Why do most theorems in maths start by saying “let f(x) be a continuous differentiable function…”? Why do so many theorems in statistics assume a normal distribution? Why is it that in mechanics we tend to speak of small-amplitude oscillations around a position of equilibrium? Why is it that we neglect anything that has “epsilon…
China has made headlines recently when it devalued the Yuan and when its stock markets fell. By mid-July the Shanghai market was down by about 30%. At the end of July another fall of over 8% has been recorded. The stocks of global companies that rely on the Chinese market lost approximately $ 4…
In a turbulent economy, punctuated by destabilizing events, resilience and complexity as the main new factors which are impacting the global economy and driving financial performance. Increasing volatility, complexity and uncertainty are becoming the hallmarks of our times. While the unprecedented challenges affecting the global economy are a source of both opportunities and threats, traditional…
The World’s stock markets form a complex highly interdependent and dynamic network which embraces the entire global economy. This system of systems, comprising over 45000 interacting corporations, provides an instantaneous reflection of the world’s economy and its state of health. As of the end of November, the total value of equities in the 58 major…
Assetdyne analyzes stock market data on a fortnightly basis, measuring and tracking the complexity and resilience of the major US indices. Results are reported here, where it is possible to navigate interactive Complexity Maps of the said indices. We know that an evolving system, such as a biosphere, a society or an economy, becomes progressively…
Before you start to solve a problem (a numerical problem) you should check its conditioning. An ill-conditioned problem will produce very fragile and unreliable results – no matter how elegant and sophisticated solution you come up with it will be vulnerable. Think of a simple and basic problem, a linear system of equations: y =…
The current economic crisis indicates that conventional risk assessment, rating and management techniques don’t perform well in a turbulent and global environment. AAA-rated companies and banks have suddenly failed, demonstrating the limitations of not only risk management techniques but also the need to re-think the expensive and sophisticated Business Intelligence and Corporate Performance Management infrastructure…
Conventional data mining technology has the objective of establishing patterns and rules from large amounts of data by combining such techniques as statistics, artificial intelligence and data-base management. Data-mining and Analytics techniques are supposed to provide managers with an extra edge and to transform data into business intelligence. Have they succeeded? To find the answer…
