Mutual funds industry has been sought by French politicians as mediation between the popular savings and company’s investments through the financial markets. Questioning the link between finance and industry requires analyzing the effectiveness of this mediation. This article intends firstly...

This article adopts the asymmetric DCC with one exogenous variable (ADCCX) model developed by Vargas (2008), by updating the concept of ‘volatility surprise’ to capture cross-market relationships. Current methods for measuring spillovers do not focus on volatility interactions, and neglect...

This paper proposes a new empirical methodology for computing a cross-market index – coined CMI – based on the Factor DCC-model. This approach solves both problems of treating high-dimensional data and estimating time-varying conditional correlations. We provide an application to a...

Attracting long-term investors from the private sector or in public-private partnerships for stable long-term investment in the innovative sectors and industries needed to generate sustained growth is crucial. Long-term investors want assets that generate regular cash flows, often linked to...

Exchange Traded Funds (ETF) are designed to track a benchmark. ETF facilitate asset management and contribute to reduce management fees and transaction costs, they are traded like stocks at current price on continuous markets and meet an increasing success. Initially, anETFwas a stock...

This paper proposes a new empirical methodology for computing a cross-market volatility index – coined CMIX – based on the Factor DCC-model, implemented on volatility surprises. This approach solves both problems of treating high-dimensional data and estimating time-varying conditional...

This article proposes a new empirical methodology for computing a cross-market volatility index - coined CMIX - based on the Factor-Dynamic Conditional Correlation (DCC) model, implemented on volatility surprises. This approach solves problems in treating high-dimensional data and estimating...