Ben Amar Amine, Bouattour Mondher, Bellalah Makram, Goutte Stéphane
Africa Business School, Mohammed VI Polytechnic University, Rabat, Morocco.
Excelia Business School & LGTO, University of Toulouse, France.
Financ Res Lett. 2023 Jul;55:103853. doi: 10.1016/j.frl.2023.103853. Epub 2023 Apr 7.
Using the TYDL causality test, this paper attempts (i) to investigate the existence of among a large spectrum of financial markets during recent stress and stress-free periods and (ii) to propose a new approach of portfolio management based on the minimization of the causal intensity. During the COVID-19 crisis period, the analysis not only reveal a tripling of the causal links between the markets studied, but also a change in the causal structure. Beyond the initial impact of the COVID-19 crisis on financial markets, policy interventions seem to have helped in reassuring market participants that the further spread of financial stress would be mitigated. However, the Russian-Ukrainian conflict, and the high degree of uncertainty it entailed, has again exacerbated the interdependencies between financial markets. In terms of portfolio analysis, our minimum-causal-intensity approach records a lower (respectively higher) reward-to-volatility ratio than the Markowitz (1952 & 1959) minimum-variance traditional approach during the pre-COVID-19 (respectively pre-war) period. On the other hand, both approaches, the one we propose in this paper and the minimum-variance approach, record negative reward-to-volatility ratios during crisis periods.
运用TYDL因果关系检验,本文试图:(i)研究在近期压力期和无压力期,众多金融市场之间的[此处原文缺失相关内容]是否存在;(ii)基于因果强度最小化提出一种新的投资组合管理方法。在新冠疫情危机期间,[此处原文缺失相关内容]分析不仅揭示了所研究市场之间因果联系增加了两倍,还显示了因果结构的变化。除了新冠疫情危机对金融市场的初始影响外,政策干预似乎有助于让市场参与者放心,金融压力的进一步蔓延将得到缓解。然而,俄乌冲突及其带来的高度不确定性,再次加剧了金融市场之间的相互依存关系。在投资组合分析方面,在新冠疫情前(分别是战前)时期,我们的最小因果强度方法所记录的风险回报比低于(分别高于)马科维茨(1952年和1959年)的最小方差传统方法。另一方面,在危机时期,本文提出的方法和最小方差方法所记录的风险回报比均为负。