Contemporaneous intra-day volume, option, and futures volatility transmissions across parallel markets

The primary objective of this article is to investigate volatility transmission across three parallel markets operating on the Sydney Futures Exchange (SFE), both within and out of sample. Half-hourly observations are sampled from transaction data for the share price index (SPI) futures, SPI futures options, and 90-day bank accepted bill (BAB) futures markets, and the analysis is carried out using the simultaneous volatility (SVL) system of equations as well as competing volatility models. The results confirm the poor ability of GARCH models to fit intraday data. This study also applies an artificial nesting procedure to evaluate the out-of-sample volatility forecasts. Implied volatility has very limited (if any) predictive power when evaluated in isolation, whereas the SVL model with implied volatility embedded provides incremental information relative to competing model forecasts.

Time varying hedge ratios : an application to the Indian stock futures market

This paper investigates time-varying optimal hedge ratios in individual stock futures markets in India. The analysis employs data on individual stock futures from an unexplored but highly traded (both in terms of volume and quantity) emerging market. The hedge ratios derived in this study incorporate mean reversion in volatility, which is an important extension of the bivariate BEKK-GARCH model of Engle and Kroner. This extension generates improved optimal hedge ratios over the traditional BEKK-GARCH model and static error correction type alternatives.

Roles, responsibilities and futures of chief information officers (CIOs) in the public sector

This paper discusses in its entirety, the CIO (Chief Information Officer) position in the public sector. Governments are increasingly adopting Information Technology for internal processes and for the delivery of service to their citizens. It includes literature on CIO roles and responsibilities which is heavily based on the private sector, due to the recognition of the role in this sector over twenty years. The position is just evolving in the public sector, and due to the context in which the public sector operates there are some similarities as well as vast differences. An evaluation of existing CIO models and theories form the basis for research on CIO roles, responsibilities and future within the public sector.

"Information effect" of economic news: SPI futures

The present study investigates the behaviour of Share Price Index (SPI) futures returns, volatility, and trading volume behaviour around the announcement of Current Account Deficit (CAD), Gross Domestic Product (GDP), and Inflation (CPI). The futures market data are sampled at 1-, 5-, and 10-min intervals at the announcement time. After controlling for risk, a significant positive abnormal return can be earned based on the good news release. However, it is unlikely that traders could make an economic profit by exploiting this effect. In this sense, this futures market returns are found to react efficiently to good news. Volatility behaviour around announcements provides the same conclusion. As for the relationship between returns, volatility, and volume upon information arrival, returns are positively related to trading volume, which is inconsistent with the ‘short sales constraint’ theory. Trading volume is found to increase as the level of volatility rises. The redenomination of the SPI futures and options contract from A$100 to A$25 per basis point is found to increase trading volume in excess of that expected due to the redenomination. However, market return and volatility are unaffected by the redenomination.

Modelling linkages between Australian financial futures markets

This paper investigates the dynamic interdependence of the Australian financial futures markets. A multivariate EGARCH model is developed to investigate linkages and stochastic volatility interactions between the 10-year Treasury bond, 90-day bank-accepted bill, and the All Ordinaries share price index futures markets. In this analysis, the empirical results strongly suggest that significant volatility interactions are evident across the 3 markets.

Intraday periodicity and long memory volatility processes in the Korean bond futures market

This article examines long memory volatility processes in the 5 minute Korean Treasury bond futures data using two different techniques: the GPH test and the EML test. Two proxies of volatility returns are used: absolute returns and square returns. We found intraday periodicity and autocorrelation persistence in the volatility for the 5 minute returns. The empirical results from both techniques indicate that there is little evidence of long memory in the level of returns, but there is significant evidence of long memory in the absolute returns and the square returns. This implies that volatility is best characterised by long memory processes. Additionally, we found that the absolute returns are the most appropriate indicator to represent the long memory volatility processes.

Emerging futures : innovation in teaching and learning in VET

This report on Innovation in Teaching and Learning in the vocational education and training (VET) sector demonstrates that pressures for change are flowing with increasing force into teaching and learning practice within VET. As a consequence of this ongoing change, wider, deeper and more frequent innovation is now needed in VET teaching and learning practices. However, this report shows that there are good grounds for optimism about the quality and scope of current innovation in teaching and learning practices in VET. The particular and local instances of practitioner innovation found in the research for this project serve as a reminder of the many different ways in which VET practitioners are knowledgeable and innovative. Positive futures for VET are emerging, as a result of this practitioner innovation. A literature review, interviews, focus groups and case study research inform the key findings.