Information Feedback Loops In Stock Markets, Investing, Mathematical And Innovation Trends
It seems that no matter how complicated our civilization and society gets, we humans have the ability to cope with the ever-changing dynamics, find reason in what seems like create and chaos order out of what appears to be arbitrary. We tell you our lives making observations, one-after-another, trying to find meaning – we are able sometimes, sometimes not, and sometimes we think we see patterns which may or not be so. Our intuitive thoughts attempt to make rhyme of reason, but in the finish without empirical evidence much of our theories behind how and just why things work, or don’t work, a certain way can’t be proven, or disproven for example.
In the paper he observed there is an amplification information impact when investment in a stock, or a merger predicated on the amount of information produced. The marketplace information makers; investment banking institutions, consultancy companies, 3rd party industry consultants, and financial updates, newspapers and Perhaps TV sections on Bloomberg News even, FOX Business News, and CNBC – as well as financial weblogs platforms such as Seeking Alpha. This causes a feeding frenzy of both large and small investors to trade on the now abundant information available, whereas before they hadn’t considered it and there wasn’t any real major information to speak of.
In the podcast Professor Itay Goldstein notes that a reviews loop is established as the sector has more information, resulting in more trading, an upwards bias, leading to more reporting and more info for investors. He also mentioned that men and women generally operate on positive information rather than negative information. Negative information would cause investors to avoid them, positive information gives incentive for potential gain.
The teacher when asked also mentioned the opposite, that when information decreases, investment in the sector will too. Okay so, this was the jist of the podcast and research paper. With this known, and the empirical evidence of Itay Goldstein’s, et. PR, information and hype is not accelerated along with the trajectory of the “hype curve” model. Can we better monitor political races by way of information flow-voting models? After all, voting with your dollar for investment is a lot like casting a vote for a candidate and the future.
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