Quantitative Analyst
for a FinTech investing platform. This platform aims to offer clients a one-stop online investment solution for their retirement portfolios that’s both inexpensive and high quality. (Think about Wealthfront (Links to an external site.) or Betterment (Links to an external site.)). To keep the costs low, the firm uses algorithms to build each client's portfolio. The algorithms choose from various investment styles and options.
You've been tasked with evaluating four new investment options for inclusion in the client portfolios. Legendary fund and hedge-fund managers run all four selections. (People sometimes refer to these managers as whales because of the large amount of money that they manage). You’ll need to determine the fund with the most investment potential based on key risk-management metrics
: the daily returns, standard deviations, Sharpe ratios, and betas.
👨🏿⚖️click here to understand how Quantitiave analysis help businesses
- Analyze the Performance
👨🏿⚖️Analyze the data to determine if any of the portfolios outperform the broader stock market, which is the S&P 500
👨🏿⚖️This is 4 Fund Porfolio including S&P500
We can infer that no porfolio signifcantly outperformed the broader stock market
- Analyze the Volatility
👨🏿⚖️Analyze the volatility of each of the four fund portfolios and of the S&P 500 Index by using box plots.
👨🏿⚖️ Why do we use Box plot ? click here
💡Most volatile is plot with the
greatest spread
Least volatile is plot with thesmallest spread
- Analyze the Risk
👨🏿⚖️Evaluate the risk profile of each portfolio by using the standard deviation and the beta
Standard deviation
Rolling Metrics
👨🏿⚖️rolling metrics are good for start to end dates click here to learn more
On a 21 day rolling period there was no porfolio risk more than S&P500
- Analyze the Risk to Return
Risk to Return
Sharp Ratios
📈Click Risk to return or Sharp Ratio to learn more
Sharp ratio Bar Graph
📈 Graphs tell us a lot information click here to learn more on when to use certain graphs
- Diversify the Portfolio
👨🏿⚖️evaluate how the portfolios react relative to the broader market
👨🏿⚖️Tiger global has less sensible movement then Berkshire we can can visual see the difference
📈Tiger global is the recommended portfolio for fund offerings compared to Berkshire
As of 5/4/22
PYTHON 3.10 click here
PANDAS click here
PATHLIBS click here
JUPYTER LAB click here
👨🏿⚖️install zip downloand or clone
click here for zip file
Click here to visit GITHUB for CLONE
Open to Experiment
BY:ROBERT SMITH
CREDIT: UC BERKELEY
EMAIL - [email protected] for Colloboration
Risk management and portfolio diversification are two key aims of quantitative analysis.Metrics like the variance, beta, and rolling beta, can be calculated per portfolios. The purpose will be to determine the volatility of the portfolios relative to the market, as represented by the S&P 500. By finding the beta, you’ll be able to assess the risk profile of each portfolio.
📈Quantitative Analyst made simple with pandas