As a quantitative researcher, your main goal is to find new financial edges. In this article, we will show an overview of the pipeline for designing alpha-generating investment strategies, with associated python code as usual. Here are the main steps that will be presented. Investment rationale Data

Imagine you are an European insurer. One of your funds is an equity portfolio of EMU stocks. Under Solvency II framework, you might want to reduce your Solvency Capital Requirement (SCR) thanks to the use of derivatives to hedge some of your equity risk. However, due to your size, the only

As a portfolio manager or as a portfolio construction analyst, the most usual way to manage a fund is to elaborate a Strategic Asset Allocation (a.k.a. “SAA”), that is reviewed on a mid or low frequency, on which PM or researchers add their tactical views, i.e. a Tactical Asset Allocation

While portfolio optimization is well known in the Equity space, in the Fixed Income industry, the subject is less discussed although it has very specific needs and it can be more complex compared to its Equity counterparts. One key difference between the two of them is the trading lot size. In

Rebalancing portfolios is an important event in the life of the portfolio manager, whether we talk about the timing or the degree of the rebalancing, i.e. the portfolio turnover, this is a sensitive operation. As well as the first one is important to avoid bad timing market effects, the second one