When I recently watched some trailers of upcoming cinema movies I was wondering what the number of Youtube views (or also other properties, i.e. reviews) can tell about the success of the movie. For example, the official trailer of the Marvel movie “Black Panther” has about 33 million views at the moment. Black Panther was released on 2018/02/15 in the US and is as of yet the by far most successful movie of 2018 with more than 1.1 billion USD gross worldwide. By way of comparison the official upload of the first trailer of upcoming “Avengers: Infinity War” counts now 156 million views. So, it seems reasonable to expect an even higher turnover for this one (but surely not 4.7 times as big) and thus a pretty large amount of money for Disney. Therefore, it is interesting to investigate (1) what drives the Box Office of a movie, (2) what methods are available to get a forecast and (3) whether there is a obvious connection to the performance of the producing company.
Not only since the recent mega deals of Neymar (~ 220 Million Euro), Coutinho (~ 160 Million Euro) or Dembele (~ 140 Million Euro) the transfers between the European top clubs in football generate extensive media coverage. Supposing this market is a closed system, these incomes should be taxed and reinvested. While the first is beneficial for the whole country, the latter is beneficial for smaller clubs since they can sell young players for higher prices. So high prices and high player salaries should not be a problem, like Zlatan Ibrahimovic stated when entering the PSG squad.
Almost a year ago, having my laptop and a sleeping bag in my backpack, I attended an AI-Hackathon in Germany. Right after the kick-off meeting at 9:00 AM I teamed up with two UX Designers and one Business Developer. We immediately started brainstorming to identify a potential project using open data and AI. Our first idea was to find a new particle in the CERN data or new physics. However, we dropped that idea real quick and decided to build a service for visually impaired people. The idea was basically to create an audiobook from any video content. Usually, Hackathons often aren’t long enough to create something entirely from scratch. Nevertheless, as I was working with Deep Learning models for quite some time, it wouldn’t take too long to recycle a couple of thousands line of code and wrap it around some video feed. Given my professional experience, my task was to develop the back-end of a minimalistic prototype within 24 hours while my teammates were focused on the user interface, presentation, and a bulletproof business case.
The elo rating system is a by Aprad Elo created system for calculating relative skill levels in games such as chess or video games. Although this system couldn’t establish its implementation in many other forms of sport, there are several websites publishing these elo rankings (e.g. Word Football Elo Ratings).
The elo rating number is based on pairwise comparisons. Players‘ ratings are not measured absolutely, but rather depend on their own rating, the rating of their opponents and the results of the game.
In portfolio theory we teach students that investing in different assets improves the performance of portfolios due to the diversification effect. This effect works best if the correlation between assets is low or even negative.
Unfortunately, the correlation between assets, especially stocks, is quite high nowadays making it difficult to benefit from diversification. One asset being highly negatively correlated with the stock market is volatility. The most famous volatility Index is the VIX® Index which “is a key measure of market expectations of near-term volatility conveyed by S&P 500 stock index option prices.” The correlation between the VIX and the S&P 500 is about -0.74 from the beginning of 2007 until today. So, it might be a good idea to add the VIX to your portfolio because of diversification, right?