.71 | 45.06 |
Japan | 7.89 | 17.56 | 0.45 | 7.61 | -5.96 | 33.14 | 51.84 | 47.84 |
Kuwait | 14.45 | 14.01 | 1.03 | 5.58 | -4.46 | 25.37 | 53.71 | 45.71 |
Malaysia | 2.34 | 13.95 | 0.17 | 4.80 | -4.78 | 27.14 | 48.16 | 49.55 |
Mexico | 16.86 | 22.85 | 0.74 | 7.91 | -10.74 | 31.17 | 53.39 | 45.80 |
Netherlands | 11.32 | 22.83 | 0.50 | 9.96 | -5.62 | 43.56 | 52.65 | 46.69 |
New Zealand | -2.74 | 19.27 | -0.14 | 4.76 | -6.06 | 42.44 | 49.39 | 49.80 |
Norway | 8.09 | 22.19 | 0.36 | 9.32 | -9.08 | 33.10 | 53.06 | 46.29 |
Peru | 15.15 | 23.98 | 0.63 | 7.60 | -8.47 | 38.07 | 52.65 | 46.04 |
Philippines | 3.01 | 18.46 | 0.16 | 5.20 | -4.83 | 32.96 | 49.47 | 49.06 |
Poland | 17.89 | 29.86 | 0.60 | 12.11 | -8.62 | 54.21 | 51.84 | 47.02 |
Qatar | 6.46 | 15.17 | 0.43 | 3.77 | -4.70 | 33.17 | 50.12 | 46.04 |
Saudi Arabia | 8.51 | 15.65 | 0.54 | 5.32 | -4.34 | 28.08 | 51.35 | 47.18 |
Singapore | 13.23 | 17.43 | 0.76 | 9.99 | -6.63 | 29.07 | 51.51 | 46.61 |
South Africa | 13.93 | 27.93 | 0.50 | 9.20 | -8.00 | 34.94 | 51.10 | 48.24 |
South Korea | 5.15 | 24.14 | 0.21 | 8.91 | -5.41 | 49.73 | 49.96 | 49.31 |
Spain | 18.91 | 20.59 | 0.92 | 8.49 | -8.10 | 33.91 | 53.55 | 45.47 |
Sweden | 9.44 | 24.06 | 0.39 | 7.83 | -7.96 | 42.33 | 51.76 | 47.02 |
Switzerland | 8.67 | 15.86 | 0.55 | 5.50 | -5.93 | 28.99 | 51.18 | 48.00 |
Taiwan | 14.63 | 21.46 | 0.68 | 9.38 | -6.11 | 38.88 | 53.80 | 45.39 |
Thailand | -0.17 | 19.74 | -0.01 | 12.92 | -6.32 | 40.24 | 48.41 | 51.10 |
Turkey | 15.21 | 36.14 | 0.42 | 21.22 | -18.94 | 40.58 | 49.71 | 49.14 |
United Arab Emirates | 17.81 | 17.80 | 1.00 | 7.49 | -5.30 | 27.47 | 51.84 | 44.65 |
United Kingdom | 14.07 | 17.07 | 0.82 | 5.78 | -7.14 | 24.91 | 53.39 | 45.14 |
United States | 14.99 | 17.58 | 0.85 | 10.50 | -5.85 | 24.50 | 54.45 | 45.39 |
Vietnam | 3.02 | 23.07 | 0.13 | 13.13 | -10.24 | 49.95 | 51.43 | 46.94 |
Data gathered for research has been downloaded from publicly available databases. Historical returns are also not predictors of future performance. This is not a recommendation to buy or sell any security mention. Opinions written here are of my own and not of my current employer.