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We propose a Conditional Autoregressive Wishart (CAW) model for the analysis of realized covariance matrices of asset returns. Our model assumes a generalized linear autoregressive moving average structure for the scale matrix of the Wishart distribution allowing to accommodate for complex...
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instead of prices. Like, conditional volatility-based estimation uncovers evidence of mean reversion in univariate analysis as … between cryptocurrencies prices and stock indices. Surprisingly, a different picture emerges on using conditional volatility … expected. There is some evidence of cointegration on volatility grounds between cryptocurrencies and emerging stock market …
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Using monthly and quarterly cross-sectional dispersion in firm level earnings news as a proxy for investor uncertainty about the implications of current aggregate earnings for future discount rates, I find that higher investor uncertainty leads to a lower stock market reaction to aggregate...
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