New technology companies are changing financial valuation

28

September

2019

5/5 (1)

$ 5.2 billion loss. That is the loss that Uber suffered in the last quarter. Nevertheless, the company has a market capitalization of 50 billion dollars (Uber, 2019). How is it possible that a company with such high losses can be worth so much?

In the past, the value of a company was estimated based on the discounted future cash flows. However, this is becoming increasingly difficult with the emergence of new technology companies recording high losses. This is due to the fact that many of the new technology companies are not looking for quick profits, but for user base growth to achieve economies of scale. Uber is a prime example of this scenario, the company incurs large losses every quarter, but is growing their user base remarkably fast with the use of network effects. In the case of network effects the two groups on a platform are attracted to each other. Uber benefits from two sided network effects, in which the platform’s value to any given user largely depends on the number of users on the network’s other side. Eventually margins will improve as users will pay more for access to a bigger network (Eisenmann, Parker, & Van Alstyne, 2006). Even though this all sounds great in theory there is still a lot of disagreement about the value of Uber. The CEO of Uber compares itself with Amazon, a company that also didn’t make a profit for many of its early years. Stating that there are many ways to profitability for Uber in which some are more attractive than others, such as autonomous driving, freight transportation and the delivery industry (‘Uber’s Khosrowshahi Sees Path to Profitability Despite Bumps in the Road’, 2019).

With the emergence of many such companies, new ways of evaluating these companies are being found. A famous finance professor, Aswath Damodaran, has done research into this subject and claims that many of the old finance techniques can still be applied to companies such as Uber, Netflix and Amazon. However, it is important for companies to add their total customer numbers to their financial reporting to correctly value the business. In this new valuation method the business value is estimated based on the discounted cash flows per user and the costs associated with obtaining an extra user (Damodaran, 2018).

Although nobody knows how Uber will eventually find its way to profitability, it has at least turned the transportation business upside down. Furthermore, new techniques are found to evaluate these disruptive and fast-growing companies, which creates new challenges in the financial world.

References

Damodaran, A. (2018). Going to Pieces: Valuing Users, Subscribers and Customers. Subscribers and Customers (May 23, 2018).

Eisenmann, T. R., Parker, G., & Van Alstyne, M. W. (2006). Strategies for two sided markets. Harvard Business Review, Vol. October.

Uber. (2019). Quarterly report 2019. Retrieved from
https://www.sec.gov/ix?doc=/Archives/edgar/data/1543151/000154315119000009/fy2019q2financialstate.htm

Uber’s Khosrowshahi Sees Path to Profitability Despite Bumps in the Road. (2019, August 29). Retrieved from
https://www.bloomberg.com/news/videos/2019-08-29/uber-s-khosrowshahi-sees-path-to-profitability-despite-bumps-in-the-road-video

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How China’s social credit score is creating a dystopian society.

10

September

2019

5/5 (6)

The emergence of new technologies has brought much prosperity and progress to the world, but new dangers have also emerged. Artificial Intelligence is an example of such a technology. Advances in facial recognition can now be used to detect criminals more quickly, but it can also be used to keep a close eye on the population and punish unwanted behavior. The collection of data and the use of data analytics has provided new insights into every industry, but it can also be used to create a large profile of every individual.

The dangers of technology are often skipped, but China shows that it can indeed be exploited. In 2014, China launched a Social Credit Score, this system collected a large amount of data with the help of companies such as Alibaba and Tencent. This data is then used to create a profile of its citizens, rewarding good behavior and punishing bad behavior. In 2020 everyone must be included in the system, with each citizen being assigned a score. Freedom of expression is thereby increasingly endangered, if your social credit score is too low, it is even possible to be blacklisted. This means that you can no longer use certain services, such as buying airline tickets, taking the train, or taking out a loan. This can lead to the emergence of social classes, in which one only deals with citizens with comparable social credit scores. Ant Financials is another example of the dangers of data collection. The company has added a new service to the popular Alipay app, in which every person is assigned a credit score. This score is not only determined by your financial behavior, but also based on your hobbies and friends. If your friends have a low financial score, this will have a negative impact on your own score and playing video games will also be labeled as negative behavior.

At present, opinions are still divided as to the extent and the danger of such a system, but I think it will create a world where everything is controlled by an all-seeing eye and the freedom to think and do is limited.

References

Brynjolfsson, E., & Mcafee, A. (2017). The business of artificial intelligence: what it can and cannot do for your organization. Retrieved from
https://hbr.org/cover-story/2017/07/the-business-of-artificial-intelligence

Kobie, N. (2019). The complicated truth about China’s social credit system. Retrieved from
https://www.wired.co.uk/article/china-social-credit-system-explained

Persson, M., Vlaskamp, M. & Obbema, F. (2015). China rates its own citizens – including online behaviour. Retrieved from
https://www.volkskrant.nl/nieuws-achtergrond/china-rates-its-own-citizens-including-online-behaviour~b4c0ae0e/?referer=https://en.wikipedia.org/

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