The investment industry lacks an unified framework for handling derivative instruments in general portfolio management. With the increased use of derivatives, there is a need for a framework that aligns fundamental terminology and concepts. The main challenges with the current practices are...

This paper will give a brief overview of the work of introducing machine learning intelligence in the Kineta e-markets system, to facilitate auto-hedging, smart price engine algorithms and proprietary automatic positioning within the foreign exchange market. In this paper we will give a brief...

In the past year, generative AI, led by Chat GPT by Open AI and Bard, a language experiment by Google, generated tremendous attention amongst the public. Their impact on finance, law and general productivity are difficulty to articulate with words. This paper aims to strengthen the...

Monetary policy has pursued the concept of inflation targeting. This has been implemented in many countries. Here interest rates are supposed to respond to an inflation gap and output gap. Yet, recently monetary policy, in particular in the US after the subprime and the credit crises, the...

Investors can construct commodity benchmarks better aligned with their investment objectives. This is important because common “plain-vanilla” benchmarks, constructed to mimic relative production activity, may be inconsistent with a CIO’s objectives.CIOs can use the Real Asset Sensitivity...

Seemingly infallible arbitrage strategies can fail. When they do, they can take the markets down with them. The near collapse of Long-Term Capital Management parallels the experience of portfolio insurance in 1987

Abstract. This paper describes how an efficient and exact Monte-Carlo simulation of the Hull-White model could be performed. For that purpose the joint conditional distribution of the short interest rate and the discount factor is derived. The proposed approach can be straightforward extended to...