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PROJECTS

Various projects I have completed 
2 have been published

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APPLE V. MICROSOFT VALUATION

The valuation of Apple's stock vs the valuation of Microsoft's stock. Which one should you buy? My project uses many different methods to measure risk, performance and expected future growth.

Testing

Hypothesis testing is one of statistics most powerful ways to determine the accuracy of a mathematical statement. It is important to know how confident you are in an answer. For this porject, I have achieved a 95% confidence interval

Linear Regression

In today's environment it is important to discover trends and patters. Linear Regression models helped me determine the relationship these firms have with the market industry. How correlated are these stock prices to market fluctuations?

SHOULD I BUY THE DIP?

In August we experienced an 800 point dip in the stock market in a single given day. This project was to test if investors should enter the market after a significant drop in the stock market. Is there a hope of a market correction the next day?

Over 14,000 data points

Big data. It is revolutionizing the way organizations make decisions. Your competitors are probably using big data to plan their marketing stategies. In this day and age, data means money. This project I put together analyzes the movement of equities since the opening of the S&P500 in 1957. It analyzes over 14,00 data points

Timing the Market

Is it possible to buy in and ride a market correction? After examining and filtering through extremely large amounts of data, I have found that you can. My calculations have found that more often than not, the bigger the dip in the market, the bigger chance of a rebound the very next day

RECESSION INDICATOR

I used Bloomberg Terminal to overlay market data. The white line represents the United States Gross Domestic Product. The yellow line shows the Federal Reserves percent chance of the next recession. The red line indicates a past recession in our nation's history. We can draw conclusions based on this data. Perhaps we should be Increasing the percentage of in fixed income in our portfolios.

Using tools to make decisions about the future

Many news outlets love to cry that the sky is falling, but they never have the data to back it up. I was able to use the terminal to find out for myself. The federal reserves prediction of a next recession is almost as high as it was before 2008. Something to be weary of

Identifying what business cylce will be next 

Every healthy market moves in cycles: expansion, peak, recession, depression, and trough. We see that every 10 years or so, the United States experiences a market downturn. The last recession was in 2008, indicating that we are over due 

CRYPTO CURRENCY

I wanted to see if Bitcoin and XRP ( an altcoin ) shared similar market fluctuations. I created a regression model to see if the movements were related. I then ran a 1 sided hypothesis test to determine how accurate my results were

Understanding Trends

Linear Regression models help us find trends in different markets. Having the data allows me to form these models and peice together different industry insights. I found the relationship between Bitcoin and a smaller crypto currency called XRP

Easy and Simple to Use

Crypto currency carry far more risk than stocks, but in return they can provide extremeley larger returns. I was fortunate enough to be able to make significant returns through investing in various different online coins. A 500% return in a single month is very achievable given how volitile these currencies are

MORGAN STANLEY PORTFOLIO

I structured a portfolio by choosing a variety of undervalued stocks. These equities were strategically selected, tracked, and earmarked by analysts at the firm. Our portfolio as a whole has increased in value by 150% in the bast 6 months. The diversified portfolio has achieved a beta of 0, spreading out the risk.

Diversifying 

This portfolio was constructed to have zero systematic risk or, in other words, a beta of zero. A zero-beta portfolio would have the same expected return as the risk-free rate. Such a portfolio would have zero correlation with market movements, given that its expected return equals the risk-free rate or a relatively low rate of return compared to higher-beta portfolios.

Blue Chip

Warren Buffet said it best, "The stock market is a device for transferring money from the impatient to the patient." Most poeple do not realize this, but if you had invested in Apple a year ago, you would have recived a 200% return. Morgan Stanley taught me the best way to structure a portfolio is with blue chip companies who grow surely and steadily. 

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