The other day I was browsing through TechCrunch looking for inspiration for my new blog and I came across the article “Dow Jones said that Google was buying Apple, and the bots bought it”. Turns out Dow Jones shot some fake news out in the world saying that Google was buying Apple for $9 billion – and the bots bought it. Apple’s stock went up around $2.
Now this made me think, if it is that easy to influence the trading algorithms that run our economy, isn’t it dangerous? What if people want to manipulate it in a negative way? I did some more research and found another article this one was from the Business Insider: “The Pentagon is worried about hackers causing a stock market crash”. Here the author argued that” manipulating stocks higher is a time-honored game that routinely receives kudos from all around” but what happens when hackers try to influence the algorithmic trading in a negative way? What happens when hacks result in stock prices actually falling in a major way? According to the author this is when the Pentagon will intervene with all its power. Right now the Pentagon is working with various players from the stock trading industry “to figure out how hackers could unleash chaos in the US financial system” and how they can act to fight this.
Indeed this is a logical thing to do but to me it’s funny how the Pentagon only intervenes when there is a negative influence on the prices. From an opportunistic point of view I could understand, but is this this correct ethical way? Should governments tolerate everything that brings up stock prices and is thus “good for the economy”? This would mean that players that have the technical knowledge to do so could easily get economic benefit in contrast to people that would not have this. I think the whole industry, especially now that algorithms are running most of it, should get a thorough review on how it is regulated and when it should be intervened. What do you think? Let me know in the comments!
Sources:
http://www.businessinsider.com/pentagon-stock-market-crash-darpa-2017-10?IR=T