Showing 61 - 70 of 177
This study exploits a unique dataset to determine the relative contribution to price discovery of order flow originating from geographically dispersed ASX servers. It is found that the transactions of traders on the Sydney, Chicago and London servers have a significant impact on price...
Persistent link: https://www.econbiz.de/10013113050
In their seminal Journal of Finance article, Miller, Muthuswamy, and Whaley (MMW) [1994] document that the observed mean reversion of changes in the basis of cash and stock index futures prices is likely illusory. MMW use a simple time-series model to suggest that the apparent mean-reversion in...
Persistent link: https://www.econbiz.de/10012835132
This study examines whether changes in the frequency of market clearing or changes in trading hours on competing exchanges that use different auction systems affect the volatility of futures prices. In particular, this study exploits a natural experiment in the frequency of market clearing of...
Persistent link: https://www.econbiz.de/10012835134
This study examines the impact of changes in data feed pricing schedules on the price discovery between competing venues, as espoused by Cespa & Foucault (2014). We utilize three exogenous events stemming from a staggered increase in the data feed price that transpired on the Chicago Mercantile...
Persistent link: https://www.econbiz.de/10012841242
Persistent link: https://www.econbiz.de/10012817888
This paper investigates daily and intraday properties of the VIX and its predecessor the VXO. Sampling data at a one-minute frequency, we document that both the VIX and VXO display a negative drift intraday. While this finding is expected in the VXO, given its constant 30-day maturity at a daily...
Persistent link: https://www.econbiz.de/10012977565
The Chicago Board Options Exchange (CBOE) introduced the CBOE Volatility Index (VIX) in 1993. The index has come to act as the benchmark for stock market volatility and, more generally, investor sentiment. The VIX has proven to be very useful in forecasting the future market direction especially...
Persistent link: https://www.econbiz.de/10013059831
Housing prices, like the prices of other speculative assets, contain a mix of both small and large changes (i.e., jumps). We apply a jump-GARCH model to monthly Case-Shiller housing price indexes of twenty cities in the U.S. during the period January 1991 through December 2011. We document the...
Persistent link: https://www.econbiz.de/10013017123
Housing prices, like the prices of other speculative assets, contain a mix of both small and large changes (i.e., jumps). We apply a jump-GARCH model to monthly Case-Shiller housing price indexes of twenty cities in the U.S. during the period January 1991 through December 2011. We document the...
Persistent link: https://www.econbiz.de/10012992311
Persistent link: https://www.econbiz.de/10012518738