Markets are moving together again, but the drivers behind this shift point to deeper structural changes. Learn how forces ...

We develop a new algorithm that allows us to compute pairwise-correlation sensitivities in a Monte Carlo framework by modifying only one trajectory at a time, resulting in a significant decrease in ...

When it comes to constructing an investment portfolio, “negative correlation” is something of a holy grail. Diversification, investors are told, is about combining assets that behave differently. You ...

I am using v2.6.45 but I have replicated the issue in the latest build 2.7.12. When right-clicking on a correlation matrix table and choosing to copy it, the pasted result in Word is misaligned ...

As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...

c) after eliminating the 1’s on the diagonal, derive the pair-wise Pearson correlation between all returns applying Equation (4). The result is shown in the classical correlation matrix in Table 1.

Not all alternatives offer the same diversification benefits—and even when correlations look high, the degree of market sensitivity makes a big difference here. In our recently published 2024 ...

Understanding protein sequences and how they relate to the functions of proteins is extremely important. One of the most basic operations in bioinformatics is sequence alignment and usually the first ...