The conviction of the former head of Greek statistics a few months ago should open the eyes of global investors to the risk of emerging
markets (EM) economic data.
Mr. Andreas Georgiou is accused of being difficult to work
with, and presents economic data without negotiation and approval from the
Greek government.
The creditors and academics criticize the actions of the
Greek government that punish Mr. Georgiou because Greece is considered to have
blamed Mr. Georgiou solely for the errors of economic policy taken by the New
Democracy party.
Investors should be
aware, that events occurring in Greece can occur in any country. Especially in developing
countries or emerging markets. Therefore, investors should examine more deeply the
economic data presented by the government.
In my opinion, at least there are some things that make
economic data in developing countries become less valid.
The first is the lack of supporting economic data devices. The
process of collecting data to get accurate output is a tiring and costly job,
especially in some countries that have more challenging conditions. A country
needs to equip and finance this data collection process well. And this of course requires a lot of money. If the government is not seriously committed in this matter, do not rule out the possibility that the economic data presented is not accurate.
The second is the government’s deliberate intent, for the
sake of demonstrating successful government performance so that the governance
can be re-elected.
The third is the absence of counter-institution that verify
the accuracy of the data presented by the government. For some cases in developed
countries, many institutions are developing statistical calculation methods for
their own purposes. Inaccurate data from government can be detected through
inconsistencies with other data measured by other institutions. The presence of rich institutions in developed countries (hedge funds, brokers, etc) allows for such a process of re-examination.
Government economic data is very important, because it is
often used as a reference for business and investment decisions. Although it is
impossible to present 100% accurate economic data, at least the margin of error
should be kept as small as possible.
Some examples of consequences of economic data inaccuracy are:
Some examples of consequences of economic data inaccuracy are:
- The occurrence of wrong
economic decisions. For example: if the inflation data presented by the
government is much lower than the reality, then the workers will suffer
because the salary adjustment is much lower than real inflation, which means their purchasing power slumped.
- The price of assets is
wrong. Because the inflation data presented is low, the risk-free-assets
yield is low. This risk-free-assets yield is the benchmark for other
assets, including the price of corporate bonds and stocks. Artificial
inflation data leads to high overall asset prices, and can trigger an
assets bubble in the long term.
I am not suggesting that investors do not trust all EM economic data, but for investors to see EM economic data with a grain of salt. For those who are smart will carefully analyze the data before making economic decisions. In some countries, adjustments to the data are still required. Alternatively, investors should demand a higher margin of safety.
To check the status of countries, you can start from: https://en.wikipedia.org/wiki/Emerging_markets
Disclaimer: This article is not a recommendation to conduct transactions on the intended securities. Any consequences arising from this writing are beyond the responsibility of the author.
Disclaimer: This article is not a recommendation to conduct transactions on the intended securities. Any consequences arising from this writing are beyond the responsibility of the author.
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