This article was first Published in Hindu
BusinessLine on 25th November, 2012. Co-author: Khemchand H. Sakaldeepi
http://www.thehindubusinessline.com/features/investment-world/market-watch/will-social-media-give-birth-to-the-next-warren-buffet/article4130565.ece
While
taking a hard look at the evolution of human civilisation one cannot help but
notice how the financial markets indicate our evolution more than anything
else.
To
quote Prof. Niall Ferguson of Harvard University, in his book “The Ascent of
Money”, “financial history is the essential back-story behind all history”.
It
is a well know fact that every bull - bear run is largely correlated with
something major happening in the world.
The
invention of electricity, use of small motors that power home and kitchen
appliances, the advent of television and computers, etc. have all impacted how
financial markets behave. These events have changed how the world is connected
and does business, for good. Today the biggest driver in the way we connect and
do business is social media.
Any
student or practitioner of finance would have come across the term “Efficient
Market Hypothesis (EMH)”. It essentially says that the stock market is
“informationally efficient”, that is, the current prices reflect all the
available information. Flow of information is one of the most important
ingredients in making the markets efficient.
While
EMH is one of the most profound theories in the history of finance, of late, it
is also the most disproved.
The
recent global financial crisis has further raised questions about the
rationality of the EMH. Warren Buffet argues that the preponderance of value
investors among the world’s best money managers rebuts the claim of EMH
proponents.
Similarly,
former Federal Reserve Chairman, Paul Volcker said that it’s “clear that among
the causes of the recent financial crisis was an unjustified faith in rational
expectations [and] market efficiencies”.
In
fact there are many investors who scout for opportunities (read:
inefficiencies) with the changing business environment and capitalise on
information advantage.
Traders
at Wall Street are known to use Flash Trading - which allows certain market
participants to see incoming orders to buy or sell securities very slightly
earlier than the general market participants, typically 30 milliseconds, in
exchange for a fee.
Lately,
some of the major financial institutions are latching onto the fact there might
be something to the information that is available in social networks such as
Facebook, Twitter, Blogging sites, etc.
For
instance, a research done by Bollen et. al. (2011), published in the Journal of
Computational Science, looked at around ten million Tweets posted between March
and December of 2008 to see if the micro blogs could be used to predict the
market.
The
authors sorted the Tweets into different indices – calm, alert, sure, vital,
kind and happy – and compared them to the market. The researchers found that
the calmness index can predict with 87 per cent accuracy whether the Dow Jones
Industrial Average goes up or down for a time horizon between two and six days.
Certain
proprietary terminals have, over the past few years, kept various traders
informed with live new feeds. They, however, have not come close to creating a
way to instantaneously monitor the pulse of the world and observe the stream of
human consciousness. The news regarding the death of Osama Bin Laden first
entered the public sphere through a tweet and a tool called DataMinr was able
to spot this with just 19 tweets on the subject.
The
company then issued a signal to their clients, alerting them to this important
piece of information. It would have been over 20 minutes before that story
appeared on traditional news sites.
Access
to a data stream that can beat traditional media sources by over 20 minutes
requires no explanation as to its value for traders and investors. Speed
matters.
It will
just be an understatement to say that there will be an increasing relation
between social media and finance. Traders and fund managers are relying on
social signs and sentiment analysis to base their decisions on.
There
is no doubt that technologies are improving and challenging the finance and
banking industry. In the language of Analytics, the more data you have the
better your decisions are and better is your competitive advantage. And social
media can do just that.
So
the point to note here is that in this era of Social Networks, it has become
essential for any budding investor to be able to analyse the social data if
she/he wants to “get the pulse of the market”.
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