The Hidden Cost of Social Media: Part 2

Click here to read part one Human trafficking is a growing crime that is part of an estimated $150 billion dollar industry. While the victims of human trafficking recruited through social media are only a small portion of the 16,000 estimated human trafficking victims in the U.S. every year, the number of victims recruited through social media is probably much higher than the confirmed cases. This is due to human trafficking victims’ unwillingness to report to authorities. Unfortunately, human traffickers are using social media not only as a recruitment method but also as a way to distribute explicit content from Continue reading The Hidden Cost of Social Media: Part 2

How Conflict in Ukraine Threatens the World’s Beer Industry

            It is important to understand the social, health, and political externalities as a result of Ukraine’s invasion from Russia. Upon listening to a recent podcast from The Economist, Money Talks: Grain damage, I was struck by the further resulting implications on the rest of the world. Noted specifically in this podcast was the high level of Ukrainian and Russian grain and fertilizer exports, threatening the world’s food supply through agricultural components and livestock feed. The two countries export over 20% of the world’s fertilizer and about 12% of all of the world’s calories, ranking in the top five of worldwide production. Continue reading How Conflict in Ukraine Threatens the World’s Beer Industry

The Hidden Cost of Social Media: Part One

The world has never been more connected than it is now. With over 3.7 billion users of social media, so many functions of the world that used to take place in person have shifted online. Through social media, users find community, build relationships with virtual strangers, and obtain jobs. In fact, social media is so widely used that it has become a popular tool for human traffickers. Social media is not authentic. Instead, social media allows users to present any version of themselves to the world, no matter how false that presentation is. Because social media allows users to hide Continue reading The Hidden Cost of Social Media: Part One

Economics of NFT’s

NFT’s burst into the public’s awareness in the last few years; however, they have been prevalent for close to a decade. They have created much speculation around its growth, which led many to be confused as if it is something one should buy as the public has continued to see people make tens of thousands of dollars in minutes or become a millionaire overnight. Many people lack awareness around many of the variables in this complex equation, such as the blockchain, how NFTs work, what makes an NFT valuable, and why they are not like any other economic market? One Continue reading Economics of NFT’s

How to Trade (like a Kindergartener)

There is an infamous book referenced often in my life, having a mother as a devoted kindergarten teacher. And, truly, I live by the words of author Robert Fulghum in that All I Really Need to Know I Learned in Kindergarten. Walking around a Kindergarten classroom is not too far off what I imagine it’s like on the ground of the New York Stock Exchange: bustling individuals running back and forth, disorderly papers with scribbles on the margins, shouting over desired items, and manipulating the market (teacher) for a little extra playtime. Maybe the NYSE could learn a few things from Continue reading How to Trade (like a Kindergartener)

Modeling a Risk-Averse Investor in the Stock Market Pt. 2:

*This is just a continuation of the first blogpost titled “Modeling a Risk-Averse Investor in the Stock Market Pt. 2”. * Finding an Upper Bound for our Heuristic: To approximate the upper bound, let’s take J –> ∞ and not include the investment# 1 case as it is a special case then we have: Above, we shifted the index of r by 1. It now has to have an initial value of r = 2 insuring the first-rate equals ½. We can make another table to intuitively understand what this represents:   ROI based upon the period we invested in Continue reading Modeling a Risk-Averse Investor in the Stock Market Pt. 2:

Modeling a Risk-Averse Investor in the Stock Market Pt. 1:

Suppose someone wants to invest in the stock market, how would you approach modeling an individual investing in this asset class? The particular asset class at hand here is stocks. We will make intuitive assumptions about the stock market and how a risk-averse individual operates in the stock market. Then, we will try to transform said assumptions to make a simple heuristic. This heuristic will then generate a numerical value which we will describe in terms being between an upper and lower boundary. Let’s make the assumptions Creating the Assumptions: ROI on stocks to diminish overtime due to increasing market Continue reading Modeling a Risk-Averse Investor in the Stock Market Pt. 1: