This study investigates the nature of relationship between price and trading volume for 50 Indian stocks. Firstly the contemporaneous and asymmetric relation between price and volume are examined. Then we examine the dynamic relation between returns and volume using VAR, Granger causality,...

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...

This paper investigates the factors that affect the covariance between the federal funds rate and stock returns. I estimate a VAR system and implement covariance decomposition analysis. Most of the covariance between the federal funds rate and stock returns is affected by changes in stock market...

Mit Hilfe von generalisierten Varianzdekompositionen aus Vektorautoregressionen untersuchen wir länder- und kategorieübergreifende Unsicherheits-Spillover-Effekte zwischen den USA und Japan. Dabei betrachten wir sowohl wirtschaftspolitische Unsicherheit (WPU) als auch Finanzmarktvolatilität....

Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional...