This study investigates the response of stock prices and equity options to negative ESG incidents reported by RepRisk for S&P 500 companies between 2006 and 2021, considering the increasing significance of ESG ratings among fund managers and the widespread utilization of financial derivatives by...

In this paper we empirically analyze the pricing and dynamic hedging of barrier options in the local volatility model. It is known that local volatility is not a good description of economic reality. In practice, several ad-hoc modifications of the model exist to make it applicable. One of these...

We compute monthly correlation matrices of 25 global futures markets in four asset classes: fixed income, commodities, equities, fx. Comparing and grouping those correlation matrices leads to distinct «regimes» in time. We can characterize these regimes by futures market returns, finding...

We revisit the discussion of market sentiment in European sovereign bonds using a correlation analysis toolkit based on influence networks and hierarchical clustering. We focus on three case studies of political interest. In the case of the 2016 Brexit referendum, the market showed negative...

In this paper, we construct a pipeline to investigate heuristic diversification strategies in asset allocation. We use machine learning concepts ("explainable AI") to compare the robustness of different strategies and back out implicit rules for decision making.In a first step, we augment the...

From 2004 to 2015, the market perception of the sovereign risks of the euro area government bonds experienced several different phases, reflected in a clear time structure of the correlation matrix between the yield changes. “Core” and “peripheral” bonds cluster in a bloc-like structure,...

In this paper we present a novel and highly flexible method to simulate correlation matrices of financial markets. It produces realistic outcomes regarding stylized facts of empirical correlation matrices and requires no asset return input data. The matrix generation is based on a...