(Versión en Español)
One of the most important aspects of the modern theory of portfolios, work of the famous Harry Markowitz, is diversification. According to that theory, thanks to the diversification, you can reduce the risk (standard deviation, volatility, etc.) of a portfolio. The magic lies within the mathematics which tell us there is a positive relationship between the correlations of the assets and the volatility of those assets. (The correlation tells us the strength and direction of changes between two variables SEE MORE INFO).
For those of you interested, here is the math:
--> This is the corr. coeficient.
In the development of the financial markets worldwide, I suppose, portfolio managers have searched and founded new markets to reduce the risk of their portfolios. Some of these markets could have been the Latin America markets.
One of the most important aspects of the modern theory of portfolios, work of the famous Harry Markowitz, is diversification. According to that theory, thanks to the diversification, you can reduce the risk (standard deviation, volatility, etc.) of a portfolio. The magic lies within the mathematics which tell us there is a positive relationship between the correlations of the assets and the volatility of those assets. (The correlation tells us the strength and direction of changes between two variables SEE MORE INFO).
For those of you interested, here is the math:
--> This is the corr. coeficient.
In the development of the financial markets worldwide, I suppose, portfolio managers have searched and founded new markets to reduce the risk of their portfolios. Some of these markets could have been the Latin America markets.
Let’s see
what our friend, the portfolio manager, could have found constructing a
correlation matrix between several indexes (I decided to use the S&P 500
and some others from LATAM) in 2006. Let’s suppose the manager decided to use
data from 2000 to 2006:
This matrix might look complicated to the non-expert eyes but trust me, it’s easy . The correlation between two assets is the value where the names of the assets cross (for example, the correlation between Argentina´s index and the S&P 500 is 0.254, the correlation between the Mexican and Brazilian stock markets is 0.482, etc.).
Some fund
manager in the United States would have been interested in the Brazilian or
Chilean markets because of their low correlation with the S&P 500 (assuming
our friend, the manager, was invested in the S&P 500).
OPTIONAL: In fact during that period the daily average
return of the S&P 500 was -0.003% with a standard deviation of 1.19%,
meanwhile the average daily return of the Bovespa (Brazilian Index) was 0.06%
with a standard deviation of 1.87% (according to Yahoo! Finance and my
calculations). If the fund manager had invested just 47.02% on the S&P 500
and the rest on the Bovespa the average daily return would have been 0.03% with
a volatility of 1.19%. Et voilà, our friend has
achieved a greater return with the same risk!
But,
surprise! What has happened during the last years? If our friend decides to use
the data of recent years, let’s say from 2006 to now, he would have some
different numbers:
For the convenience of illustrating the difference I decided to put a “+” where the correlation has increased and a “-“ where the correlation has decreased:
Our friend diversifying
the risk using Latin America markets would be sad L. Remember, if the correlation increases
the risk will increase.
One
possible explanation for this increasing correlation is the integration of
financial markets all over the world. In today´s financial markets, negative
news from China have an impact on the S&P 500, as well as on the Brazilian
stock market regardless of the commercial relationships between the countries. Someone with just $100 USD can buy and sell
stocks. The housing sector of the USA can have an impact on the share of an
airport group in Mexico. If this tendency continues it will be harder and harder
to diversify our assets :( .
The other
explanation is that the statistical differences between the correlations are
not significant, the tendency changes… or that I don’t know how to use Excel XD
No hay comentarios:
Publicar un comentario