This paper investigates the dynamic interdependence of the Australian financial futures markets. We develop a multivariate EGARCH model 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, our empirical results strongly suggest that significant volatility interactions are evident across the three markets.
Baillie, R.T. & DeGennaro, R.P.1990, “Stock returns and volatility”, Journal of Financial and Quantitative Analysis, vol. 25, pp. 203–14.
2.
Bollerslev, T., Chou, R.Y. & Kroner, K.F.1992, “ARCH modeling in finance: A review of the theory and empirical evidence”, Journal of Econometrics, vol. 52, pp. 5–59.
3.
Bollerslev, T. & Wooldridge, J.M.1992, “Quasi‐maximum likelihood estimation and inference in dynamic models with the time varying covariances”. Econometric Reviews, vol. 11, pp. 143–72.
4.
Brailsford, T.J.1996, “Volatility spillovers across the Tasman”, Australian Journal of Management, vol. 21, pp. 13–27.
5.
Chan, K.1992, “A further analysis of the lead‐lag relationship between the cash markets and stock index futures index”, Review of Financial Studies, vol. 5, pp. 122–52.
6.
Chin, K., Chan, K.C. & Karolyi, G.A.1991, “Intraday volatility in the stock index and stock index futures markets”. Review of Financial Studies, vol. 4, pp. 637–84.
7.
Engle, R.F. & Ng, V.K.1993, “Measuring and testing the impact of news on volatility”, Journal of Finance, vol. 48, pp. 1749–78.
8.
Fleming, J., Kirby, C. & Ostdiek, B.1998, “Information and volatility linkages in the stock, bond, and money markets”, Journal of Financial Economics, vol. 49, pp. 111–37.
9.
Frino, A. & West, A.1999, “The lead‐lag relationship between stock index and stock index futures contracts: Further Australian evidence”, ABACUS, a Journal of Accounting, Finance and Business Studies, vol. 35, pp. 333–41.
10.
Hodgson, A., Kendig, C. & Tahir, M.1993, “Intraday patterns in related markets: Futures and cash prices”, Accounting Research Journal, vol. 6, no. 2, pp. 36–50.
11.
Kanas, A.1998, “Volatility spillovers across equity markets: European evidence”, Applied Financial Economics, vol. 8, pp. 245–56.
12.
Karolyi, G.A. & Stulz, R.M.1996, “Why do markets move together? An investigation of US —Japan stock return comovements”, Journal of Finance, vol. 51, pp. 951–86.
13.
Koutmos, G.1996, “Modeling the dynamic interdependence of major European stock markets”, Journal of Business Finance & Accounting, vol. 23, pp. 975–88.
14.
Kroner, K.F. & Ng, V.K.1998, “Modeling asymmetric comovements of asset returns”, Review of Financial Studies, vol. 11, pp. 817–44.
15.
Nelson, D.B.1991, “Conditional heteroskedasticity in asset returns: A new approach”, Econometrica, vol. 59, pp. 347–70.
16.
Racine, M.D. & Ackert, L.F.1998, ”Time‐varying volatility in Canadian and US stock index and index futures markets: A multivariate analysis“, Federal Reserve Bank of Atlanta, working paper, pp. 98–14.
17.
Santis, G.D. & Gerard, B.1997, “International asset pricing and portfolio diversification with time‐varying risk”, Journal of Finance, vol. 52, pp. 1881–912.
18.
Stoll, H.R. & Whaley, R.E.1990, “The dynamics of stock index and stock index futures returns”, Journal of Financial and Quantitative Analysis, vol. 24, pp. 441–68.