The pattern of information flows between Eurodollar spot and futures markets is examined using a robust two-step procedure. This procedure allows for conditional mean and variance dynamics as well as conditional heteroskedasticity. We find spot rates affect futures data and vice versa. In...

The pattern of information flows between Eurodollar spot and futures markets is examined using a robust two-step procedure. This procedure allows for conditional mean and variance dynamics as well as conditional heteroskedasticity. We find spot rates affect futures data and vice versa. In...

We construct an empirical model for daily highs and daily lows of US stock indexes based on the intuition that highs and lows do not drift apart over time. Our empirical results show that daily highs and lows of three main US stock price indexes are cointegrated. Data on openings, closings, and...

We observe that daily highs and lows of stock prices do not diverge over time and, hence, adopt the cointegration concept and the related vector error correction model (VECM) to model the daily high, the daily low, and the associated daily range data. The in-sample results attest the importance...

We observe that daily highs and lows of stock prices do not diverge over time and, hence, adopt the cointegration concept and the related vector error correction model (VECM) to model the daily high, the daily low, and the associated daily range data. The in-sample results attest the importance...

We use a class of stochastic volatility models with multiple latent factors to investigate the joint dynamics of return, trading volume, and open interest (a proxy for market depth) in currency futures markets. In accordance with theory, the empirical evidence indicates that there is more than...

We examine the comovements between the output indexes of three German sectors (manufacturing, mining, and agriculture) and the three corresponding sectoral stock market indexes. It is found that data with and without seasonal adjustment give mixed results on the long-run interaction between the...

We observe that daily highs and lows of stock prices do not diverge over time and, hence, adopt the cointegration concept and the related vector error correction model (VECM) to model the daily high, the daily low, and the associated daily range data. The in-sample results attest the importance...

We examine the comovements between the output indexes of three German sectors (manufacturing, mining, and agriculture) and the three corresponding sectoral stock market indexes. It is found that data with and without seasonal adjustment give mixed results on the long-run interaction between the...

We observe that daily highs and lows of stock prices do not diverge over time and, hence, adopt the cointegration concept and the related vector error correction model (VECM) to model the daily high, the daily low, and the associated daily range data. The in-sample results attest the importance...