This study examines investor sentiment's impact on stock market liquidity and volatility using deep learning and TVP-VAR models.
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Study examines dynamic relationship between BRICS stocks and cryptocurrencies.
Study measures risk spillovers between US and China's agricultural futures markets.
This study analyzes dynamic connectedness in global supply chain infrastructure portfolios, identifying key risk factors and extreme events.
Drawing on recent contributions inferring financial interconnectedness from market data, our paper provides new insights on the evolution of the US financial industry over a long period of time by using several tools coming from network science. Following [1] a Time-Varying Parameter Vector AutoRegressive (TVP-VAR) app…
This paper analyzes how banking risks spread through sentiment and policy shocks.