We analyze the law of one price (LoP) based on BigMac and Fortnite prices. We find a positive but less than perfect correlation between the over-/undervaluations of the two indices. While we cannot reject the LoP for the Fortnite data, we find that it does not hold for the BigMac data.

We analyze the law of one price (LoP) based on BigMac and Fortnite prices. We find a positive but less than a perfect correlation between the over-/undervaluations of the two indices. While LoP holds for the Fortnite data, it does not hold for the BigMac data.

We analyze the law of one price (LoP) based on BigMac and Fortnite prices. We find a positive but less than a perfect correlation between the over-/undervaluations of the two indices. While LoP holds for the Fortnite data, it does not hold for the BigMac data.

We analyze the law of one price (LoP) based on BigMac and Fortnite prices. We find a positive but less than perfect correlation between the over-/undervaluations of the two indices. While we cannot reject the LoP for the Fortnite data, we find that it does not hold for the BigMac data.

We analyse Esport data of professional CS:GO teams to shed light on the question of whether diverse teams survive longer. We also control for the prize money as a time dependent covariate. Another focus is on the liability of newness hypothesis.

Fortnite is the most successful video game in terms of revenues generated. Since it belongs to the 'free-to-play games', the company has to optimize the in-game-shop to generate revenues. Product dif- ferentiation is one possibility to optimize the profitability of the game. In this paper, we...

We analyse the business model pattern behind the success of the Fortnite game. A theoretical model is used to examine the conditions where a Freemium strategy is appropriate. We also shed light on the structure of the in-game-shop and we analyse several features from a marketing perspective.