Correlation Between Nigerian Stock and Budapest

Can any of the company-specific risk be diversified away by investing in both Nigerian Stock and Budapest at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Nigerian Stock and Budapest into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Nigerian Stock Exchange and Budapest SE, you can compare the effects of market volatilities on Nigerian Stock and Budapest and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Nigerian Stock with a short position of Budapest. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nigerian Stock and Budapest.

Diversification Opportunities for Nigerian Stock and Budapest

0.45

Correlation Coefficient

Nigerian Stock  Budapest

Very weak diversification

The 3 months correlation between Nigerian and Budapest is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Nigerian Stock Exchange and Budapest SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Budapest SE and Nigerian Stock is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Nigerian Stock Exchange are associated (or correlated) with Budapest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Budapest SE has no effect on the direction of Nigerian Stock i.e., Nigerian Stock and Budapest go up and down completely randomly.

Pair Corralation between Nigerian Stock and Budapest

Assuming the 90 days trading horizon Nigerian Stock is expected to generate 25.81 times less return on investment than Budapest. But when comparing it to its historical volatility, Nigerian Stock Exchange is 2.62 times less risky than Budapest. It trades about 0.01 of its potential returns per unit of risk. Budapest SE is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  8,106,668  in Budapest SE on January 8, 2025 and sell it today you would earn a total of  462,783  from holding Budapest SE or generate 5.71% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	96.92%
Values	Daily Returns

Nigerian Stock Exchange  vs.  Budapest SE

Pair Trading with Nigerian Stock and Budapest

The main advantage of trading using opposite Nigerian Stock and Budapest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nigerian Stock position performs unexpectedly, Budapest can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Budapest will offset losses from the drop in Budapest's long position.

The idea behind Nigerian Stock Exchange and Budapest SE pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.